Structural nested mean models for assessing time-varying effect moderation

Biometrics

Volumn 66, Issue 1, 2010, Pages 131-139

  Almirall, Daniel ^a,b   Ten Have, Thomas ^c   Murphy, Susan A ^d  

^a DURHAM VA MEDICAL CENTER   (United States)

^b DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Bias variance trade off; Causal inference; Effect modification; Estimating equations; G estimation; Time varying covariates; Time varying treatment; Two stage estimation

Indexed keywords

BIAS VARIANCE TRADE OFF; CAUSAL INFERENCES; COVARIATES; EFFECT MODIFICATIONS; ESTIMATING EQUATIONS; G-ESTIMATION; TIME VARYING; TIME-VARYING COVARIATE; TIME-VARYING TREATMENT; TWO-STAGE ESTIMATIONS;

ECONOMIC AND SOCIAL EFFECTS;

COVARIANCE ANALYSIS; DATA ACQUISITION; DISEASE TREATMENT; ESTIMATION METHOD; NUMERICAL MODEL; POPULATION MODELING; POPULATION STRUCTURE; REGRESSION ANALYSIS; SOCIAL HISTORY; TIME DEPENDENT BEHAVIOR; TRADE-OFF;

ALGORITHM; BIOMETRY; COMPUTER SIMULATION; DEPRESSION; HUMAN; INCIDENCE; OUTCOME ASSESSMENT; PROCEDURES; STATISTICAL ANALYSIS; STATISTICAL MODEL; TIME;

ALGORITHMS; BIOMETRY; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DEPRESSION; HUMANS; INCIDENCE; MODELS, STATISTICAL; OUTCOME ASSESSMENT (HEALTH CARE); TIME FACTORS;

EID: 77949721579     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01238.x     Document Type: Article

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