53 avsnitt

The goals of this course are to introduce regression analysis for continuous and discrete data. Topics include simple and multiple linear regressions, inferences for regression coefficients, confounding and interaction, regression diagnostics, logistic regressions, Poisson regressions, and generalized linear models.

The course consists of lectures and laboratory sessions. The lectures are given on Tuesday 9:00-11:00. The lectures will primarily review and reinforce major issues. There is a laboratory session on Tuesday 11:10-12:00. The laboratory exercise will be distributed prior to each class, and students are expected to read each lab exercise at home. Each student will be assigned to a lab group and discuss the exercise with group members in the lab. At the end of the lab, there will be a seminar-type discussion. Each group is required to hand in a write-up of laboratory problems.

The course uses the R software for statistical computing. Students are expected to be familiar with the usage of the software.

迴歸分析 Regression Analysis National Chiao Tung University

    • Utbildning

The goals of this course are to introduce regression analysis for continuous and discrete data. Topics include simple and multiple linear regressions, inferences for regression coefficients, confounding and interaction, regression diagnostics, logistic regressions, Poisson regressions, and generalized linear models.

The course consists of lectures and laboratory sessions. The lectures are given on Tuesday 9:00-11:00. The lectures will primarily review and reinforce major issues. There is a laboratory session on Tuesday 11:10-12:00. The laboratory exercise will be distributed prior to each class, and students are expected to read each lab exercise at home. Each student will be assigned to a lab group and discuss the exercise with group members in the lab. At the end of the lab, there will be a seminar-type discussion. Each group is required to hand in a write-up of laboratory problems.

The course uses the R software for statistical computing. Students are expected to be familiar with the usage of the software.

    • video
    Introduction

    Introduction

    • 10 min
    • video
    Lecture 1-1: A review of basic statistical concepts

    Lecture 1-1: A review of basic statistical concepts

    • 57 min
    • video
    Lecture 1-2: Measures of association with emphasis on the difference of means

    Lecture 1-2: Measures of association with emphasis on the difference of means

    • 25 min
    • video
    Lecture 2: Basics of linear regression analysis

    Lecture 2: Basics of linear regression analysis

    • 2 tim. 2 min
    • video
    Lab 2 同學報告: 謝念廷 陳柏魁 許凱璋 席瑋辰 陶冠蘭 劉冠妤同學

    Lab 2 同學報告: 謝念廷 陳柏魁 許凱璋 席瑋辰 陶冠蘭 劉冠妤同學

    • 10 min
    • video
    Lecture 4: Correlation

    Lecture 4: Correlation

    • 1 tim. 4 min

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