Taylor and Francis Ltd.;Abingdon: Taylor & Francis
摘要:
摘要： We propose a new iterative algorithm, called model walking algorithm, to the Bayesian model averaging method on the longitudinal regression models with AR(1) random errors within subjects. The Markov chain Monte Carlo method together with the model walking algorithm are employed. The proposed method is successfully applied to predict the progression rates on a myopia intervention trial in children. 出版者： Abingdon: Taylor & Francis 出版日期： 2015-05-24 出處： Journal of statistical computation and simulation, 2015-05, Vol.85 (8), p.1667-1678 版權： 2014 Taylor & Francis 2014 版權： Copyright Taylor & Francis Ltd. 2015 識別號： ISSN: 0094-9655 識別號： EISSN: 1563-5163 識別號： DOI: 10.1080/00949655.2014.891205
