이미 소장하고 있다면 판매해 보세요.
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Prognostic models for survival data using (clinical) information available at baseline, based on the Cox model: The special nature of survival data. Cox regression model. Measuring the predictive value of a Cox model. Calibration and revision of Cox models. Prognostic models for survival data using (clinical) information available at baseline, when the proportional hazards assumption of the Cox model is violated: Mechanisms explaining violation of the Cox model. Non-proportional hazards models. Dealing with non-proportional hazards. Dynamic prognostic models for survival data using time-dependent information: Dynamic predictions using biomarkers. Dynamic prediction in multi-state models. Dynamic prediction in chronic disease. Dynamic prognostic models for survival data using genomic data: Penalized Cox models. Dynamic prediction based on genomic data. Appendices: Data sets. Software and website. References. Index. |