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A Comparison of Power Analysis Methods for Evaluating Effects of a Predictor on Slopes in Longitudinal Designs with Missing Data
In many longitudinal studies, evaluating the effect of a binary or continuous predictor variable on the rate of change of the outcome, i.e., slope, is often of primary interest. Sample size determination of these studies, however, is complicated by the expectation that missing data will occur due to...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3913747/ https://ncbi.nlm.nih.gov/pubmed/22357710 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280212437452 |
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