JOURNAL ARTICLE
Nonignorable dropout models for longitudinal binary data with random effects: An application of Monte Carlo approximation through the Gibbs output
Jennifer ChanDoris Y. P. LeungS. T. Boris ChoyWai Yin Wan
Year: 2009 Journal: Computational Statistics & Data Analysis Vol: 53 (12)Pages: 4530-4545 Publisher: Elsevier BV
Keywords:
Dropout (neural networks) Monte Carlo method Binary number Random effects model Statistical physics Mathematics Gibbs sampling Longitudinal data Statistics Econometrics Computer science Physics Machine learning Medicine Data mining Bayesian probability
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Citation History
Topics
Statistical Methods and Bayesian Inference
Physical Sciences → Mathematics → Statistics and Probability
Statistical Methods in Clinical Trials
Physical Sciences → Mathematics → Statistics and Probability
Economic and Environmental Valuation
Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics
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