Package: EValue 4.1.3

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 & VanderWeele (2021) <arxiv:2005.02908>). 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., under review).

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

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EValue.pdf |EValue.html✨
EValue/json (API)

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

Peer review:

Datasets:
  • lead - An example dataset
  • soyMeta - A meta-analysis on soy intake and breast cancer risk
  • toyMeta - An example meta-analysis

On CRAN:

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

35 exports 3 stars 2.76 score 43 dependencies 1 dependents 13 mentions 62 scripts 775 downloads

Last updated 3 years agofrom:739353c4c9. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winNOTEAug 24 2024
R-4.5-linuxNOTEAug 24 2024
R-4.4-winNOTEAug 24 2024
R-4.4-macNOTEAug 24 2024
R-4.3-winNOTEAug 24 2024
R-4.3-macNOTEAug 24 2024

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:bootclicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmetadatmetaforMetaUtilitymgcvmunsellnlmenumDerivpbapplypillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

E-values for meta-analyses

Rendered frommeta-analysis.Rmdusingknitr::rmarkdownon Aug 24 2024.

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

Introduction to multiple-bias sensitivity analysis

Rendered frommultiple-bias.Rmdusingknitr::rmarkdownon Aug 24 2024.

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

E-values for selection bias

Rendered fromselection-bias.Rmdusingknitr::rmarkdownon Aug 24 2024.

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

E-values for unmeasured confounding

Rendered fromunmeasured-confounding.Rmdusingknitr::rmarkdownon Aug 24 2024.

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

Multiple-bias sensitivity analysis examples

Rendered frommultiple-bias-examples.Rmdusingknitr::rmarkdownon Aug 24 2024.

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