{"id":"https://openalex.org/W2893275441","doi":"https://doi.org/10.1093/jamia/ocy121","title":"Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data","display_name":"Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data","publication_year":2018,"publication_date":"2018-08-23","ids":{"openalex":"https://openalex.org/W2893275441","doi":"https://doi.org/10.1093/jamia/ocy121","mag":"2893275441","pmid":"https://pubmed.ncbi.nlm.nih.gov/30272176"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocy121","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocy121","pdf_url":"https://academic.oup.com/jamia/article-pdf/25/12/1669/34150640/ocy121.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/jamia/article-pdf/25/12/1669/34150640/ocy121.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046011683","display_name":"Ian Barnett","orcid":"https://orcid.org/0000-0003-3256-5703"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ian Barnett","raw_affiliation_strings":["Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0003-3256-5703","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026523515","display_name":"John Torous","orcid":"https://orcid.org/0000-0002-5362-7937"},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Torous","raw_affiliation_strings":["Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA","Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I1316535847","https://openalex.org/I136199984"]},{"raw_affiliation_string":"Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I1316535847","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045799059","display_name":"Patrick Staples","orcid":"https://orcid.org/0000-0001-6215-7343"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick Staples","raw_affiliation_strings":["Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000706062","display_name":"Matcheri S. Keshavan","orcid":"https://orcid.org/0000-0002-5945-888X"},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matcheri Keshavan","raw_affiliation_strings":["Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I1316535847","https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041695925","display_name":"Jukka\u2010Pekka Onnela","orcid":"https://orcid.org/0000-0001-6613-8668"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jukka-Pekka Onnela","raw_affiliation_strings":["Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046011683"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":4.3216,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.94561313,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"25","issue":"12","first_page":"1669","last_page":"1674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.273499995470047,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.273499995470047,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11539","display_name":"Survey Methodology and Nonresponse","score":0.19499999284744263,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11446","display_name":"Mobile Health and mHealth Applications","score":0.13330000638961792,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6419093608856201},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.5229595303535461},{"id":"https://openalex.org/keywords/longitudinal-data","display_name":"Longitudinal data","score":0.5095760822296143},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37469571828842163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.367831826210022},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3527337610721588},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3205055296421051},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2964469790458679},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15434837341308594}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6419093608856201},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.5229595303535461},{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.5095760822296143},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37469571828842163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.367831826210022},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3527337610721588},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3205055296421051},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2964469790458679},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15434837341308594}],"mesh":[{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008137","descriptor_name":"Longitudinal Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008137","descriptor_name":"Longitudinal Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008137","descriptor_name":"Longitudinal Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008137","descriptor_name":"Longitudinal Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017216","descriptor_name":"Telemedicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017216","descriptor_name":"Telemedicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017216","descriptor_name":"Telemedicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017216","descriptor_name":"Telemedicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocy121","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocy121","pdf_url":"https://academic.oup.com/jamia/article-pdf/25/12/1669/34150640/ocy121.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:30272176","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30272176","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:6658863","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6658863","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/jamia/ocy121","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocy121","pdf_url":"https://academic.oup.com/jamia/article-pdf/25/12/1669/34150640/ocy121.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1102045059","display_name":null,"funder_award_id":"1DP2MH103909","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G5494844549","display_name":null,"funder_award_id":"DP2 MH103909","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G7414776077","display_name":null,"funder_award_id":"1DP2MH103909","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306147","display_name":"Brain and Behavior Research Foundation","ror":"https://ror.org/03a63f080"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2893275441.pdf","grobid_xml":"https://content.openalex.org/works/W2893275441.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1555711139","https://openalex.org/W1596515083","https://openalex.org/W1634632133","https://openalex.org/W1824047490","https://openalex.org/W1866403196","https://openalex.org/W1894490285","https://openalex.org/W1920010643","https://openalex.org/W1976779238","https://openalex.org/W1989972396","https://openalex.org/W1993513616","https://openalex.org/W2005494216","https://openalex.org/W2006145698","https://openalex.org/W2009660843","https://openalex.org/W2012757283","https://openalex.org/W2014581807","https://openalex.org/W2024103316","https://openalex.org/W2036714085","https://openalex.org/W2039811614","https://openalex.org/W2049633694","https://openalex.org/W2056605849","https://openalex.org/W2064921494","https://openalex.org/W2074248125","https://openalex.org/W2080468243","https://openalex.org/W2082267127","https://openalex.org/W2091841926","https://openalex.org/W2099756352","https://openalex.org/W2108818539","https://openalex.org/W2110065044","https://openalex.org/W2112659545","https://openalex.org/W2116739230","https://openalex.org/W2125905177","https://openalex.org/W2139972977","https://openalex.org/W2146273335","https://openalex.org/W2149860264","https://openalex.org/W2217442075","https://openalex.org/W2284967628","https://openalex.org/W2296350496","https://openalex.org/W2342621145","https://openalex.org/W2347128633","https://openalex.org/W2392412101","https://openalex.org/W2470543731","https://openalex.org/W2592797645","https://openalex.org/W2962725972","https://openalex.org/W3103154150","https://openalex.org/W6640122379","https://openalex.org/W6675074827","https://openalex.org/W6720158226"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4205958290","https://openalex.org/W4384212932","https://openalex.org/W4390590544","https://openalex.org/W2096195258","https://openalex.org/W2990460313","https://openalex.org/W2973458857"],"abstract_inverted_index":{"Objectives:":[0],"As":[1],"smartphones":[2],"and":[3,57,74,91,144],"sensors":[4],"become":[5],"more":[6],"prominently":[7],"used":[8,14,160],"in":[9,47,60,102,161],"mobile":[10],"health,":[11],"the":[12,17,43,128],"methods":[13,46,157],"to":[15,183],"analyze":[16],"resulting":[18],"data":[19,73,92,98,164,172],"must":[20,39],"also":[21],"be":[22,40],"carefully":[23],"considered.":[24],"The":[25],"advantages":[26],"of":[27,33,64,69,84,112,123,141,156],"smartphone-based":[28],"studies,":[29],"including":[30],"large":[31],"quantities":[32],"temporally":[34,70],"dense":[35,71],"longitudinally":[36],"captured":[37],"data,":[38],"matched":[41],"with":[42,115],"appropriate":[44],"statistical":[45,132],"order":[48],"draw":[49],"valid":[50],"conclusions.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,166],"review":[56],"provide":[58],"recommendations":[59],"3":[61,154],"critical":[62],"domains":[63],"analysis":[65],"for":[66,148],"these":[67,85,153],"types":[68],"longitudinal":[72,113,135],"highlight":[75],"how":[76],"misleading":[77],"results":[78],"can":[79],"arise":[80],"from":[81],"improper":[82],"use":[83],"methods.":[86],"Target":[87],"Audience:":[88],"Clinicians,":[89],"biostatisticians,":[90],"analysts":[93],"who":[94],"have":[95],"digital":[96,105,162,185],"phenotyping":[97,106,163],"or":[99,108],"are":[100,158],"interested":[101],"performing":[103],"a":[104],"study":[107,114],"any":[109],"other":[110],"type":[111],"frequent":[116],"measurements":[117],"taken":[118],"over":[119],"an":[120],"extended":[121],"period":[122],"time.":[124],"Scope:":[125],"We":[126],"cover":[127],"following":[129],"topics:":[130],"1)":[131],"models":[133],"using":[134],"repeated":[136],"measures,":[137],"2)":[138],"multiple":[139],"comparisons":[140],"correlated":[142,149],"tests,":[143],"3)":[145],"dimension":[146],"reduction":[147],"behavioral":[150],"covariates.":[151],"While":[152],"classes":[155],"frequently":[159],"analysis,":[165],"demonstrate":[167],"via":[168],"actual":[169],"clinical":[170],"studies":[171],"that":[173],"they":[174],"may":[175],"sometimes":[176],"not":[177],"perform":[178],"as":[179],"expected":[180],"when":[181],"applied":[182],"novel":[184],"data.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":10}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}