inst/app/www/functions.md

In dhaine/apisensr: Interface to 'episensr' for Sensitivity Analysis of Epidemiological Results

| Functions available in: | | episensr | apisensr app | |-------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------:|:--------------:| | selection | Selection bias | x | x | | mbias | Selection bias caused by M bias | x | x | | confounders | Unmeasured or unknown confounders | x | x | | confounders.poly | Polytomous confounders | x | x | | confounders.emm | Unmeasured or unknown confounders in the presence of effect modification | x | x | | confounders.limit | Bounding the bias limits of unmeasured confounding | x | x | | confounders.array | Bias due to unmeasured confounders based on confounding imbalance among exposed and unexposed | x | x | | confounders.ext | Unmeasured confounders based on external measurement | x | x | | confounders.evalue | E-value due to unmeasured confounder | x | | | misclassification | Disease or exposure misclassification | x | x | | misclassification.cov | Covariate misclassification | x | x | | bootstrap | Bootstrap resampling for selection and misclassification bias | x | | | multidimBias | Multidimensional bias analysis | x | x | | probsens.sel | Probabilistic analysis for selection bias | x | x | | probsens.conf | Probabilistic analysis for unmeasured confounding | x | x | | probsens | Probabilistic analysis for misclassification | x | x | | probsens.irr.conf | Probabilistic analysis for unmeasured confounding of person-time data | x | | | probsens.irr | Probabilistic analysis for exposure misclassification of person-time data | x | | | multiple bias | Multiple bias modeling | x | |

dhaine/apisensr documentation built on Sept. 14, 2023, 12:42 a.m.