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osDesign  

Design, Planning and Analysis of Observational Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("osDesign", "1.8")



Attach the package and use:
library("osDesign")
Maintained by
Sebastien Haneuse
[Scholar Profile | Author Map]
First Published: 2011-07-25
Latest Update: 2020-11-15
Description:
A suite of functions for the design of case-control and two-phase studies, and the analysis of data that arise from them. Functions in this packages provides Monte Carlo based evaluation of operating characteristics such as powers for estimators of the components of a logistic regression model. For additional detail see: Haneuse S, Saegusa T and Lumley T (2011).
How to cite:
Sebastien Haneuse (2011). osDesign: Design, Planning and Analysis of Observational Studies. R package version 1.8, https://cran.r-project.org/web/packages/osDesign. Accessed 03 Jun. 2025.
Previous versions and publish date:
1.4 (2011-07-25 22:18), 1.5 (2011-08-24 11:56), 1.6 (2012-05-23 23:27), 1.7 (2014-08-06 20:48)
Other packages that cited osDesign R package
View osDesign citation profile
Other R packages that osDesign depends, imports, suggests or enhances
Complete documentation for osDesign
Functions, R codes and Examples using the osDesign R package
Some associated functions: Ohio . beta0 . ccPower . ccSim . infants . phaseI . plotPower . rmvhyper . tps . tpsPower . tpsSim . 
Some associated R codes: Full osDesign package functions and examples
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