STATISTICAL METHODS FOR CROSS-SECTIONAL SAMPLING DESIGNS

横截面抽样设计的统计方法

• 批准号: 3148780
• 负责人: Mei Cheng Wang
• 金额: $ 8.96万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-04-01 至 1996-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3148780
• 关键词: AIDS; communicable disease transmission; data collection methodology /evaluation; human data; human immunodeficiency virus; mathematical model; model design /development; statistics /biometry

The objective of this grant is to develop statistical methods and models useful for epidemiological studies with cross-sectional sampling designs. The proposed research is focused on (1) statistical analysis of prevalent cohort data in prospective studies, (2) statistical analysis of cross-sectional data in retrospective studies, and (3) development of stochastic epidemic models for the study of epidemiological theory and statistical inference. The major topics include nonparametric and semiparametric methods for a variety of statistical problems. In particular, statistical methods and theory for one-sample estimation, two-sample testing and regression procedures will be developed.

该补助金的目的是开发统计方法和模型 对横断面抽样设计的流行病学研究很有用。 本研究的重点是（1）流行病学的统计分析 前瞻性研究中的队列数据，（2） 回顾性研究中的横断面数据，以及（3）发展 用于流行病学理论研究的随机流行病模型 统计推断 主要内容包括非参数和半参数方法， 各种统计问题。 特别是统计方法和 单样本估计、双样本检验和回归理论 将制定程序。