BIOSTATISTICS: MODELING AND INFERENCE

建议的研究涉及五个不同的主题：（i） 树结构，递归分割方法来分析删失 来自临床试验或实验室实验的生存数据;（ii） 聚合马尔可夫模型（在神经生理学），这是至关重要的 乙酰胆碱受体的理解;（三）应用 多变量的方法来了解眼微循环， 糖尿病的早期诊断;（iv）有误差的二元回归， 变量及其在评估烧伤护理设施中的应用;（v） 大剂量腔内化疗的药代动力学模型 因为它是在加州大学圣地亚哥癌症中心管理的。

The research proposed involves five different topics (i) the extension of tree-structured, recursive partitioning methods to the analysis of censored survival data from clinical trials or laboratory experiments; (ii) aggregated Markov models (in neurophysiology) that are crucial to the understanding of the acetylcholine receptor; (iii) the application of multivariate methods to the understanding of ocular micro-circulation and the early diagnosis of diabetes; (iv) binary regression with errors in variables and its use in evaluating burn care facilities; (v) estimation in pharmacokinetic models which arise in high dose intracavitary chemotherapy as it is administered at the UC San Diego Cancer Center.