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Biostatistical design and analysis using R : a practical guide
| Autor principal: | |
|---|---|
| Formato: | Libro |
| Lenguaje: | English |
| Publicado: |
Chichester, UK ; Hoboken, NJ :
Wiley-Blackwell,
2010.
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| Materias: |
Tabla de Contenidos:
- Introduction to R
- Data sets
- Introductory statistical principles
- Sampling and experimental design with R
- Graphical data presentation
- Simple hypothesis testing, one and two population tests
- Introduction to linear models
- Correlation and simple linear regression
- Multiple and curvilinear regression
- Single factor classification (ANOVA)
- Nested ANOVA
- Factorial ANOVA
- Unreplicated factorial designs, randomized block and simple repeated measures
- Partly nested designs: split plot and complex repeated measures
- Analysis of covariance (ANCOVA)
- Simple frequency analysis
- Generalized linear models (GLM)