Empirical Bayes Estimation of Rates in Longitudinal Studies
针对流行病学研究中随访间隔不规则的问题，提出用经验贝叶斯方法估计个体变化率，并给出女性随年龄骨密度流失的实例。
Abstract The usually irregular follow-up intervals in epidemiologic studies preclude the use of classical growth curve analysis. For short follow-up intervals, it is suggested that individual rates of change are useful for exploratory analysis. Empirical Bayes estimates of these rates of change are recommended and developed. An example of bone loss with age in women is also given.