Clinical prediction models are widely used in modern clinical practice. Such models are often developed using individual patient data (IPD) from a single study, but often there are IPD available from multiple studies. This allows using meta-analytical methods for developing prediction models, increasing power and precision. Different studies,…

Background: Stratified medicine seeks to identify patients most likely to respond to treatment. Individual participant data (IPD) network meta-analysis (NMA) models have greater power than individual trials to identify treatment-covariate interactions (TCIs). Treatment-covariate interactions contain "within" and "across" trial…

Procedures for the evaluation of patient education programs have been slow to evolve; the majority of programs, in fact, remain unevaluated. Patient education efforts, particularly with cancer patients, are effective in enhancing recovery, alleviating anxiety, and facilitating compliance. Patient education should minimize patient dependence on…