Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use
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{"title"=>"Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use", "type"=>"journal", "authors"=>[{"first_name"=>"Thomas P.A.", "last_name"=>"Debray", "scopus_author_id"=>"54879335700"}, {"first_name"=>"Richard D.", "last_name"=>"Riley", "scopus_author_id"=>"7201915531"}, {"first_name"=>"Maroeska M.", "last_name"=>"Rovers", "scopus_author_id"=>"7003571463"}, {"first_name"=>"Johannes B.", "last_name"=>"Reitsma", "scopus_author_id"=>"7004204084"}, {"first_name"=>"Karel G.M.", "last_name"=>"Moons", "scopus_author_id"=>"7004546169"}], "year"=>2015, "source"=>"PLoS Medicine", "identifiers"=>{"issn"=>"15491676", "scopus"=>"2-s2.0-84946072388", "pmid"=>"26461078", "doi"=>"10.1371/journal.pmed.1001886", "pui"=>"606752682", "isbn"=>"1549-1277", "sgr"=>"84946072388"}, "id"=>"d39d6cd0-2734-3089-ad68-1cc57451f7df", "abstract"=>"The article discusses the guidance for the conduct of the individual participant data meta-analyses (IPD-MA) of the prediction modeling studies. Topics discussed include the unique opportunities provided by IPD-MA for therapeutic studies, the reliance of prediction models on multiple predictors, and the focus of most articles on the estimation of relative quantities.", "link"=>"http://www.mendeley.com/research/individual-participant-data-ipd-metaanalyses-diagnostic-prognostic-modeling-studies-guidance", "reader_count"=>20, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Librarian"=>1, "Student > Doctoral Student"=>2, "Researcher"=>7, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>1, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Librarian"=>1, "Student > Doctoral Student"=>2, "Researcher"=>7, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>1, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Unspecified"=>5, "Mathematics"=>4, "Medicine and Dentistry"=>9, "Psychology"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>9}, "Psychology"=>{"Psychology"=>1}, "Mathematics"=>{"Mathematics"=>4}, "Unspecified"=>{"Unspecified"=>5}}, "reader_count_by_country"=>{"United States"=>1}, "group_count"=>2}

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Figshare

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  • {"unique-ip"=>"17", "full-text"=>"18", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"75", "full-text"=>"85", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"16", "full-text"=>"20", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"15", "full-text"=>"19", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"10", "full-text"=>"12", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"19", "full-text"=>"21", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"19", "full-text"=>"24", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"27", "full-text"=>"26", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"34", "full-text"=>"38", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}

Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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