Diagnostics for Confounding of Time-Varying and Other Joint Exposures

Implements three covariate-balance diagnostics for time-varying confounding and selection-bias in complex longitudinal data, as described in Jackson (2016) and Jackson (2019) . Diagnostic 1 assesses measured confounding/selection-bias, diagnostic 2 assesses exposure-covariate feedback, and diagnostic 3 assesses residual confounding/selection-bias after inverse probability weighting or propensity score stratification. All diagnostics appropriately account for exposure history, can be adapted to assess a particular depth of covariate history, and can be implemented in right-censored data. Balance assessments can be obtained for all times, selected-times, or averaged across person-time. The balance measures are reported as tables or plots. These diagnostics can be applied to the study of multivariate exposures including time-varying exposures, direct effects, interaction, and censoring.


Reference manual

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1.2 by John W. Jackson, a year ago

Report a bug at https://github.com/jwjackson/confoundr/issues

Browse source code at https://github.com/cran/confoundr

Authors: John W. Jackson [aut, cre] , Erin Schnellinger [ctb] , Linda Valeri [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports grid, gridExtra, scales, Rmpfr, dplyr, tidyr, ggplot2, magrittr, stringr, purrr, rlang, stats

Suggests covr, knitr, rmarkdown, testthat, broom

See at CRAN