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Using a Bayesian latent growth curve model to identify trajectories of positive affect and negative events following myocardial infarction
Positive and negative affect data are often collected over time in psychiatric care settings, yet no generally accepted means are available to relate these data to useful diagnoses or treatments. Latent class analysis attempts data reduction by classifying subjects into one of K unobserved classes b...
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| Główni autorzy: | , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2005
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2827342/ https://ncbi.nlm.nih.gov/pubmed/15618532 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxh022 |
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