BIOSTAT 210: Biostatistical Methods for Clinical Research IV (Fall 2019)
Section outline
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Lecture: Introduction
Review of regression; major model questions, properties of a good regression model.Faculty: David Glidden
Location: Mission Hall 1407-
Watch URL
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hw1 solution File
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Lecture: Functional Form
Splines, smoothing, categorizing continuous predictorsFaculty: David Glidden
Location: Mission Hall 1407-
Watch URL
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Greenland1995 File
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altman File
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Lecture: Repeated Measures Data
Mixed models, generalized estimating eqnsFaculty: David Glidden
Location: Mission Hall 1407-
Watch URL
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hw2 soln File
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Lecture: Missing Values
Types of missing data, MCAR/MAR/NAR, maximum likelihoodFaculty: David Glidden
Location: Mission Hall 1407-
Watch URL
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Lecture: Multiple Imputation
Choice of imputation model, mi packageFaculty: David Glidden
Location: Mission Hall 1407-
Watch URL
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hw3 soln File
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Computer Lab
Faculty: David Glidden
Location: Unfortunately, there will be no in person lab on 10/15. Please complete on your own -
Lecture: Missing Data
Multiple imputation, maximum likelihood, inverse weightingFaculty: David Glidden
Location: Mission Hall 1407
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Watch URL
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Lecture: Causal Inference
Strengthening causal inference using regressionFaculty: David Glidden
Location: Mission Hall 1407-
Watch URL
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hw4 soln File
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Computer Lab
Faculty: David Glidden
Location: Mission Hall 1407
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Lecture: Propensity Scores
Propensity scores for causal inference and contrast with regression models.Faculty: David Glidden
Location: Mission Hall 1407-
Watch URL
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Lecture: Predictive Models
Building Models for PredictionFaculty: David Glidden
Location: Mission Hall 1407-
Watch URL
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Lecture: Model Validation
Assessing for PredictionFaculty: David Glidden
Location: Mission Hall 1407
