Section outline

  • Lecture: Introduction
    Review of regression; major model questions, properties of a good regression model.

    Faculty:  David Glidden
    Location:
      Mission Hall 1407

    • Prospectus:

    • Session Slides:

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

    • Watch URL
      Not available unless: You belong to a group in Registered Students Only
    • Assignment:

    • Assignment Due Date:  Due October 2, 2018. Drop off at TA mailbox at Mission Hall 2nd Floor, photocopy room near conference room 2600

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

  • Lecture: Functional Form
    Splines, smoothing, categorizing continuous predictors

    Faculty:  David Glidden

    Location:  Mission Hall 1407

    • Session Slides:

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

    • Watch URL
      Not available unless: You belong to a group in Registered Students Only
    • Required Reading:

    • Greenland1995 File
      Not available unless: You belong to Registered Students Only
    • altman File
      Not available unless: You belong to Registered Students Only
    • Stata Files:

  • Lecture: Repeated Measures Data
    Mixed models, generalized estimating eqns

    Faculty:  David Glidden

    Location:  Mission Hall 1407

    • Session Slides:

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

    • Watch URL
      Not available unless: You belong to a group in Registered Students Only
    • Required Reading:

      Vittinghoff, Chapter 7

    • Assignment:

    • Assignment Due Date:  October 16, 2018  by 10:30am. Drop off at TA mailbox at Mission Hall 2nd Floor by photocopy room near conference room 2600

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

    • Stata Files:

  • Computer Lab

    Faculty:  David Glidden

    Location: 
    Mission Hall 1407

    • Assignment:  Lab#1

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

    • Datasets:

  • Lecture: Missing Values
    Types of missing data, MCAR/MAR/NAR, maximum likelihood

    Faculty:  David Glidden

    Location:  Mission Hall 1407

    • Session Slides:

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

    • Watch URL
      Not available unless: You belong to a group in Registered Students Only
    • Required Reading:

      Vittinghoff, CH 11.1-11.4, 11.6

  • Lecture: Multiple Imputation
    Choice of imputation model, mi package

    Faculty: David Glidden

    Location: Mission Hall 1407

    • Session Slides:

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

    • Watch URL
      Not available unless: You belong to a group in Registered Students Only
    • Required Reading:

      Vittinghoff, Chapter 11.5, 11.7-11.8

    • Assignment: Homework #3

    •  Due October 30,  2018. Drop off at TA mailbox at Mission Hall 2nd Floor,  by photocopy room near conference room 2600

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

  • Computer Lab

    Faculty:  David Glidden
    Location: 
    Mission Hall 1407

    • Assignment:

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

  • Lecture: Missing Data

    Multiple imputation, maximum likelihood, inverse weighting
    Faculty: David Glidden

    Location: Mission Hall 1407

    • Session Slides:

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

    • Watch URL
      Not available unless: You belong to a group in Registered Students Only
    • Required Reading: 

      Vittinghoff, Chapter 11.9

  • Lecture: Causal Inference
    Strengthening causal inference using regression

    Faculty:  David Glidden

    Location
    :  Mission Hall 1407

    • Session Slides:

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

    • Watch URL
      Not available unless: You belong to a group in Registered Students Only
    • Required Reading:

      Vittinghoff, Chapter 9.1-9.2

    • Assignment: Homework #4

    • Due November 13,  2018 by 10:30am. Drop off at TA mailbox at Mission Hall 2nd Floor by photocopy room near conference room 2600

  • Lecture: Propensity Scores
    Propensity scores for causal inference and contrast with regression models.

    Faculty: David Glidden

    Location: Mission Hall 1407

    • Session Slides:

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

    • Watch URL
      Not available unless: You belong to a group in Registered Students Only
    • Required Reading:

      Vittinghoff, Chapter 9.4

    • Stata Files:

  • Computer Lab

    Faculty:  David Glidden

    Location: 
    Mission Hall 1407

    • Assignment: Optional narrative description

    • Assignment Answer Key 

  • Lecture: Predictive Models
    Building Models for Prediction

    Faculty: David Glidden

    Location: Mission Hall 1407

    • Session Slides:

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

    • Watch URL
      Not available unless: You belong to a group in Registered Students Only
    • Required Reading:

      Vittinghoff, Chapter 10.1

    • Assignment: Homework #5

    • Due December 4,  2018 by 10:30am. Drop off at TA mailbox at Mission Hall 2nd Floor by  photocopy room near conference room 2600

    • Assignment Answer Key

    • Datasets:

  • Lecture: Model validation

    Assessing for prediction.

    Faculty: David Glidden

    Location: Mission Hall 1407

    • Session Slides:

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

    • Watch URL
      Not available unless: You belong to a group in Registered Students Only
    • Required Reading:

    • Steyerberg File
      Not available unless: Your ID number contains 02
    • Stata Files:

  • Computer Lab

    Faculty:  David Glidden

    Location:  Mission Hall 1407

    • Assignment: Optional narrative description

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