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Published on: September 27, 2019
Classical latent variable models for medical research
Sophia Rabe-Hesketh1, Anders Skrondal
1Graduate School of Education and Graduate Group in Biostatistics, University of California, Berkeley, CA 94720-1670, USA. sophiarh@berkeley.edu
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.
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