Package: EValue 4.1.4

EValue: Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses

Conducts sensitivity analyses for unmeasured confounding, selection bias, and measurement error (individually or in combination; VanderWeele & Ding (2017) <doi:10.7326/M16-2607>; Smith & VanderWeele (2019) <doi:10.1097/EDE.0000000000001032>; VanderWeele & Li (2019) <doi:10.1093/aje/kwz133>; Smith, Mathur, & VanderWeele (2021) <doi:10.1097/EDE.0000000000001380>). Also conducts sensitivity analyses for unmeasured confounding in meta-analyses (Mathur & VanderWeele (2020a) <doi:10.1080/01621459.2018.1529598>; Mathur & VanderWeele (2020b) <doi:10.1097/EDE.0000000000001180>) and for additive measures of effect modification (Mathur et al., <doi:10.1093/ije/dyac073>).

Authors:Maya B. Mathur [cre, aut], Louisa H. Smith [aut], Peng Ding [aut], Tyler J. VanderWeele [aut]

EValue_4.1.4.tar.gz
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EValue_4.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EValue/json (API)

# Install 'EValue' in R:
install.packages('EValue', repos = c('https://mayamathur.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • lead - An example dataset
  • soyMeta - A meta-analysis on soy intake and breast cancer risk
  • toyMeta - An example meta-analysis

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

7.23 score 4 stars 1 packages 248 scripts 2.3k downloads 13 mentions 35 exports 40 dependencies

Last updated from:44c2dc41ce. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK173
source / vignettesOK230
linux-releaseOK183
macos-releaseOK136
macos-oldrelOK117
windows-develOK129
windows-releaseOK105
windows-oldrelOK116
wasm-releaseOK120

Exports:bias_plotconfounded_metaconfoundingevalueevalues.HRevalues.ICevalues.MDevalues.OLSevalues.ORevalues.RDevalues.RRHRMDmisclassificationmulti_biasmulti_boundmulti_evaluemulti_evalues.HRmulti_evalues.ORmulti_evalues.RROLSORRDRRselectionselection_evaluesens_plotsvalues.HRsvalues.ORsvalues.RRthresholdthreshold_selectiontoMDtoRRtwoXtwoRR

Dependencies:bootclicpp11digestdplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrmathjaxrMatrixmetadatmetaforMetaUtilitynlmenumDerivpbapplypillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

E-values for meta-analyses
Example from Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses
Rendered frommeta-analysis.Rmdusingknitr::rmarkdown

Last update: 2021-01-04
Started: 2020-06-16

E-values for unmeasured confounding
Examples from Sensitivity Analysis without Assumptions | Examples from Sensitivity Analysis in Observational Research: Introducing the E-value
Rendered fromunmeasured-confounding.Rmdusingknitr::rmarkdown

Last update: 2021-01-04
Started: 2020-06-16

Introduction to multiple-bias sensitivity analysis
Biases | Parameters describing the biases | Ordering of the biases | Bounds | Multi-bias E-values
Rendered frommultiple-bias.Rmdusingknitr::rmarkdown

Last update: 2020-06-16
Started: 2020-06-16

E-values for selection bias
Rendered fromselection-bias.Rmdusingknitr::rmarkdown

Last update: 2020-06-16
Started: 2020-06-16

Multiple-bias sensitivity analysis examples
HIV infection in utero | Vitamins during pregnancy
Rendered frommultiple-bias-examples.Rmdusingknitr::rmarkdown

Last update: 2020-06-16
Started: 2020-06-16

Readme and manuals

Help Manual

Help pageTopics
Plot bias factor as function of confounding relative risksbias_plot
Sensitivity analysis for unmeasured confounding in meta-analysesconfounded_meta
Unmeasured confoundingconfounding
Convert an effect measureconvert_measures toMD toRR
Declare an effect measureeffect_measures HR MD OLS OR RD RR
Compute an E-value for unmeasured confoundingevalue
Compute E-value for a hazard ratio and its confidence interval limitsevalues.HR
Compute an E-value for unmeasured confounding for an additive interaction contrastevalues.IC
Compute E-value for a difference of means and its confidence interval limitsevalues.MD
Compute E-value for a linear regression coefficient estimateevalues.OLS
Compute E-value for an odds ratio and its confidence interval limitsevalues.OR
Compute E-value for a population-standardized risk difference and its confidence interval limitsevalues.RD
Compute E-value for a risk ratio or rate ratio and its confidence interval limitsevalues.RR
An example datasetlead
Misclassificationmisclassification
Create a set of biases for a multi-bias sensitivity analysismulti_bias
Calculate a bound for the biasmulti_bound
Calculate a multiple-bias E-valuemulti_evalue multi_evalues.HR multi_evalues.OR multi_evalues.RR
Selection biasselection
Compute selection bias E-value for a hazard ratio and its confidence interval limitsselection_evalue
Plots for sensitivity analysessens_plot
A meta-analysis on soy intake and breast cancer risk (Trock et al., 2006)soyMeta
Compute selection bias E-value for an estimate and its confidence interval limitssvalues.HR
Compute selection bias E-value for an odds ratio and its confidence interval limitssvalues.OR
Compute selection bias E-value for a risk ratio or rate ratio and its confidence interval limitssvalues.RR
An example meta-analysistoyMeta
Estimate risk ratio and compute CI limits from two-by-two tabletwoXtwoRR