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ham  

Healthcare Analysis Methods
View on CRAN: Click here


Download and install ham package within the R console
Install from CRAN:
install.packages("ham")

Install from Github:
library("remotes")
install_github("cran/ham")

Install by package version:
library("remotes")
install_version("ham", "1.1.0")



Attach the package and use:
library("ham")
Maintained by
Stephen Zuniga
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-08-28
Latest Update: 2025-08-28
Description:
Conducts analyses for healthcare program evaluations or intervention studies. Calculates regression analyses for standard ordinary least squares (OLS or linear) or logistic models. Performs regression models used for causal modeling such as differences-in-differences (DID) and interrupted time series (ITS) models. Provides limited interpretations of model results and a ranking of variable importance in models. Performs propensity score models, top-coding of model outcome variables, and can return new data with the newly formed variables. Also performs Cronbach's alpha for various scale items (e.g., survey questions). See Github URL for examples in the README file. For more details on the statistical methods, see Allen & Yen (1979, ISBN:0-8185-0283-5), Angrist & Pischke (2009, ISBN:9780691120355), Harrell (2016, ISBN:978-3-319-19424-0), Kline (1999, ISBN:9780415211581), and Linden (2015) <doi:10.1177/1536867X1501500208>.
How to cite:
Stephen Zuniga (2025). ham: Healthcare Analysis Methods. R package version 1.1.0, https://cran.r-project.org/web/packages/ham. Accessed 13 Mar. 2026.
Previous versions and publish date:
1.0.0 (2025-08-28 10:50)
Other packages that cited ham R package
View ham citation profile
Other R packages that ham depends, imports, suggests or enhances
Complete documentation for ham
Functions, R codes and Examples using the ham R package
Full ham package functions and examples
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