Prediction of individual long-term outcomes in smoking cessation trials using frailty models

Biometrics

Volumn 67, Issue 4, 2011, Pages 1321-1329

  Li, Yimei ^a   Wileyto, E Paul ^a   Heitjan, Daniel F ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Bayesian inference; Frailty model; Importance sampling; Prediction; ROC curves; Smoking cessation

Indexed keywords

BAYESIAN NETWORKS; IMPORTANCE SAMPLING; INFERENCE ENGINES;

BAYESIAN INFERENCE; BAYESIAN METHODS; CLINICAL OBSERVATION; CLINICAL TRIAL; FRAILTY MODELS; LONG-TERM OUTCOME; PREDICTION-BASED; ROC CURVES; SMOKING CESSATIONS; UNCERTAINTY;

FORECASTING;

ALGORITHM; BAYESIAN ANALYSIS; DATA SET; DISEASE TREATMENT; EMPIRICAL ANALYSIS; NUMERICAL MODEL; OBSERVATIONAL METHOD; PREDICTION; SMOKING; UNCERTAINTY ANALYSIS;

EID: 80053602897     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2011.01578.x     Document Type: Article

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