Three algorithms and SAS macros for estimating power and sample size for logistic models with one or more independent variables of interest in the presence of covariates.
David Keith WilliamsZoran BursacPublished in: Source Code Biol. Medicine (2014)
Keyphrases
- sample size
- independent variables
- statistical tests
- model selection
- regression model
- worst case
- small sample
- multiple regression
- statistical power
- logistic regression
- random sampling
- experimental design
- machine learning algorithms
- upper bound
- uniform sampling
- hypothesis tests
- statistical hypothesis testing
- learning algorithm
- statistical methods
- parameter estimation
- machine learning
- confidence intervals
- linear models
- statistical model
- learning process
- lower bound
- computational complexity
- learning environment