Utilizing propensity scores to estimate causal treatment effects with censored time-lagged data

Biometrics

Volumn 57, Issue 4, 2001, Pages 1207-1218

  Anstrom, Kevin J ^a   Tsiatis, Anastasios A ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Censoring; Confounding; Inverse weighting; Kaplan Meier; Observational study; Propensity score; Survival analysis

Indexed keywords

PATIENT TREATMENT; PROBABILITY DISTRIBUTIONS;

CENSORED TIME; CENSORING; CONFOUNDING; INVERSE WEIGHTING; KAPLAN-MEIER; LONG-TERM EFFECTS; OBSERVATIONAL STUDY; PROPENSITY SCORE; SURVIVAL ANALYSIS; TREATMENT EFFECTS;

INVERSE PROBLEMS;

BIOMETRY; EPIDEMIOLOGY; SURVIVAL;

ADULT; AGED; ARTICLE; COST OF ILLNESS; COVARIANCE; HEART MUSCLE ISCHEMIA; HUMAN; PROBABILITY; SIMULATION; STATISTICAL MODEL; STATISTICS; TREATMENT OUTCOME; VARIANCE;

EID: 0035186697     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2001.01207.x     Document Type: Article

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