Package: LocalControl 1.1.4

Christophe G. Lambert

LocalControl: Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence

Implements novel nonparametric approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes. While designed and appropriate for use in studies involving medicine and the life sciences, the package can be used in other situations involving outcomes with multiple confounders. The package implements a family of methods for non-parametric bias correction when comparing treatments in observational studies, including survival analysis settings, where competing risks and/or censoring may be present. The approach extends to bias-corrected personalized predictions of treatment outcome differences, and analysis of heterogeneity of treatment effect-sizes across patient subgroups. For further details, please see: Lauve NR, Nelson SJ, Young SS, Obenchain RL, Lambert CG. LocalControl: An R Package for Comparative Safety and Effectiveness Research. Journal of Statistical Software. 2020. p. 1–32. Available from <doi:10.18637/jss.v096.i04>.

Authors:Nicolas R. Lauve [aut], Stuart J. Nelson [aut], S. Stanley Young [aut], Robert L. Obenchain [aut], Melania Pintilie [ctb], Martin Kutz [ctb], Christophe G. Lambert [aut, cre]

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LocalControl/json (API)
NEWS

# Install 'LocalControl' in R:
install.packages('LocalControl', repos = c('https://ohdsi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ohdsi/localcontrol/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • cardSim - Simulated cardiac medication data for survival analysis
  • framingham - Framingham heart study data extract on smoking and hypertension.
  • lindner - Lindner Center for Research and Education study on Abciximab cost-effectiveness and survival

On CRAN:

21 exports 1 stars 1.19 score 4 dependencies 12 scripts 269 downloads

Last updated 14 days agofrom:a976a465ca. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-win-x86_64OKSep 05 2024
R-4.5-linux-x86_64OKSep 05 2024
R-4.4-win-x86_64OKSep 05 2024
R-4.4-mac-x86_64OKSep 05 2024
R-4.4-mac-aarch64OKSep 05 2024
R-4.3-win-x86_64OKSep 05 2024
R-4.3-mac-x86_64OKSep 05 2024
R-4.3-mac-aarch64OKSep 05 2024

Exports:LocalControlLocalControlClassiclocalControlCompetingRisksLocalControlCompetingRisksConfidencelocalControlNearestNeighborsLocalControlNearestNeighborsConfidenceplotLocalControlCIFplotLocalControlLTDSPSbalanSPSloessSPSlogitSPSnbinsSPSoutcoUPSaccumUPSaltddUPSboxplotUPSgraphUPShclusUPSivadjUPSLTDdistUPSnnltd

Dependencies:clustergsslatticeRcpp

LocalControl-jss-2020

Rendered fromLocalControl-jss-2020.Rnwusingutils::Sweaveon Sep 05 2024.

Last update: 2024-09-04
Started: 2022-05-20

Readme and manuals

Help Manual

Help pageTopics
Simulated cardiac medication data for survival analysiscardSim
Framingham heart study data extract on smoking and hypertension.framingham
Lindner Center for Research and Education study on Abciximab cost-effectiveness and survivallindner
Local ControlLocalControl
Deprecated LocalControl functionsLocalControl-deprecated localControlCompetingRisks localControlNearestNeighbors plotLocalControlCIF plotLocalControlLTD
Local Control ClassicLocalControlClassic
Calculate confidence intervals around the cumulative incidence functions (CIFs) generated by LocalControl when outcomeType = "survival".LocalControlCompetingRisksConfidence
Provides a bootstrapped confidence interval estimate for LocalControl LTDs.LocalControlNearestNeighborsConfidence
Plot cumulative incidence functions (CIFs) from Local Control.plot.LocalControlCR
Plots the local treatment difference as a function of radius for LocalControl.plot.LocalControlCS
Test for Within-Bin X-covariate Balance in Supervised Propensiy ScoringSPSbalan
LOESS Smoothing of Outcome by Treatment in Supervised Propensiy ScoringSPSloess
Propensity Score prediction of Treatment Selection from Patient Baseline X-covariatesSPSlogit
Change the Number of Bins in Supervised Propensiy ScoringSPSnbins
Examine Treatment Differences on an Outcome Measure in Supervised Propensiy ScoringSPSoutco
Prepare for Accumulation of (Outcome,Treatment) Results in Unsupervised Propensity ScoringUPSaccum
Artificial Distribution of LTDs from Random ClustersUPSaltdd
Returns a series of boxplots comparing LTD distributions given different numbers of clusters.UPSboxplot
Display Sensitivity Analysis Graphic in Unsupervised Propensiy ScoringUPSgraph
Hierarchical Clustering of Patients on X-covariates for Unsupervised Propensiy ScoringUPShclus
Instrumental Variable LATE Linear Fitting in Unsupervised Propensiy ScoringUPSivadj
Plot the LTD distribution as a function of the number of clusters.UPSLTDdist
Nearest Neighbor Distribution of LTDs in Unsupervised Propensiy ScoringUPSnnltd