SOR: Estimation using Sequential Offsetted Regression
Version 0.23.0

Estimation for longitudinal data following outcome dependent sampling using the sequential offsetted regression technique. Includes support for binary, count, and continuous data. The first regression is a logistic regression, which uses a known ratio (the probability of being sampled given that the subject/observation was referred divided by the probability of being sampled given that the subject/observation was no referred) as an offset to estimate the probability of being referred given outcome and covariates. The second regression uses this estimated probability to calculate the mean population response given covariates.

Getting started

Package details

AuthorLee McDaniel [aut, cre], Jonathan Schildcrout [aut]
Date of publication2016-12-09 22:56:23
MaintainerLee McDaniel <lmcda4@lsuhsc.edu>
LicenseGPL-3
Version0.23.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SOR")

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SOR documentation built on May 29, 2017, 6:42 p.m.