生物統計

This course will cover statistical methods for design, conduct, and analysis of epidemiologic studies such as case-control and cohort studies. Topics include overview of designs for research studies; epidemiologic study design; rates and risk; measures of association; classical contingency table methods; logistic, polytomous logistic, proportional odds and Poisson regression; and proportional hazard regression. Examples from the literature and data from a number of well-known epidemiologic studies will be used for illustration of the concepts involved.

Students are expected to be familiar with basic epidemiologic concepts.

Class website: http://ghuang.stat.nctu.edu.tw/course/biostat21/ Google meet線上直播網址: https://meet.google.com/cso-mfvj-ukj

作業部份: There are four homework assignments. 考試部份: One midterm exam and one final exam. 評量部份: The course grade will be based on four homework assignments (40%), one midterm exam (25%), and one final exam (35%).

• Introduction and overview of goals of epidemiologic research and epidemiologic study designs
• Measures of disease occurrence and association
• Control of extraneous factors
• Nonparametric methods
• Multiple comparison procedures
• Logistic regression
• Confounding and interaction in logistic regression
• Logistic regression for contingency tables
• Logistic regression for case-control data and conditional logistic regression
• Analysis of polytomous data
• Poisson regression and log-linear model
• Analysis of survival data
• One-sample estimation for survival data
• Proportional hazards model
• Two-sample testing for survival data

Handouts corresponding to each lecture will be available on the class website before each class. There is no required textbook for this course. Following books are recommended for further reading: Nicholas P. Jewell (2003): Statistics for Epidemiology (Jewell) Breslow NE, Day NE (1980): Statistical Methods in Cancer Research, Vol. I (Breslow & Day I) Breslow NE, Day NE (1987): Statistical Methods in Cancer Research, Vol. II (Breslow & Day II) Hosmer DW, Lemeshow S (1989): Applied Logistic Regression (Hosmer & Lemeshow) McCullagh P, Nelder JA (1989): Generalized Linear Models, 2nd edition (McCullagh & Nelder) Klein, Moeschberger (2003). Survival Analysis: Techniques for Censored and Truncated Data, 2nd edition. (Klein & Moeschberger)

地點

423 Joint Education Hall

時間

By appointment

聯絡方式

Guan-Hua Huang, Ph.D. Office: 423 Joint Education Hall Phone: 03-513-1334 Email: ghuang@nycu.edu.tw