Since the first confirmed US case of coronavirus disease 2019 (COVID-19), on January 21, 2020 (https://www.cdc.gov/media/releases/2020/p0121-novel-coronavirus-travel-case.html), the fifty states have imposed varying requirements limiting social interactions among their citizens. Can any of these restrictions be shown to be related to the progress of the disease process? By looking at the government responses to the pandemic on an equal basis, some idea of their relative effectiveness may be seen.

Describes a simple method to impute missing categorical data.

Analysis of a randomized study of treatment. Labs and physical signs analyzed for prognostic value. Features random imputation for missing values.

This post illustrates making causal inference from observational data. It also shows examples of random imputation.

This shows how random imputation may be a better imputation method than MICE.

This describes a simple method to impute missing data.