Selection and Misclassification Bias Adjustment for Logistic Regression Models


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Documentation for package ‘SAMBA’ version 0.9.0

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approxdist Estimate parameters in the disease model approximating the observed data distribution
nonlogistic Estimate parameters in the disease model given sensitivity as a function of covariates.
obsloglik Estimate parameters in the disease model using observed data log-likelihood using direct maximization.
obsloglikEM Estimate parameters in the disease model using observed data log-likelihood using the expectation-maximization algorithm
samba.df Synthetic example data for SAMBA adapted from the vignette
sensitivity Estimate sensitivity