BIOSTAT 208: Biostatistical Methods for Clinical Research II (Winter 2020)
Section outline
-
-
General Q&A Forum
-
Lecture: Overview & Intro. to Linear Regression
Overview of regression; linear regression intro.
Faculty: Steve Shiboski
Location: Mission Hall 1400-
Watch URL
-
Computer Lab: Introduction
Faculty: Steve Shiboski, Li Zhang
Location: Mission Hall 1400 -
Lecture: Linear Regression for Multiple Predictors
Linear regression with categorical and/or continuous predictors
Faculty: Steve Shiboski
Location: Mission Hall 1400-
Watch URL
-
Computer Lab: Linear Regression for Multiple Predictors
Faculty: Steve Shiboski, Li Zhang
Location: Mission Hall 1400 -
Lecture: Categorical Predictors
F test, tests for trend, introduction to confounding adjustment in multi predictor models
Faculty: Steve Shiboski
Location: Mission Hall 1400-
Watch URL
-
Computer Lab: Categorical Predictors
Faculty: Steve Shiboski, Li Zhang
Location: Mission Hall 1400
-
Lecture: Confounding and Mediation
Confounding, mediation and causal inference
Faculty: Steve Shiboski
Location: Mission Hall 1400
-
Watch URL
-
Homework Sessions
Faculty: Steve Shiboski
Location: Mission Hall 1401 -
Computer Lab: Confounding and Mediation
Faculty: Steve Shiboski, Li Zhang
Location: Mission Hall 1400
-
Lecture: Interaction
Conceptual introduction, product terms, testing for interactions, lincom statements
Faculty: Steve Shiboski
Location: Mission Hall 1400-
Watch URL
-
Computer Lab: Interaction
Faculty: Steve Shiboski, Li Zhang
Location: Mission Hall 1400
-
Lecture: Model Diagnostics
Linearity, normality, constant variance; influential points
Faculty: Steve Shiboski
Location: Mission Hall 1400-
Watch URL
-
Homework Sessions
Faculty: Steve Shiboski
Location: Mission Hall 1401 -
Computer Lab: Model Diagnostics
Causal diagrams, three inferential goals; number of predictors, colinearityFaculty: Steve Shiboski, Li Zhang
Location: Mission Hall 1400
-
Lecture: Predictor Selection
Causal diagrams, three inferential goals; number of predictors, collinearity
Faculty: Steve Shiboski
Location: Mission Hall 1400
-
Watch URL
-
Computer Lab: Predictor Selection
Faculty: Steve Shiboski, Li Zhang
Location: Mission Hall 1400
-
Lecture: Binary Outcome Data
Contingency tables; binary outcomes; measures of association; logistic model
Faculty: Steve Shiboski
Location: Mission Hall 1400-
Watch URL
-
Homework Session
Faculty: Steve Shiboski
Location: Mission Hall 1407 -
Computer Lab: Binary Outcome Data
Faculty: Steve Shiboski, Li Zhang
Location: Mission Hall 1400
-
Lecture: Multiple Logistic Regression
Multiple logistic regression; confounding; interactionFaculty: Steve Shiboski
Location: Mission Hall 1400-
Watch URL
-
Computer Lab: Multiple Logistic Regression
Faculty: Steve Shiboski, Li Zhang
Location: Mission Hall 1400
-
Lecture: Logistic Model Diagnostics, Prediction & Alternate Binary Regression Models
Prediction; model assessment; outliers; goodness of fit; alternate binary regression modelsFaculty: Steve Shiboski
-
Lecture 10 part 1 File
-
Lecture 10 part 2 File
-
Homework Session
Faculty: Steve Shiboski
Location: Zoom only
Lab Zoom Link: https://ucsf.zoom.us/j/375730335 or +1 669 900 6833 (Meeting ID: 375 730 335)
-
Computer lab: Prediction and Model Diagnostics
Faculty: Steve Shiboski, Li Zhang
Location: zoom only
Lab Zoom Link: https://ucsf.zoom.us/j/349429015 or +1 669 900 6833 (Meeting ID: 349 429 015)
-
Lecture: Pooled Logistic Regression, Case Control Studies
Case-control study; conditional logistic regression; pooled logistic regression
Faculty: Steve Shiboski
Location: Zoom only
Zoom Link: https://ucsf.zoom.us/j/3497593837 or +1 669 900 6833 (Meeting ID: 349 759 3837)
-
Computer Lab: Case Control Studies
Faculty: Steve Shiboski
Location: Zoom only
Zoom Link: https://ucsf.zoom.us/j/3497593837 or +1 669 900 6833 (Meeting ID: 349 759 3837)
