PUBHBIO 7225 Lecture Slides

Lecture Slides, Autumn 2025

• Lecture 1: Course Intro: Vocabulary of Sampling
• Lecture 2: Survey Modes and the Total Survey Error Framework
• Lecture 3: Sampling Distributions
• Lecture 4: Simple Random Sampling
• Lecture 5: Simple Random Sampling: Software (Stata, R)
• Lecture 6: Stratified Sampling
• Lecture 7: Stratified Sampling: Allocation Methods
• Lecture 8: Stratified Sampling: Software (Stata, R)
• Lecture 9: Stratified Sampling: Sample Size and DEFF
• Lecture 10: Poststratification
• Lecture 11: Cluster Sampling: Intro and One-Stage
• Lecture 12: Cluster Sampling: One-stage with Unequal Size Clusters
• Lecture 13: Two-stage Cluster Sampling
• Lecture 14: Probability Proportional to Size Sampling
• Lecture 15: Complex Designs
• Lecture 16: Domain Estimation
• Lecture 17: Nonresponse: Intro to Missing Data
• Lecture 18: Weighting Adjustments for Nonresponse in Surveys
• Lecture 19: Imputation for Nonresponse in Surveys
• Lecture 20: Linear Regression with Survey Data
• Lecture 21: Logistic/Log-Binomial Regression with Survey Data
• Lecture 22: Graphing Survey Data

Miscellaneous Handouts, Autumn 2025

• Probability Review
• Derivation: SRS variance of the mean
• Derivation: Neyman Allocation
• Derivation: One-stage cluster sampling DEFF
• Derivation: Two-stage cluster sampling variance