Estimators and tests in the analysis of multiple nonindependent 2 x 2 tables with partially missing observations.

@article{Lachin1988EstimatorsAT,
  title={Estimators and tests in the analysis of multiple nonindependent 2 x 2 tables with partially missing observations.},
  author={John M Lachin and Lee-Jen Wei},
  journal={Biometrics},
  year={1988},
  volume={44 2},
  pages={513-28}
}
We present methods for the analysis of a K-variate binary measure for two independent groups where some observations may be incomplete, as in the case of K repeated measures in a comparative trial. For the K 2 X 2 tables, let theta = (theta 1,..., theta K) be a vector of association parameters where theta k is a measure of association that is a continuous function of the probabilities pi ik in each group (i = 1, 2; k = 1,..., K), such as the log odds ratio or log relative risk. The asymptotic… CONTINUE READING