AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
The Impact of Covariates in Statistical Analyses
The chapter explores the trade-offs involved in incorporating covariates in studies, discussing their effects on statistical power, mean square error, and variance. It emphasizes the importance of carefully considering the number of covariates to include in linear models versus other model types like logistic regression. The conversation also discusses challenges like causal inference complexities, the penalty for imbalance in predictive models, and the need for better communication and collaboration across different sectors in statistical methodologies.