A Bayesian Shrinkage Model for Incomplete Longitudinal Binary Data With Application to the Breast Cancer Prevention Trial - Wang, C.; Daniels, M. J.; Scharfstein, D. O.; Land, S. (Journal of the American Statistical Association, 2010)
Keywords: Applications; Applications and Case Studies; Bayesian analysis; Bayesian method; Binary data; Biometrics; Breast cancer; Cancer; Clinical trials; Disease prevention; Distribution; Distribution theory; Exact sciences and technology; Experimentation; General topics; Inference; Linear inference, regression; Longitudinal studies; Mathematics; Medicine; Methodology; Missing data; Modeling; Parametric models; Placebos; Probability and statistics; Probability theory and stochastic processes; Sample size; Sciences and techniques of general use; Statistical inference; Statistics; Bayes estimation; Ridge regression; Breast disease; Prior distribution; Shrinkage estimator; Binary data; Statistical estimation; Breast cancer; Parametric model; Statistical simulation; Functional; Parametric method; Statistical method; Prevention; Statistical regression; Missing data; Informative drop-out; Distribution function; Observation data; Prior elicitation; Exponential model; Incomplete information; Intermittent missingness