Conduct Sensitivity Analysis with Continuous Exposures and Binary Outcomes

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Documentation for package ‘doseSens’ version 0.1.0

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binary_thresh_attribute Separable algorithm for threshold attributable effect in a sensitivity analysis with at most one over-exposed unit in each matched set. For a greater than alternative, finds the 'a' matched sets that most decrease the mean and/or variance.
change_Delta A helper that takes a gurobi model object outputted from dose_attributable_general or dose_thresh_attributable_one_sided and changes the Delta parameter. Saves computation time by directly editing the constraint involving Delta without having to reinitialize the other constraints that are kept the same. Outputs a list analogous to output from dose_attributable_general or dose_thresh_attributable_one_sided.
dev_TV Computes deviation from uniform distribution in total variation distance for a given amount of unmeasured confounding and a greater than alternative with a binary outcome.
dose_attributable_general Inference for general attributable effects in sensitivity analysis with continuous exposures and binary outcomes. Gurobi must be installed to use this function.
dose_sensitivity_mc_gen Sharp null monte-carlo sensitivity analysis for continuous exposures and binary outcomes.
dose_thresh_attributable_one_sided Inference for threshold attributable effects in sensitivity analysis with continuous exposures and binary outcomes. Gurobi must be installed to use this function.
normal_test_gen Sharp null sensitivity analysis for continuous exposures and binary outcomes using normal approximation.
treat_out_match Matched lead dataset