111年第1學期-1590 類別資料分析 課程資訊

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評分方式

評分項目 配分比例 說明
Attendance 10
Quiz 1或homework 15
Quiz 2或homework 15
Midterm Exam 30

選課分析

本課程名額為 70人,已有35 人選讀,尚餘名額35人。

授課教師

黃愉閔

教育目標

As described in course description. But for computation, we will majorly use R or Splus software. We will discuss several case examples using SAS. 課程內涵 (Course Contents) Contingency tables Binomial and multinomial distributions Logistic regression: estimation and applcations Multi-Logit Model R and SAS examples for analyzing categorical data

課程概述

Objective: Introducing statistical models for categorical data used by statistical researchers and practitioners. Prerequisites:(a) Elementary Statistics(b).At least one of the following packages(SAS, R/Splus, or SPSS). Contents : 1.Statistical inference for Two-way and Three-way Contigency tables under different assumptions. 2.Logit/Loglinear models and their extensions. 3.Generalized linear models with random effects for categorical responses. 4.Models checking and selection. 5.Asymptotic results and other advanced topics. Sofewares: 1.SAS: PPRC FREQ, GENMOD, LOGISTIC, CATMOD, and NLMIXED. 2.S-PLUS or R: chisq.test, glm, fisher. test, gee, and glmmPQL. 3.SPSS: crosstabs, logistic, and plum.

課程資訊

參考書目

An introduction to categorical data analysis (Alan Agresti, second edition, 華泰代理)

Categorical Data Analysis, 3rd EditionAlan Agresti