17. Poststratification and missing-data imputation

17.1 Poststratification: using regression to generalize to a new population

17.2 Fake-data simulation for regression and poststratification

17.3 Models for missingness

17.4 Simple approaches for handling missing data

17.5 Understanding multiple imputation

17.6 Nonignorable missing-data models

17.7 Bibliographic note

17.8 Exercises