Use of High-Frequency In-Home Monitoring Data May Reduce Sample Sizes Needed in Clinical Trials
Events
Loading … Spinner

Mendeley | Further Information

{"title"=>"Use of high-frequency in-home monitoring data may reduce sample sizes needed in clinical trials", "type"=>"journal", "authors"=>[{"first_name"=>"Hiroko H.", "last_name"=>"Dodge", "scopus_author_id"=>"7006183742"}, {"first_name"=>"Jian", "last_name"=>"Zhu", "scopus_author_id"=>"57200241789"}, {"first_name"=>"Nora C.", "last_name"=>"Mattek", "scopus_author_id"=>"15520014800"}, {"first_name"=>"Daniel", "last_name"=>"Austin", "scopus_author_id"=>"36890417100"}, {"first_name"=>"Judith", "last_name"=>"Kornfeld", "scopus_author_id"=>"56928094300"}, {"first_name"=>"Jeffrey A.", "last_name"=>"Kaye", "scopus_author_id"=>"35351332100"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84945571048", "sgr"=>"84945571048", "doi"=>"10.1371/journal.pone.0138095", "pui"=>"606624566", "pmid"=>"26379170", "isbn"=>"1932-6203", "issn"=>"19326203"}, "id"=>"f0db8ec1-1305-34e5-a76e-719cd18b0ec8", "abstract"=>"BACKGROUND: Trials in Alzheimer's disease are increasingly focusing on prevention in asymptomatic individuals. This poses a challenge in examining treatment effects since currently available approaches are often unable to detect cognitive and functional changes among asymptomatic individuals. Resultant small effect sizes require large sample sizes using biomarkers or secondary measures for randomized controlled trials (RCTs). Better assessment approaches and outcomes capable of capturing subtle changes during asymptomatic disease stages are needed. OBJECTIVE: We aimed to develop a new approach to track changes in functional outcomes by using individual-specific distributions (as opposed to group-norms) of unobtrusive continuously monitored in-home data. Our objective was to compare sample sizes required to achieve sufficient power to detect prevention trial effects in trajectories of outcomes in two scenarios: (1) annually assessed neuropsychological test scores (a conventional approach), and (2) the likelihood of having subject-specific low performance thresholds, both modeled as a function of time. METHODS: One hundred nineteen cognitively intact subjects were enrolled and followed over 3 years in the Intelligent Systems for Assessing Aging Change (ISAAC) study. Using the difference in empirically identified time slopes between those who remained cognitively intact during follow-up (normal control, NC) and those who transitioned to mild cognitive impairment (MCI), we estimated comparative sample sizes required to achieve up to 80% statistical power over a range of effect sizes for detecting reductions in the difference in time slopes between NC and MCI incidence before transition. RESULTS: Sample size estimates indicated approximately 2000 subjects with a follow-up duration of 4 years would be needed to achieve a 30% effect size when the outcome is an annually assessed memory test score. When the outcome is likelihood of low walking speed defined using the individual-specific distributions of walking speed collected at baseline, 262 subjects are required. Similarly for computer use, 26 subjects are required. CONCLUSIONS: Individual-specific thresholds of low functional performance based on high-frequency in-home monitoring data distinguish trajectories of MCI from NC and could substantially reduce sample sizes needed in dementia prevention RCTs.", "link"=>"http://www.mendeley.com/research/highfrequency-inhome-monitoring-data-reduce-sample-sizes-needed-clinical-trials", "reader_count"=>37, "reader_count_by_academic_status"=>{"Unspecified"=>7, "Professor > Associate Professor"=>2, "Librarian"=>1, "Researcher"=>10, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>4}, "reader_count_by_user_role"=>{"Unspecified"=>7, "Professor > Associate Professor"=>2, "Librarian"=>1, "Researcher"=>10, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>4}, "reader_count_by_subject_area"=>{"Unspecified"=>8, "Agricultural and Biological Sciences"=>2, "Chemistry"=>1, "Computer Science"=>2, "Decision Sciences"=>1, "Engineering"=>3, "Nursing and Health Professions"=>4, "Biochemistry, Genetics and Molecular Biology"=>1, "Medicine and Dentistry"=>5, "Neuroscience"=>2, "Design"=>1, "Psychology"=>5, "Social Sciences"=>1, "Linguistics"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Social Sciences"=>{"Social Sciences"=>1}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Psychology"=>{"Psychology"=>5}, "Unspecified"=>{"Unspecified"=>8}, "Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>3}, "Chemistry"=>{"Chemistry"=>1}, "Neuroscience"=>{"Neuroscience"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Computer Science"=>{"Computer Science"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>4}, "Linguistics"=>{"Linguistics"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}}, "reader_count_by_country"=>{"Canada"=>1, "United States"=>1}, "group_count"=>1}

Scopus | Further Information

{"@_fa"=>"true", "link"=>[{"@_fa"=>"true", "@ref"=>"self", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84945571048"}, {"@_fa"=>"true", "@ref"=>"author-affiliation", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84945571048?field=author,affiliation"}, {"@_fa"=>"true", "@ref"=>"scopus", "@href"=>"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84945571048&origin=inward"}, {"@_fa"=>"true", "@ref"=>"scopus-citedby", "@href"=>"https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84945571048&origin=inward"}], "prism:url"=>"https://api.elsevier.com/content/abstract/scopus_id/84945571048", "dc:identifier"=>"SCOPUS_ID:84945571048", "eid"=>"2-s2.0-84945571048", "dc:title"=>"Use of high-frequency in-home monitoring data may reduce sample sizes needed in clinical trials", "dc:creator"=>"Dodge H.H.", "prism:publicationName"=>"PLoS ONE", "prism:eIssn"=>"19326203", "prism:volume"=>"10", "prism:issueIdentifier"=>"9", "prism:pageRange"=>nil, "prism:coverDate"=>"2015-09-17", "prism:coverDisplayDate"=>"17 September 2015", "prism:doi"=>"10.1371/journal.pone.0138095", "citedby-count"=>"29", "affiliation"=>[{"@_fa"=>"true", "affilname"=>"Oregon Health & Science University", "affiliation-city"=>"Portland", "affiliation-country"=>"United States"}, {"@_fa"=>"true", "affilname"=>"Michigan Medicine", "affiliation-city"=>"Ann Arbor", "affiliation-country"=>"United States"}], "pubmed-id"=>"26379170", "prism:aggregationType"=>"Journal", "subtype"=>"ar", "subtypeDescription"=>"Article", "article-number"=>"e0138095", "source-id"=>"10600153309", "openaccess"=>"1", "openaccessFlag"=>true}

Facebook

  • {"url"=>"http%3A%2F%2Fjournals.plos.org%2Fplosone%2Farticle%3Fid%3D10.1371%252Fjournal.pone.0138095", "share_count"=>0, "like_count"=>0, "comment_count"=>0, "click_count"=>0, "total_count"=>0}

Counter

  • {"month"=>"9", "year"=>"2015", "pdf_views"=>"33", "xml_views"=>"9", "html_views"=>"377"}
  • {"month"=>"10", "year"=>"2015", "pdf_views"=>"20", "xml_views"=>"0", "html_views"=>"95"}
  • {"month"=>"11", "year"=>"2015", "pdf_views"=>"8", "xml_views"=>"1", "html_views"=>"46"}
  • {"month"=>"12", "year"=>"2015", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"32"}
  • {"month"=>"1", "year"=>"2016", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"35"}
  • {"month"=>"2", "year"=>"2016", "pdf_views"=>"1", "xml_views"=>"0", "html_views"=>"33"}
  • {"month"=>"3", "year"=>"2016", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"26"}
  • {"month"=>"4", "year"=>"2016", "pdf_views"=>"12", "xml_views"=>"0", "html_views"=>"33"}
  • {"month"=>"5", "year"=>"2016", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"20"}
  • {"month"=>"6", "year"=>"2016", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"28"}
  • {"month"=>"7", "year"=>"2016", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"24"}
  • {"month"=>"8", "year"=>"2016", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"39"}
  • {"month"=>"9", "year"=>"2016", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"51"}
  • {"month"=>"10", "year"=>"2016", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"36"}
  • {"month"=>"11", "year"=>"2016", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"34"}
  • {"month"=>"12", "year"=>"2016", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"23"}
  • {"month"=>"1", "year"=>"2017", "pdf_views"=>"9", "xml_views"=>"2", "html_views"=>"27"}
  • {"month"=>"2", "year"=>"2017", "pdf_views"=>"1", "xml_views"=>"0", "html_views"=>"29"}
  • {"month"=>"3", "year"=>"2017", "pdf_views"=>"1", "xml_views"=>"0", "html_views"=>"17"}
  • {"month"=>"4", "year"=>"2017", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"24"}
  • {"month"=>"5", "year"=>"2017", "pdf_views"=>"14", "xml_views"=>"0", "html_views"=>"63"}
  • {"month"=>"6", "year"=>"2017", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"86"}
  • {"month"=>"7", "year"=>"2017", "pdf_views"=>"10", "xml_views"=>"2", "html_views"=>"54"}
  • {"month"=>"8", "year"=>"2017", "pdf_views"=>"3", "xml_views"=>"1", "html_views"=>"47"}
  • {"month"=>"9", "year"=>"2017", "pdf_views"=>"9", "xml_views"=>"1", "html_views"=>"78"}
  • {"month"=>"10", "year"=>"2017", "pdf_views"=>"7", "xml_views"=>"2", "html_views"=>"78"}
  • {"month"=>"11", "year"=>"2017", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"116"}
  • {"month"=>"12", "year"=>"2017", "pdf_views"=>"2", "xml_views"=>"1", "html_views"=>"86"}
  • {"month"=>"1", "year"=>"2018", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"57"}
  • {"month"=>"2", "year"=>"2018", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"17"}
  • {"month"=>"3", "year"=>"2018", "pdf_views"=>"9", "xml_views"=>"1", "html_views"=>"34"}
  • {"month"=>"4", "year"=>"2018", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"32"}
  • {"month"=>"5", "year"=>"2018", "pdf_views"=>"10", "xml_views"=>"2", "html_views"=>"21"}
  • {"month"=>"6", "year"=>"2018", "pdf_views"=>"7", "xml_views"=>"1", "html_views"=>"35"}
  • {"month"=>"7", "year"=>"2018", "pdf_views"=>"3", "xml_views"=>"3", "html_views"=>"33"}
  • {"month"=>"8", "year"=>"2018", "pdf_views"=>"3", "xml_views"=>"2", "html_views"=>"25"}
  • {"month"=>"9", "year"=>"2018", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"37"}
  • {"month"=>"10", "year"=>"2018", "pdf_views"=>"6", "xml_views"=>"1", "html_views"=>"18"}
  • {"month"=>"11", "year"=>"2018", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"17"}
  • {"month"=>"12", "year"=>"2018", "pdf_views"=>"3", "xml_views"=>"1", "html_views"=>"12"}
  • {"month"=>"1", "year"=>"2019", "pdf_views"=>"7", "xml_views"=>"1", "html_views"=>"17"}
  • {"month"=>"2", "year"=>"2019", "pdf_views"=>"6", "xml_views"=>"1", "html_views"=>"11"}
  • {"month"=>"3", "year"=>"2019", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"154"}
  • {"month"=>"4", "year"=>"2019", "pdf_views"=>"11", "xml_views"=>"0", "html_views"=>"15"}
  • {"month"=>"5", "year"=>"2019", "pdf_views"=>"20", "xml_views"=>"1", "html_views"=>"44"}
  • {"month"=>"6", "year"=>"2019", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"31"}
  • {"month"=>"7", "year"=>"2019", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"23"}
  • {"month"=>"8", "year"=>"2019", "pdf_views"=>"21", "xml_views"=>"1", "html_views"=>"31"}
  • {"month"=>"9", "year"=>"2019", "pdf_views"=>"11", "xml_views"=>"0", "html_views"=>"17"}
  • {"month"=>"10", "year"=>"2019", "pdf_views"=>"18", "xml_views"=>"1", "html_views"=>"56"}
  • {"month"=>"11", "year"=>"2019", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"31"}
  • {"month"=>"12", "year"=>"2019", "pdf_views"=>"8", "xml_views"=>"2", "html_views"=>"22"}
  • {"month"=>"1", "year"=>"2020", "pdf_views"=>"14", "xml_views"=>"0", "html_views"=>"24"}
  • {"month"=>"2", "year"=>"2020", "pdf_views"=>"9", "xml_views"=>"2", "html_views"=>"16"}
  • {"month"=>"3", "year"=>"2020", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"18"}
  • {"month"=>"4", "year"=>"2020", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"22"}
  • {"month"=>"5", "year"=>"2020", "pdf_views"=>"20", "xml_views"=>"1", "html_views"=>"23"}
  • {"month"=>"6", "year"=>"2020", "pdf_views"=>"4", "xml_views"=>"1", "html_views"=>"13"}
  • {"month"=>"7", "year"=>"2020", "pdf_views"=>"12", "xml_views"=>"0", "html_views"=>"16"}
  • {"month"=>"8", "year"=>"2020", "pdf_views"=>"8", "xml_views"=>"1", "html_views"=>"23"}
  • {"month"=>"9", "year"=>"2020", "pdf_views"=>"14", "xml_views"=>"0", "html_views"=>"19"}
  • {"month"=>"10", "year"=>"2020", "pdf_views"=>"16", "xml_views"=>"0", "html_views"=>"18"}
  • {"month"=>"11", "year"=>"2020", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"11"}

Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2268726"], "description"=>"<p>**: p<0.01.</p><p>#: Baseline week</p><p>##: PC usage was not assessed for all subjects.</p><p>Baseline characteristics (means or percentages given with SD in parentheses).</p>", "links"=>[], "tags"=>["Sample Sizes Needed", "sample sizes", "transition.ResultsSample size estimates", "memory test score", "Clinical Trials BackgroundTrials", "subject", "dementia prevention RCTs", "time slopes", "effect sizes", "nc", "mci", "prevention trial effects", "outcome", "neuropsychological test scores", "isaac", "Assessing Aging Change", "Better assessment approaches"], "article_id"=>1546992, "categories"=>["Uncategorised"], "users"=>["Hiroko H. Dodge", "Jian Zhu", "Nora C. Mattek", "Daniel Austin", "Judith Kornfeld", "Jeffrey A. Kaye"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138095.t001", "stats"=>{"downloads"=>5, "page_views"=>23, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Baseline_characteristics_means_or_percentages_given_with_SD_in_parentheses_/1546992", "title"=>"Baseline characteristics (means or percentages given with SD in parentheses).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-09-17 02:50:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268727"], "description"=>"<p>* Empirical effect size: group effect on slope/slope for normal group (i.e., MCI groups as a reference group). Trajectory after onset of MCI is not included in the slope estimation (i.e., only trajectory up to onset was used). Equal allocation to placebo and treatment groups is assumed.</p><p>** Effect size: when MCI incidence group is the reference group, the normal (control) group can be treated as a group with an 'improved' effect. In clinical trial we assume that the treatment group would have 20%-50% of the improvement defined by the effect of normal group.</p><p>Expected outcomes and total sample size estimates: conventional approach using annual neuropsychological test results.</p>", "links"=>[], "tags"=>["Sample Sizes Needed", "sample sizes", "transition.ResultsSample size estimates", "memory test score", "Clinical Trials BackgroundTrials", "subject", "dementia prevention RCTs", "time slopes", "effect sizes", "nc", "mci", "prevention trial effects", "outcome", "neuropsychological test scores", "isaac", "Assessing Aging Change", "Better assessment approaches"], "article_id"=>1546993, "categories"=>["Uncategorised"], "users"=>["Hiroko H. Dodge", "Jian Zhu", "Nora C. Mattek", "Daniel Austin", "Judith Kornfeld", "Jeffrey A. Kaye"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138095.t002", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Expected_outcomes_and_total_sample_size_estimates_conventional_approach_using_annual_neuropsychological_test_results_/1546993", "title"=>"Expected outcomes and total sample size estimates: conventional approach using annual neuropsychological test results.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-09-17 02:50:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268728"], "description"=>"<p>* Empirical effect size: group effect on slope/slope for normal group (i.e., MCI groups as a reference group). Trajectory after onset of MCI is not included in the slope estimation (i.e., only trajectory up to onset was used). Equal allocation to placebo and treatment groups is assumed.</p><p>** Effect size: when MCI incidence group is the reference group, the normal (control) group can be treated as a group with an 'improved' effect. In clinical trial we assume that the treatment group would have 20%-50% of the improvement defined by the effect of normal group.</p><p>***: Log transformed weekly mean PC usage (mean daily PC usage in minutes per week). Equal allocation to placebo and treatment groups is assumed.</p><p>Expected outcomes and total (placebo and treatment group combined) sample size estimates: continuous activity monitoring approach using cutoff thresholds derived from individual specific distributions of daily activities observed during the 1<sup>st</sup> 3 months of in-home monitoring data.</p>", "links"=>[], "tags"=>["Sample Sizes Needed", "sample sizes", "transition.ResultsSample size estimates", "memory test score", "Clinical Trials BackgroundTrials", "subject", "dementia prevention RCTs", "time slopes", "effect sizes", "nc", "mci", "prevention trial effects", "outcome", "neuropsychological test scores", "isaac", "Assessing Aging Change", "Better assessment approaches"], "article_id"=>1546994, "categories"=>["Uncategorised"], "users"=>["Hiroko H. Dodge", "Jian Zhu", "Nora C. Mattek", "Daniel Austin", "Judith Kornfeld", "Jeffrey A. Kaye"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138095.t003", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Expected_outcomes_and_total_placebo_and_treatment_group_combined_sample_size_estimates_continuous_activity_monitoring_approach_using_cutoff_thresholds_derived_from_individual_specific_distributions_of_daily_activities_observed_during_the_1_st_3_months_of/1546994", "title"=>"Expected outcomes and total (placebo and treatment group combined) sample size estimates: continuous activity monitoring approach using cutoff thresholds derived from individual specific distributions of daily activities observed during the 1<sup>st</sup> 3 months of in-home monitoring data.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-09-17 02:50:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268740", "https://ndownloader.figshare.com/files/2268741", "https://ndownloader.figshare.com/files/2268742", "https://ndownloader.figshare.com/files/2268743", "https://ndownloader.figshare.com/files/2268744", "https://ndownloader.figshare.com/files/2268745"], "description"=>"<div><p>Background</p><p>Trials in Alzheimer’s disease are increasingly focusing on prevention in asymptomatic individuals. This poses a challenge in examining treatment effects since currently available approaches are often unable to detect cognitive and functional changes among asymptomatic individuals. Resultant small effect sizes require large sample sizes using biomarkers or secondary measures for randomized controlled trials (RCTs). Better assessment approaches and outcomes capable of capturing subtle changes during asymptomatic disease stages are needed.</p><p>Objective</p><p>We aimed to develop a new approach to track changes in functional outcomes by using individual-specific distributions (as opposed to group-norms) of unobtrusive continuously monitored in-home data. Our objective was to compare sample sizes required to achieve sufficient power to detect prevention trial effects in trajectories of outcomes in two scenarios: (1) annually assessed neuropsychological test scores (a conventional approach), and (2) the likelihood of having subject-specific low performance thresholds, both modeled as a function of time.</p><p>Methods</p><p>One hundred nineteen cognitively intact subjects were enrolled and followed over 3 years in the Intelligent Systems for Assessing Aging Change (ISAAC) study. Using the difference in empirically identified time slopes between those who remained cognitively intact during follow-up (normal control, NC) and those who transitioned to mild cognitive impairment (MCI), we estimated comparative sample sizes required to achieve up to 80% statistical power over a range of effect sizes for detecting reductions in the difference in time slopes between NC and MCI incidence before transition.</p><p>Results</p><p>Sample size estimates indicated approximately 2000 subjects with a follow-up duration of 4 years would be needed to achieve a 30% effect size when the outcome is an annually assessed memory test score. When the outcome is likelihood of low walking speed defined using the individual-specific distributions of walking speed collected at baseline, 262 subjects are required. Similarly for computer use, 26 subjects are required.</p><p>Conclusions</p><p>Individual-specific thresholds of low functional performance based on high-frequency in-home monitoring data distinguish trajectories of MCI from NC and could substantially reduce sample sizes needed in dementia prevention RCTs.</p></div>", "links"=>[], "tags"=>["Sample Sizes Needed", "sample sizes", "transition.ResultsSample size estimates", "memory test score", "Clinical Trials BackgroundTrials", "subject", "dementia prevention RCTs", "time slopes", "effect sizes", "nc", "mci", "prevention trial effects", "outcome", "neuropsychological test scores", "isaac", "Assessing Aging Change", "Better assessment approaches"], "article_id"=>1547004, "categories"=>["Uncategorised"], "users"=>["Hiroko H. Dodge", "Jian Zhu", "Nora C. Mattek", "Daniel Austin", "Judith Kornfeld", "Jeffrey A. Kaye"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0138095.s001", "https://dx.doi.org/10.1371/journal.pone.0138095.s002", "https://dx.doi.org/10.1371/journal.pone.0138095.s003", "https://dx.doi.org/10.1371/journal.pone.0138095.s004", "https://dx.doi.org/10.1371/journal.pone.0138095.s005", "https://dx.doi.org/10.1371/journal.pone.0138095.s006"], "stats"=>{"downloads"=>2, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Use_of_High_Frequency_In_Home_Monitoring_Data_May_Reduce_Sample_Sizes_Needed_in_Clinical_Trials_/1547004", "title"=>"Use of High-Frequency In-Home Monitoring Data May Reduce Sample Sizes Needed in Clinical Trials", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-09-17 02:50:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268723"], "description"=>"<p>NOTE: According to the baseline (first 90 days) walking speed histograms, subject A (id = 7621) was much slower initially than subject B (id = 11012). However, subject A was only slower than his/her subject specific baseline 10th percentile during 11% of the later weekly follow-ups, and subject B was slower than his/her subject specific baseline 10th percentile during 79% of the weekly follow-ups. This indicates that although subject A was slower at the beginning, his/her walking speed was stable while there was an obvious slowing trend for subject B. The group’s 10th percentile based on the first three months of data is 39.3. Subject B was never slower than the group 10<sup>th</sup> percentile threshold during the entire follow up period. Therefore the fact that subject B got much slower over time was not reflected by using the group specific threshold.</p>", "links"=>[], "tags"=>["Sample Sizes Needed", "sample sizes", "transition.ResultsSample size estimates", "memory test score", "Clinical Trials BackgroundTrials", "subject", "dementia prevention RCTs", "time slopes", "effect sizes", "nc", "mci", "prevention trial effects", "outcome", "neuropsychological test scores", "isaac", "Assessing Aging Change", "Better assessment approaches"], "article_id"=>1546989, "categories"=>["Uncategorised"], "users"=>["Hiroko H. Dodge", "Jian Zhu", "Nora C. Mattek", "Daniel Austin", "Judith Kornfeld", "Jeffrey A. Kaye"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138095.g001", "stats"=>{"downloads"=>0, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Examples_of_subject_specific_distributions_of_walking_speed_/1546989", "title"=>"Examples of subject-specific distributions of walking speed.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-17 02:50:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268725"], "description"=>"<p>Example: Computer use. For each participant, we calculated the 40th percentile of the first available 90 days of daily records of computer usage level (in minutes) and defined his/her individual-specific 40<sup>th</sup> percentile low threshold. Weekly average data based on these 90 days of daily records were then excluded from analysis, and the first week after these 90 days was defined as the baseline week of computer usage for this participant in our analysis. Model description detail is provided in Supplemental Material.</p>", "links"=>[], "tags"=>["Sample Sizes Needed", "sample sizes", "transition.ResultsSample size estimates", "memory test score", "Clinical Trials BackgroundTrials", "subject", "dementia prevention RCTs", "time slopes", "effect sizes", "nc", "mci", "prevention trial effects", "outcome", "neuropsychological test scores", "isaac", "Assessing Aging Change", "Better assessment approaches"], "article_id"=>1546991, "categories"=>["Uncategorised"], "users"=>["Hiroko H. Dodge", "Jian Zhu", "Nora C. Mattek", "Daniel Austin", "Judith Kornfeld", "Jeffrey A. Kaye"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138095.g002", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Likelihood_log_odds_of_days_with_low_threshold_computer_usage_over_time_/1546991", "title"=>"Likelihood (log odds) of days with low threshold computer usage over time.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-17 02:50:13"}

PMC Usage Stats | Further Information

  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"14", "full-text"=>"14", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"4", "full-text"=>"2", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"18", "full-text"=>"12", "pdf"=>"14", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"10", "full-text"=>"7", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"7", "full-text"=>"8", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"4", "full-text"=>"2", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"2", "full-text"=>"3", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2016", "month"=>"9"}
  • {"unique-ip"=>"9", "full-text"=>"11", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
  • {"unique-ip"=>"6", "full-text"=>"9", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
  • {"unique-ip"=>"10", "full-text"=>"17", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"14", "full-text"=>"14", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"7", "full-text"=>"13", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"9", "full-text"=>"24", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"8", "full-text"=>"19", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"10", "full-text"=>"25", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"5", "full-text"=>"3", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
  • {"unique-ip"=>"5", "full-text"=>"8", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
  • {"unique-ip"=>"4", "full-text"=>"5", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"10", "full-text"=>"9", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"8", "full-text"=>"4", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"5", "full-text"=>"8", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"6", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"5", "full-text"=>"6", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"unique-ip"=>"3", "full-text"=>"0", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"8", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"6", "full-text"=>"3", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"8", "full-text"=>"4", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"unique-ip"=>"8", "full-text"=>"3", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"13", "full-text"=>"19", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"5", "full-text"=>"3", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"17", "full-text"=>"15", "pdf"=>"9", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"9", "full-text"=>"14", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
  • {"unique-ip"=>"9", "full-text"=>"5", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"12"}
  • {"unique-ip"=>"11", "full-text"=>"10", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"2"}
  • {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2020", "month"=>"3"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"4"}
  • {"unique-ip"=>"14", "full-text"=>"12", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"1", "year"=>"2020", "month"=>"5"}
  • {"unique-ip"=>"8", "full-text"=>"10", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"12", "cited-by"=>"0", "year"=>"2020", "month"=>"6"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"7"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"8"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
  • {"unique-ip"=>"7", "full-text"=>"11", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}

Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
Loading … Spinner
There are currently no alerts