Section outline

  • Lecture: Overview & Intro. to Linear Regression

    Overview of regression; linear regression intro.

    Faculty:  Steve Shiboski

    Location:
    Mission Hall 1400

    • Prospectus:

    • Session Slides:

    • Session Audio/Video Recording (Access restricted to registered students):

    • Watch URL
    • Required Reading: Chap. 3, Section 3.3 & Section 3.6, VGSM

    • Assignment: Homework #1

    • Assignment Due Date:  1/29/19 by 10:30 AM

    • Assignment Answer Key (Access restricted to registered students):

    • Datasets:

  • Computer Lab: Introduction

    Faculty:  Steve Shiboski, Li Zhang

    Location: 
    Mission Hall 2106

    • Assignment: Optional narrative description

    • Assignment Answer Key (Access restricted to registered students):

    • Datasets:

    • Stata Files:

  • Lecture: Linear Regression for Multiple Predictors

    Linear regression with categorical and/or continuous predictors

    Faculty:  Steve Shiboski

    Location:  
    Mission Hall 1400

    • Session Slides:

    • Session Audio/Video Recording (Access restricted to registered students):

    • Watch URL
    • Required Reading:  Sections 4.1-4.2, VGSM 

  • Computer Lab: Linear Regression for Multiple Predictors

    Faculty:  Steve Shiboski, Li Zhang

    Location: 
    Mission Hall 2106

    • Assignment: Optional narrative description

    • Assignment Answer Key (Access restricted to registered students):

    • Datasets:

  • Lecture: Categorical Predictors

    F test, tests for trend, introduction to confounding adjustment in multi predictor models

    Faculty:  Steve Shiboski

    Location:  
    Mission Hall 1400

    • Session Slides:

    • Session Audio/Video Recording (Access restricted to registered students):

    • Watch URL
    • Required Reading:  Section 4.3 & 4.7.5, VGSM

  • Computer Lab: Categorical Predictors

    Faculty:  Steve Shiboski, Li Zhang

    Location:  Mission Hall 2106

    • Assignment: Optional narrative description

    • Assignment Answer Key (Access restricted to registered students):

    • Datasets:

    • Stata Files:

  • Lecture: Confounding and Mediation

    Confounding, mediation and causal inference

    Faculty: Steve Shiboski

    Location: Mission Hall 1400

    • Session Slides:

    • Session Audio/Video Recording (Access restricted to registered students):

    • Watch URL
    • Required Reading: Sections 4.4-4.5, VGSM

    • Optional Reading: Review lectures on confounding and stratified analysis from the Epidemiologic Methods course (Epi 203 -slides available on course web site for dates 11/12/13, 11/19/13 & 11/26/13)

    • Assignment: Homework #2

    • Assignment Due Date:  2/12/19 by 10:30 AM

    • Assignment Answer Key (Access restricted to registered students):

    • Datasets:

  • Homework Sessions

    Faculty:  Steve Shiboski

    Location:  
    Mission Hall 1401/1402

  • Computer Lab: Confounding and Mediation

    Faculty:  Steve Shiboski, Li Zhang

    Location:  Mission Hall 1400

    • Assignment: Optional narrative description

    • Assignment Answer Key (Access restricted to registered students):

    • Datasets:

    • Stata Files:

  • Lecture: Interaction

    Conceptual introduction, product terms, testing for interactions, lincom statements

    Faculty:  Steve Shiboski

    Location:  
    Mission Hall 1400

    • Session Slides:

    • Session Audio/Video Recording (Access restricted to registered students):

    • Watch URL
    • Required Reading: Sections 4.6, VGSM

  • Computer Lab: Interaction

    Faculty:  Steve Shiboski, Li Zhang

    Location:  Mission Hall 2106

    • Assignment: Optional narrative description

    • Assignment Answer Key (Access restricted to registered students):

    • Datasets:

  • Lecture: Model Diagnostics

    Linearity, normality, constant variance; influential points

    Faculty:  Steve Shiboski

    Location:  
    Mission Hall 1400

    • Session Slides:

    • Session Audio/Video Recording (Access restricted to registered students):

    • Watch URL
    • Assignment: Homework #3

    • Assignment Answer Key (Access restricted to registered students):

    • Assignment Due Date:  2/26/19 by 10:30 AM

    • Tool Files:

  • Homework Sessions

    Faculty:  Steve Shiboski

    Location:  
    Mission Hall 1401/1402

  • Computer Lab: Model Diagnostics
    Causal diagrams, three inferential goals; number of predictors, colinearity

    Faculty:  Steve Shiboski, Li Zhang

    Location:  Mission Hall 2106

    • Assignment: Optional narrative description

    • Assignment Answer Key (Access restricted to registered students):

    • Datasets:

  • Lecture: Predictor Selection

    Causal diagrams, three inferential goals; number of predictors, collinearity

    Faculty: Steve Shiboski

    Location:  Mission Hall 1400

    • Session Slides:

    • Session Audio/Video Recording (Access restricted to registered students):

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    • Required Reading: VGSM - Chapter 10

  • Computer Lab: Predictor Selection

    Faculty:  Steve Shiboski, Li Zhang

    Location:  Mission Hall 2106

  • Lecture: Binary Outcome Data

    Contingency tables; binary outcomes; measures of association; logistic model

    Faculty:  Steve Shiboski

    Location: 
    Mission Hall 1400

    • Session Slides:

    • Session Audio/Video Recording (Access restricted to registered students):

    • Watch URL
    • Required Reading: VGSM Section 3.4 and Section 5.1

    • Assignment: Homework #4

    • Assignment Due Date:  3/12/19 by 10:30 AM

    • Assignment Answer Key (Access restricted to registered students):

    • Stata Files:

  • Homework Session

    Faculty:  Steve Shiboski

    Location:  
    Mission Hall 1401/1402

  • Computer Lab: Binary Outcome Data

    Faculty:  Steve Shiboski, Li Zhang

    Location:  Mission Hall 2106

    • Assignment: Optional narrative description

    • Assignment Answer Key (Access restricted to registered students):

    • Datasets:

    • Stata Files:

  • Lecture: Multiple Logistic Regression

    Multiple logistic regression; confounding; interaction

    Faculty:  Steve Shiboski

    Location: 
    Mission Hall 1400

    • Session Slides:

    • Session Audio/Video Recording (Access restricted to registered students):

    • Watch URL
    • Required Reading: VGSM Section 5.2 (intro. & sections 5.2.1-5.2.4)

  • Computer Lab: Multiple Logistic Regression

    Faculty:  Steve Shiboski, Li Zhang

    Location:  Mission Hall 2106

    • Assignment: Optional narrative description

    • Assignment Answer Key (Access restricted to registered students):

    • Datasets:

  • Lecture: Prediction and Model Diagnostics

    Prediction; model assessment; outliers; goodness of fit

    Faculty:  Steve Shiboski

    Location:  
    Mission Hall 1400

    • Session Slides:

    • Session Audio/Video Recording (Access restricted to registered students):

    • Watch URL
    • Required Reading: VGSM Sections 5.2.5-5.2.6 & 5.4

    • Assignment: Final Exam

    • Assignment Due Date:  3/22/19 by 5:00 PM

    • Datasets:

  • Homework Session 

    Faculty:  Steve Shiboski

    Location:  Mission Hall 1401/1402

  • Computer lab: Prediction and Model Diagnostics

    Faculty:  Steve Shiboski, Li Zhang

    Location:  Mission Hall 2106

    • Assignment: Optional narrative description

    • Assignment Answer Key (Access restricted to registered students):

    • Datasets:

  • Lecture: Case Control Studies, Alternate Models

    Case-control study; conditional logistic regression; alternate binary regression models

    Faculty: Steve Shiboski

    Location:  Mission Hall 1400

    • Session Slides:

    • Session Audio/Video Recording (Access restricted to registered students):

    • Watch URL
    • Required Reading: VGSM Sections 5.3 & 5.5

  • Computer Lab: Case Control Studies

    Faculty:  Steve Shiboski, Jessica Cohan, Sabine Mueller

    Location:  Mission Hall 2106

    • Assignment: Note: the lab assignment will be posted this week, but attendance is optional

    • Assignment Answer Key (Access restricted to registered students):

    • Datasets: