Joint models for discrete longitudinal outcomes in aging research.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2016, v. 65, n. 1, p. 167, doi. 10.1111/rssc.12114
- By:
- Publication type:
- Article
Works matching IS 00359254 AND DT 2016 AND VI 65 AND IP 1
Results: 9
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Lagrangian time series models for ocean surface drifter trajectories.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2016, v. 65, n. 1, p. 29, doi. 10.1111/rssc.12112
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- Publication type:
- Article
3
Predicting health programme participation: a gravity-based, hierarchical modelling approach.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2016, v. 65, n. 1, p. 145, doi. 10.1111/rssc.12111
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- Publication type:
- Article
4
Causal inference with longitudinal outcomes and non-ignorable dropout: estimating the effect of living alone on cognitive decline.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2016, v. 65, n. 1, p. 131, doi. 10.1111/rssc.12110
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- Publication type:
- Article
5
Estimating controlled direct effects of restrictive feeding practices in the 'Early dieting in girls' study.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2016, v. 65, n. 1, p. 115, doi. 10.1111/rssc.12109
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- Publication type:
- Article
6
Analysis of multispecies point patterns by using multivariate log-Gaussian Cox processes.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2016, v. 65, n. 1, p. 77, doi. 10.1111/rssc.12108
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- Publication type:
- Article
7
Objective Bayesian estimation of the probability of default.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2016, v. 65, n. 1, p. 1, doi. 10.1111/rssc.12107
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- Publication type:
- Article
8
Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non-ignorable missing data.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2016, v. 65, n. 1, p. 51, doi. 10.1111/rssc.12105
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- Publication type:
- Article
9
Partially latent class models for case--control studies of childhood pneumonia aetiology.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2016, v. 65, n. 1, p. 97, doi. 10.1111/rssc.12101
- By:
- Publication type:
- Article