Pages that link to "Item:Q2838992"
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The following pages link to Identifying latent clusters of variability in longitudinal data (Q2838992):
Displaying 10 items.
- Stratified psychiatry via convexity-based clustering with applications towards moderator analysis (Q1747586) (← links)
- Semiparametric regression during 2003--2007 (Q1952023) (← links)
- Examining interindividual differences in cyclicity of pleasant and unpleasant affects using spectral analysis and item response modeling (Q2260032) (← links)
- An application of the LC-LSTM framework to the self-esteem instability case (Q2452363) (← links)
- FPCA-based method to select optimal sampling schedules that capture between-subject variability in longitudinal studies (Q3119828) (← links)
- Joint modeling of cross‐sectional health outcomes and longitudinal predictors via mixtures of means and variances (Q3459949) (← links)
- Clustering of Variables Around Latent Components (Q4431295) (← links)
- Using a Bayesian latent growth curve model to identify trajectories of positive affect and negative events following myocardial infarction (Q5313581) (← links)
- WiSER: Robust and scalable estimation and inference of within‐subject variances from intensive longitudinal data (Q6055675) (← links)
- A comparison of methods for clustering longitudinal data with slowly changing trends (Q6171516) (← links)
