fix_input

<p>Single quoted name of covariate of interest</p>

<p>The user does not need to call this function. Warns about and fixes bad user input: missing data on analysis variables or
datasets containing extraneous variables.</p>

Implements methods in Mathur and VanderWeele (in preparation) to characterize global evidence strength across W correlated ordinary least squares (OLS) hypothesis tests. Specifically, uses resampling to estimate a null interval for the total number of rejections in, for example, 95% of samples generated with no associations (the global null), the excess hits (the difference between the observed number of rejections and the upper limit of the null interval), and a test of the global null based on the number of rejections.

Maya Mathur

fix_input: Fix bad user input

Description

Usage

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