Course: BIOSTAT 208: Biostatistical Methods for Clinical Research II (Winter 2021)

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Biostatistical Methods II (Click for Course Description) BIOSTAT 208 Winter 2021 (3 units). Course Director: Steve Shiboski, PhD Professor, Department of Epidemiology and Biostatistics

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Select section Tuesday, January 5, 2021; 10:30 AM – 12:00 PM

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Tuesday, January 5, 2021; 10:30 AM – 12:00 PM
Lecture: Overview & Intro. to Linear Regression

Overview of regression; linear regression intro.

Faculty: Steve Shiboski

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Select section Thursday, January 7, 2021; 10:30 AM – 12:30 PM

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Thursday, January 7, 2021; 10:30 AM – 12:30 PM
Computer Lab: Introduction

Faculty: Steve Shiboski, Li Zhang, Caitlin Turner, Janet Chu

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Select section Tuesday, January 12, 2021; 10:30 AM – 12:00 PM

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Tuesday, January 12, 2021; 10:30 AM – 12:00 PM
Lecture: Linear Regression for Multiple Predictors

Linear regression with categorical and/or continuous predictors

Faculty: Steve Shiboski

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Select section Thursday, January 14, 2021; 10:30 AM – 12:30 PM

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Thursday, January 14, 2021; 10:30 AM – 12:30 PM
Computer Lab: Linear Regression for Multiple Predictors

Faculty: Steve Shiboski, Li Zhang, Caitlin Turner, Janet Chu

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Select section Tuesday, January 19, 2021; 10:30 AM – 12:00 PM

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Tuesday, January 19, 2021; 10:30 AM – 12:00 PM
Lecture: Categorical Predictors

F test, tests for trend, introduction to confounding adjustment in multi predictor models
Faculty: Steve Shiboski

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Select section Thursday, January 21, 2021; 10:30 AM – 12:30 PM

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Thursday, January 21, 2021; 10:30 AM – 12:30 PM
Computer Lab: Categorical Predictors

Faculty: Steve Shiboski, Li Zhang, Caitlin Turner, Janet Chu

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Select section Tuesday, January 26, 2021; 10:30 AM – 12:00 PM

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Tuesday, January 26, 2021; 10:30 AM – 12:00 PM
Lecture: Confounding and Mediation

Confounding, mediation and causal inference

Faculty: Steve Shiboski

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  Optional Reading: Review lectures on confounding and stratified analysis from the Epidemiologic Methods course (Epi 203 -slides available on course web site)
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Select section Tuesday, January 26, 2021; 12:00 PM – 12:50 PM

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Tuesday, January 26, 2021; 12:00 PM – 12:50 PM
Homework Sessions

Faculty: Steve Shiboski

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Select section Thursday, January 28, 2021; 10:30 AM – 12:30 PM

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Thursday, January 28, 2021; 10:30 AM – 12:30 PM
Computer Lab: Confounding and Mediation

Faculty: Steve Shiboski, Li Zhang, Caitlin Turner, Janet Chu

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Select section Tuesday, February 2, 2021; 10:30 AM – 12:00 PM

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Tuesday, February 2, 2021; 10:30 AM – 12:00 PM
Lecture: Interaction
Conceptual introduction, product terms, testing for interactions, lincom statements

Faculty: Steve Shiboski

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Select section Thursday, February 4, 2021; 10:30 AM – 12:30 PM

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Thursday, February 4, 2021; 10:30 AM – 12:30 PM
Computer Lab: Interaction

Faculty: Steve Shiboski, Li Zhang, Caitlin Turner, Janet Chu

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Select section Tuesday, February 9, 2021; 10:30 AM – 12:00 PM

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Tuesday, February 9, 2021; 10:30 AM – 12:00 PM
Lecture: Model Diagnostics
Linearity, normality, constant variance; influential points

Faculty: Steve Shiboski

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Select section Tuesday, February 9, 2021 12:00 PM – 12:50 PM

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Tuesday, February 9, 2021 12:00 PM – 12:50 PM

Homework Sessions

Faculty: Steve Shiboski

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Select section Thursday, February 11, 2021; 10:30 AM – 12:30 PM

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Thursday, February 11, 2021; 10:30 AM – 12:30 PM
Computer Lab: Model Diagnostics
Causal diagrams, three inferential goals; number of predictors, colinearity

Faculty: Steve Shiboski, Li Zhang, Caitlin Turner, Janet Chu

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Select section Tuesday, February 16, 2021; 10:30 AM – 12:00 PM

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Tuesday, February 16, 2021; 10:30 AM – 12:00 PM
Lecture: Predictor Selection

Causal diagrams, three inferential goals; number of predictors, collinearity
Faculty: Steve Shiboski

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Select section Thursday, February 18, 2021; 10:30 AM – 12:30 PM

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Thursday, February 18, 2021; 10:30 AM – 12:30 PM
Computer Lab: Predictor Selection

Faculty: Steve Shiboski, Li Zhang, Caitlin Turner, Janet Chu

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Select section Tuesday, February 23, 2021; 10:30 AM – 12:00 PM

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Tuesday, February 23, 2021; 10:30 AM – 12:00 PM
Lecture: Binary Outcome Data

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

Faculty: Steve Shiboski

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Select section Tuesday, February 23, 2021; 12:00 PM – 12:50 PM

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Tuesday, February 23, 2021; 12:00 PM – 12:50 PM
Homework Session

Faculty: Steve Shiboski

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Select section Thursday, February 25, 2021; 10:30 AM – 12:30 PM

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Thursday, February 25, 2021; 10:30 AM – 12:30 PM
Computer Lab: Binary Outcome Data

Faculty: Steve Shiboski, Li Zhang, Caitlin Turner, Janet Chu

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Select section Tuesday, March 2, 2021; 10:30 AM – 12:00 PM

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Tuesday, March 2, 2021; 10:30 AM – 12:00 PM
Lecture: Multiple Logistic Regression

Multiple logistic regression; confounding; interaction

Faculty: Steve Shiboski

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Select section Thursday, March 4, 2021; 10:30 AM – 12:30 PM

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Thursday, March 4, 2021; 10:30 AM – 12:30 PM
Computer Lab: Multiple Logistic Regression

Faculty: Steve Shiboski, Li Zhang, Caitlin Turner, Janet Chu

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Select section Tuesday, March 9, 2021; 10:30 AM – 12:00 PM

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Tuesday, March 9, 2021; 10:30 AM – 12:00 PM
Lecture: Logistic Model Diagnostics, Prediction & Alternate Binary Regression Models

Prediction; model assessment; outliers; goodness of fit; alternate binary regression models

Faculty: Steve Shiboski
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  Required Reading: VGSM Sections 5.2.5-5.2.6 & 5.4
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Select section Tuesday, March 9, 2021; 12:00 PM – 12:50 PM

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Tuesday, March 9, 2021; 12:00 PM – 12:50 PM

Homework Session

Faculty: Steve Shiboski

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Meeting ID: 955 6410 5712

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Select section Thursday, March 11, 2021; 10:30 AM – 12:30 PM

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Thursday, March 11, 2021; 10:30 AM – 12:30 PM
Computer lab: Prediction and Model Diagnostics

Faculty: Steve Shiboski, Li Zhang, Caitlin Turner, Janet Chu

Location: zoom only
- Select activity Assignment: Optional narrative description
  
  Assignment: Optional narrative description
- Select activity Lab 10
  
  Lab 10 File
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  Assignment Answer Key (Access restricted to registered students):
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  Datasets:
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  lab10.dta File
Select section Tuesday, March 16, 2021; 10:30 AM – 12:00 PM

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Tuesday, March 16, 2021; 10:30 AM – 12:00 PM
Lecture: Pooled Logistic Regression, Case Control Studies

Case-control study; conditional logistic regression; pooled logistic regression

Faculty: Steve Shiboski

Location (Access restricted to registered students): Zoom URL
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  Session Slides:
- Select activity lecture 11
  
  lecture 11 File
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  Session Audio/Video Recording (Access restricted to registered students):
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  Lecture 11 - part 1 Media Resource
  
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  Lecture 11 - part 2 Media Resource
  
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  Lecture 11 - review Media Resource
  
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  Lecture 11 2020 - part 1 File
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  Lecture 11 2020 - part 2 File
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  Required Reading: VGSM Sections 5.3 & 5.5
Select section Thursday, March 18, 2021; 10:30 AM – 12:30 PM

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Thursday, March 18, 2021; 10:30 AM – 12:30 PM
Computer Lab: Case Control Studies

Faculty: Steve Shiboski, Caitlin Turner, Janet Chu

Location (Access restricted to registered students): Zoom URL
- Select activity Assignment: Note: the lab assignment will be poste...
  
  Assignment: Note: the lab assignment will be posted this week, but attendance is optional
- Select activity Lab 11
  
  Lab 11 File
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  Assignment Answer Key (Access restricted to registered students):
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  Datasets:
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  esoph.dta File
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  endom.dta File

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July 2026

Section outline

Tuesday, February 9, 2021 12:00 PM – 12:50 PM

Tuesday, March 9, 2021; 12:00 PM – 12:50 PM