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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.

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conda 163.4 kB | noarch/r-sor-0.23.1-r43h142f84f_0.tar.bz2  10 months and a few seconds ago 16 main
conda 162.2 kB | noarch/r-sor-0.23.1-r42h142f84f_0.tar.bz2  2 years and 4 months ago 45 main
conda 163.8 kB | noarch/r-sor-0.23.1-r36h6115d3f_0.tar.bz2  4 years and 8 months ago 117 main

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