Other packages > Find by keyword >

autoCovariateSelection  

Automated Covariate Selection Using HDPS Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("autoCovariateSelection", "1.0.0")



Attach the package and use:
library("autoCovariateSelection")
Maintained by
Dennis Robert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-14
Latest Update: 2020-12-14
Description:
Contains functions to implement automated covariate selection using methods described in the high-dimensional propensity score (HDPS) algorithm by Schneeweiss et.al. Covariate adjustment in real-world-observational-data (RWD) is important for for estimating adjusted outcomes and this can be done by using methods such as, but not limited to, propensity score matching, propensity score weighting and regression analysis. While these methods strive to statistically adjust for confounding, the major challenge is in selecting the potential covariates that can bias the outcomes comparison estimates in observational RWD (Real-World-Data). This is where the utility of automated covariate selection comes in. The functions in this package help to implement the three major steps of automated covariate selection as described by Schneeweiss et. al elsewhere. These three functions, in order of the steps required to execute automated covariate selection are, get_candidate_covariates(), get_recurrence_covariates() and get_prioritised_covariates(). In addition to these functions, a sample real-world-data from publicly available de-identified medical claims data is also available for running examples and also for further exploration. The original article where the algorithm is described by Schneeweiss et.al. (2009) .
How to cite:
Dennis Robert (2020). autoCovariateSelection: Automated Covariate Selection Using HDPS Algorithm. R package version 1.0.0, https://cran.r-project.org/web/packages/autoCovariateSelection. Accessed 06 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited autoCovariateSelection R package
View autoCovariateSelection citation profile
Other R packages that autoCovariateSelection depends, imports, suggests or enhances
Complete documentation for autoCovariateSelection
Functions, R codes and Examples using the autoCovariateSelection R package
Some associated functions: get_candidate_covariates . get_prioritised_covariates . get_recurrence_covariates . get_relative_risk . rwd . 
Some associated R codes: acs.R . data.R .  Full autoCovariateSelection package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

equatiomatic  
Transform Models into 'LaTeX' Equations
The goal of equatiomatic is to reduce the painassociated with writing LaTeX formulas from fitted mod ...
Download / Learn more Package Citations See dependency  
memoise  
'Memoisation' of Functions
Cache the results of a function so that when you call it again with the same arguments it returns t ...
Download / Learn more Package Citations See dependency  
ddp  
Desirable Dietary Pattern
The desirable Dietary Pattern (DDP)/ PPH score measures the variety of food consumption. The (weigh ...
Download / Learn more Package Citations See dependency  
mailR  
A Utility to Send Emails from R
Interface to Apache Commons Email to send emails from R. ...
Download / Learn more Package Citations See dependency  
maic  
Matching-Adjusted Indirect Comparison
A generalised workflow for generation of subject weights to be used in Matching-Adjusted Indirect C ...
Download / Learn more Package Citations See dependency  
seriation  
Infrastructure for Ordering Objects Using Seriation
Infrastructure for ordering objects with an implementation of several seriation/sequencing/ordinati ...
Download / Learn more Package Citations See dependency  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA