Sample size calculations for clustered and longitudinal outcomes in clinical research /

Mostrar otras versiones (1)

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Ahn, Chul, 1956- (Autor), Heo, Moonseoung (Autor), Zhang, Song (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, Florida : CRC Press LLC, [2015]
Colección:Chapman & Hall/CRC biostatistics series.
Temas:
Medicine > Research > Statistical methods.
Médecine > Recherche > Méthodes statistiques.
HEALTH & FITNESS > Holism.
HEALTH & FITNESS > Reference.
MEDICAL > Alternative Medicine.
MEDICAL > Atlases.
MEDICAL > Essays.
MEDICAL > Family & General Practice.
MEDICAL > Holistic Medicine.
MEDICAL > Osteopathy.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 1. Sample size determination for independent outcomes
  • 2. Sample size determination for clustered outcomes
  • 3. Sample size determination for repeated measurement outcomes using summary statistics
  • 4. Sample size determination for correlated outcome measurements using GEE
  • 5. Sample size determination for correlated outcomes from two-level randomized clinical trials
  • 6. Sample size determination for correlated outcomes from three-level randomized clinical trials.

Ejemplares similares