Controlling confounding of treatment effects in administrative data in the presence of time-varying baseline confounders

Pharmacoepidemiology and Drug Safety

Volumn 25, Issue 3, 2016, Pages 269-277

  Gilbertson, David T ^a   Bradbury, Brian D ^b   Wetmore, James B ^a   Weinhandl, Eric D ^a   Monda, Keri L ^b   Liu, Jiannong ^a   Brookhart, M Alan ^c   Gustafson, Sally K ^a   Roberts, Tricia ^a   Collins, Allan J ^a,d   Rothman, Kenneth J ^e,f  

^a MINNEAPOLIS MEDICAL RESEARCH FOUNDATION   (United States)

^b AMGEN INC   (United States)

^c University of North Carolina at Chapel Hill   (United States)

^d UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

^e RTI HEALTH SOLUTIONS   (United States)

^f BOSTON UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Administrative claims data; Comorbid conditions; Confounding; Nonexperimental research; Pharmacoepidemiology

Indexed keywords

ACUTE DISEASE; ADULT; AGED; ARTICLE; CHRONIC DISEASE; CHRONIC OBSTRUCTIVE LUNG DISEASE; CLINICAL ASSESSMENT; CLINICAL EVALUATION; COMORBIDITY; COMORBIDITY ASSESSMENT; CONGESTIVE HEART FAILURE; CONTROLLED STUDY; CORONARY ARTERY ATHEROSCLEROSIS; DIABETES MELLITUS; DISEASE ASSOCIATION; DRUG EFFECT; FEMALE; FOLLOW UP; HAZARD RATIO; HEMODIALYSIS; HOSPITAL PATIENT; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICARE; MORTALITY; OUTCOME ASSESSMENT; OUTPATIENT CARE; PHARMACOEPIDEMIOLOGY; PRIORITY JOURNAL; PROPORTIONAL HAZARDS MODEL; TIME SERIES ANALYSIS; TIME TO TREATMENT; EPIDEMIOLOGY; FACTUAL DATABASE; INSURANCE; PROCEDURES; STATISTICS AND NUMERICAL DATA; TIME FACTOR; UNITED STATES;

ACUTE DISEASE; CHRONIC DISEASE; CONFOUNDING FACTORS (EPIDEMIOLOGY); DATABASES, FACTUAL; HUMANS; INSURANCE CLAIM REPORTING; MEDICARE; OUTCOME ASSESSMENT (HEALTH CARE); PHARMACOEPIDEMIOLOGY; PROPORTIONAL HAZARDS MODELS; RENAL DIALYSIS; TIME FACTORS; UNITED STATES;

EID: 84959318872     PISSN: 10538569     EISSN: 10991557     Source Type: Journal    
DOI: 10.1002/pds.3922     Document Type: Article

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