BIOSTATISTICS: MODELING AND INFERENCE

建议的研究涉及五个不同的主题：(I)扩展 树结构递归分割法在删失分析中的应用 来自临床试验或实验室实验的生存数据； 聚合马尔可夫模型(在神经生理学中)对 对乙酰胆碱受体的认识；(Iii)应用 多变量方法对眼部微循环和微循环的认识 糖尿病的早期诊断；(Iv)具有误差的二元回归 变量及其在评估烧伤护理设施中的应用；(V)估计 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实施的。

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.