Statistical Inference for Apparent Populations Export

@article{citeulike:333410, abstract = {In this paper we consider statistical inference for datasets that are not replicable. We call these datasets, which are common in sociology, apparent populations. We review how such data are usually analyzed by sociologists and then suggest that perhaps a Bayesian approach has merit as an alternative. We illustrate our views with an empirical example.}, author = {Berk, Richard A. and Western, Bruce and Weiss, Robert E.}, citeulike-article-id = {333410}, citeulike-linkout-0 = {http://dx.doi.org/10.2307/271073}, citeulike-linkout-1 = {http://www.jstor.org/stable/271073}, doi = {10.2307/271073}, keywords = {causality, observational\_studies, randomization\_inference, statistics}, posted-at = {2005-09-28 00:27:42}, priority = {2}, title = {Statistical Inference for Apparent Populations}, url = {http://dx.doi.org/10.2307/271073} }

TY - JOUR ID - citeulike:333410 L3 - citeulike-article-id:333410 N2 - In this paper we consider statistical inference for datasets that are not replicable. We call these datasets, which are common in sociology, apparent populations. We review how such data are usually analyzed by sociologists and then suggest that perhaps a Bayesian approach has merit as an alternative. We illustrate our views with an empirical example. TI - Statistical Inference for Apparent Populations KW - causality KW - observational_studies KW - randomization_inference KW - statistics AU - Berk, Richard AU - Western, Bruce AU - Weiss, Robert UR - http://dx.doi.org/10.2307/271073 ER -