Cancer prediction tools are widely available to clinicians, and the data retrieved from these tools can assist with patient counseling sessions on risk, prognosis, treatment, and recurrence. Current tools are able to synthesize data in a concise, unbiased, and evidence-based method, allowing patients to make better-informed decisions about their treatment options. As useful as these tools can b...

This paper proposes a robust semiparametric bootstrap method to estimate predictive distributions of GARCH-type models. The method is based on a robust estimation of parametric GARCH models and a robustified resampling scheme for GARCH residuals that controls bootstrap instability due to outlying observations. A Monte Carlo simulation shows that our robust method provides more accurate VaR fore...

Risk prediction is an important area of clinical application of statistical methods. Angela Wood, assisted by IanWhite and SimonThompson, organized a three-day international workshop on Statistical Challenges in Risk Prediction in Cambridge, UK, onNovember 19–21, 2012, with 21 invited academic statisticians (Fig. 1). The workshop covered statistical challenges faced when developing, assessing, ...

We describe two important sets of tools for neural network modeling: prediction risk estimation and network architecture selection. Prediction risk is defined as the expected performance of an estimator in predicting new observations. Estimated prediction risk can be used both for estimating the quality of model predictions and for model selection. Prediction risk estimation and model selection...

Cancer, as we now know, is a genetic disease. This knowledge entails that to enable evidence-based personalized diagnosis for any patient, the location of where the tumor occurs (e.g. brain, liver, etc.) is less relevant than the underlying genetic signature that the cancer cells express (i.e. whether genes are silenced, amplified or mutated). With the advent of high-throughput gene sequencing ...

Background: Breast cancer is one of the most important malignancies in both developed and developing countries. Objectives: To reduce the burden of this disease, the prediction of individuals at risk and implementation of efficient preventive interventions can be effective. The present study was aimed at investigating five-year and lifetime risks of the breast cancer in a rural community in Za...