A Bayesian proportional hazards regression model with non-ignorably missing time-varying covariates

Statistics in Medicine

Volumn 29, Issue 29, 2010, Pages 3017-3029

  Bradshaw, Patrick T ^a   Ibrahim, Joseph G ^a   Gammon, Marilie D ^a  

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

Author keywords

Missing covariates; Non ignorably missing data; Proportional hazards regression; Selection model

Indexed keywords

ARTICLE; BAYES THEOREM; BREAST CANCER; CANCER DIAGNOSIS; CANCER SURVIVAL; COVARIANCE; FOLLOW UP; MATHEMATICAL COMPUTING; OBSERVATIONAL STUDY; PROPORTIONAL HAZARDS MODEL; PUBLISHING; SENSITIVITY ANALYSIS; WEIGHT CHANGE; WEIGHT GAIN;

AGE FACTORS; ALGORITHMS; BAYES THEOREM; BODY WEIGHT; BREAST NEOPLASMS; FEMALE; HUMANS; LINEAR MODELS; LOGISTIC MODELS; MORTALITY; PROPORTIONAL HAZARDS MODELS; QUESTIONNAIRES; REGRESSION ANALYSIS; SURVIVAL RATE;

EID: 78649656324     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4076     Document Type: Article

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