A latent variable modelling approach for the pooled analysis of individual participant data on the association between depression and chlamydia infection in adolescence and young adulthood in the UK-Reference-Cited by-同舟云学术

A latent variable modelling approach for the pooled analysis of individual participant data on the association between depression and chlamydia infection in adolescence and young adulthood in the UK

Published:2018-07-03 Issue:1 Volume:182 Page:101-130
ISSN:0964-1998
Container-title:Journal of the Royal Statistical Society: Series A (Statistics in Society)
language:en
Short-container-title:J. R. Stat. Soc. A

Author:

Koukounari Artemis¹,Copas Andrew J.²,Pickles Andrew³

Affiliation:

1. King's College London and Liverpool School of Tropical Medicine UK

2. University College London UK

3. King's College London UK

Funder

Medical Research Council

Wellcome Trust

King’s College London

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssa.12387

Reference60 articles.

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2. Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus

3. Factors affecting the variability of IRT equating coefficients

4. Estimating Latent Structure Models with Categorical Variables: One-Step Versus Three-Step Estimators

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