Models and prediction, how and what?

Yujing Xie, Zhangsheng Yu


Prediction and estimation are the two primary goals in statistical modeling. Prediction models are essential for medical researches, especially with the rapid accumulation of medical data. Zhou et al. recently made a comprehensive summary of the prediction model and its evaluation methods (1). The work provides in depth tools in prediction models for medical researchers and bridges the statistical method researchers and medical applications. The application driven introduction of prediction model provides prediction model analysis workflow without involving detailed formula for the medical investigators. The included examples with R code and interpretation are illuminating for statistical practice.