Joint modelling of mixed outcome types using latent variables Export

@article{mcculloch:2009, abstract = {After a brief review of the use of latent variables to accommodate the correlation among multiple outcomes of mixed types, through theoretical and numerical calculation, the consequences of such a construction are quantified. The effects of including latent variables on marginal inference in these models are contrasted with the situation for jointly normal outcomes. A simulation study illustrates the efficiency and reduction in bias gains possible in using joint models, and analysis of an example from the field of osteoarthritis illustrates potential practical differences. 10.1177/0962280207081240}, author = {McCulloch, Charles}, citeulike-article-id = {6057363}, citeulike-linkout-0 = {http://dx.doi.org/10.1177/0962280207081240}, citeulike-linkout-1 = {http://smm.sagepub.com/content/17/1/53.abstract}, citeulike-linkout-2 = {http://smm.sagepub.com/content/17/1/53.full.pdf}, citeulike-linkout-3 = {http://view.ncbi.nlm.nih.gov/pubmed/17855745}, citeulike-linkout-4 = {http://www.hubmed.org/display.cgi?uids=17855745}, day = {1}, doi = {10.1177/0962280207081240}, journal = {Stat Methods Med Res}, keywords = {latent\_variable, mixed\_model, random\_effect, sem}, month = {February}, number = {1}, pages = {53--73}, posted-at = {2009-11-02 20:35:09}, priority = {2}, title = {Joint modelling of mixed outcome types using latent variables}, url = {http://dx.doi.org/10.1177/0962280207081240}, volume = {17}, year = {2008} }

TY - JOUR ID - mcculloch:2009 L3 - citeulike-article-id:6057363 N2 - After a brief review of the use of latent variables to accommodate the correlation among multiple outcomes of mixed types, through theoretical and numerical calculation, the consequences of such a construction are quantified. The effects of including latent variables on marginal inference in these models are contrasted with the situation for jointly normal outcomes. A simulation study illustrates the efficiency and reduction in bias gains possible in using joint models, and analysis of an example from the field of osteoarthritis illustrates potential practical differences. 10.1177/0962280207081240 IS - 1 JF - Stat Methods Med Res EP - 73 TI - Joint modelling of mixed outcome types using latent variables VL - 17 SP - 53 KW - latent_variable KW - mixed_model KW - random_effect KW - sem AU - McCulloch, Charles PY - 2008/02/01/ UR - http://dx.doi.org/10.1177/0962280207081240 ER -