Classical latent variable models for medical research Export

@article{rabe:hesketh:skrondal:2008:smmr, abstract = {Latent variable models are commonly used in medical statistics, although often not referred to under this name. In this paper we describe classical latent variable models such as factor analysis, item response theory, latent class models and structural equation models. Their usefulness in medical research is demonstrated using real data. Examples include measurement of forced expiratory flow, measurement of physical disability, diagnosis of myocardial infarction and modelling the determinants of clients' satisfaction with counsellors' interviews. 10.1177/0962280207081236}, address = {Graduate School of Education and Graduate Group in Biostatistics, University of California, Berkeley, CA 94720-1670, USA. sophiarh@berkeley.edu}, author = {Rabe-Hesketh, Sophia and Skrondal, Anders}, citeulike-article-id = {2663951}, citeulike-linkout-0 = {http://dx.doi.org/10.1177/0962280207081236}, citeulike-linkout-1 = {http://smm.sagepub.com/content/17/1/5.abstract}, citeulike-linkout-2 = {http://smm.sagepub.com/content/17/1/5.full.pdf}, citeulike-linkout-3 = {http://smm.sagepub.com/cgi/content/abstract/17/1/5}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/17855748}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=17855748}, day = {1}, doi = {10.1177/0962280207081236}, issn = {0962-2802}, journal = {Stat Methods Med Res}, keywords = {latent\_variable, review\_article, sem, sem\_medicine}, month = {February}, number = {1}, pages = {5--32}, posted-at = {2009-11-02 20:25:47}, priority = {2}, title = {Classical latent variable models for medical research}, url = {http://dx.doi.org/10.1177/0962280207081236}, volume = {17}, year = {2008} }

TY - JOUR ID - rabe:hesketh:skrondal:2008:smmr L3 - citeulike-article-id:2663951 N2 - Latent variable models are commonly used in medical statistics, although often not referred to under this name. In this paper we describe classical latent variable models such as factor analysis, item response theory, latent class models and structural equation models. Their usefulness in medical research is demonstrated using real data. Examples include measurement of forced expiratory flow, measurement of physical disability, diagnosis of myocardial infarction and modelling the determinants of clients' satisfaction with counsellors' interviews. 10.1177/0962280207081236 IS - 1 JF - Stat Methods Med Res SN - 0962-2802 AD - Graduate School of Education and Graduate Group in Biostatistics, University of California, Berkeley, CA 94720-1670, USA. sophiarh@berkeley.edu EP - 32 TI - Classical latent variable models for medical research VL - 17 SP - 5 KW - latent_variable KW - review_article KW - sem KW - sem_medicine AU - Rabe-Hesketh, Sophia AU - Skrondal, Anders PY - 2008/02/01/ UR - http://dx.doi.org/10.1177/0962280207081236 ER -