Sample size calculations for clustered and longitudinal outcomes in clinical research
Accurate sample size calculation ensures that clinical studies have adequate power to detect clinically meaningful effects. This results in the efficient use of resources and avoids exposing a disproportionate number of patients to experimental treatments caused by an overpowered study. Sample Size...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press
2015.
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| Edición: | 1st edition |
| Colección: | Chapman & Hall/CRC biostatistics series (Unnumbered)
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629500706719 |
Tabla de Contenidos:
- Front Cover; Contents; Preface; List of Figures; List of Tables; Chapter 1: Sample Size Determination for Independent Outcomes; Chapter 2: Sample Size Determination for Clustered Outcomes; Chapter 3: Sample Size Determination for Repeated Measurement Outcomes Using Summary Statistics; Chapter 4: Sample Size Determination for Correlated Outcome Measurements Using GEE; Chapter 5: Sample Size Determination for Correlated Outcomes from Two-Level Randomized Clinical Trials; Chapter 6: Sample Size Determination for Correlated Outcomes from Three-Level Randomized Clinical Trials; Bibliography
- Back Cover
