Outcome-adaptive lasso: Variable selection for causal inference

Biometrics

Volumn 73, Issue 4, 2017, Pages 1111-1122

  Shortreed, Susan M ^a,b   Ertefaie, Ashkan ^c,d  

^a GROUP HEALTH RESEARCH INSTITUTE   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c UNIVERSITY OF ROCHESTER   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Comparative effectiveness; Model selection; Observational studies; Propensity score

Indexed keywords

PATIENT TREATMENT;

ADAPTIVE LASSOS; CAUSAL INFERENCES; COMPARATIVE EFFECTIVENESS; COVARIATES; MODEL SELECTION; OBSERVATIONAL STUDY; PROPENSITY SCORE; STATISTICAL EFFICIENCY; UNBIASED ESTIMATION; VARIABLES SELECTIONS;

EFFICIENCY;

COMPARATIVE STUDY; DATA SET; NUMERICAL MODEL; PRECISION; SIMULATION;

NARCOTIC ANALGESIC AGENT;

BIOMETRY; CHRONIC PAIN; COMPUTER SIMULATION; HUMAN; OUTCOME ASSESSMENT; PROPENSITY SCORE; STATISTICAL BIAS; STATISTICAL MODEL;

ANALGESICS, OPIOID; BIAS; BIOMETRY; CHRONIC PAIN; COMPUTER SIMULATION; HUMANS; MODELS, STATISTICAL; OUTCOME ASSESSMENT (HEALTH CARE); PROPENSITY SCORE;

EID: 85014657421     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12679     Document Type: Article

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