Validation of prognostic indices using the frailty model
| العنوان: | Validation of prognostic indices using the frailty model |
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| المؤلفون: | Vincent Ducrocq, Catherine Legrand, Luc Duchateau, Richard Sylvester, Paul Janssen |
| المساهمون: | European Organization for Research and Treatment of Cancer (EORTC), EORTC, Université Catholique de Louvain = Catholic University of Louvain (UCL), Universiteit Gent = Ghent University [Belgium] (UGENT), Center for Statistics, Hasselt University (UHasselt), Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA) |
| المصدر: | Lifetime Data Analysis Lifetime Data Analysis, Springer Verlag, 2009, 15 (1), pp.59-78. ⟨10.1007/s10985-008-9092-2⟩ |
| بيانات النشر: | HAL CCSD, 2009. |
| سنة النشر: | 2009 |
| مصطلحات موضوعية: | Index (economics), Databases, Factual, frailty model, Computer science, [SDV]Life Sciences [q-bio], Posterior probability, Bayesian probability, 01 natural sciences, Disease-Free Survival, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Statistics, Econometrics, Statistical inference, Humans, Multicenter Studies as Topic, Computer Simulation, 0101 mathematics, Probability, Proportional Hazards Models, multicenter clinical trial, validation, Analysis of Variance, Clinical Trials as Topic, Proportional hazards model, Applied Mathematics, Hazard ratio, prognostic index, Reproducibility of Results, General Medicine, Explained variation, Random effects model, Prognosis, Survival Analysis, 3. Good health, Urinary Bladder Neoplasms, 030220 oncology & carcinogenesis, Sample Size, bladder cancer |
| الوصف: | Chantier qualité GA; International audience; A major issue when proposing a new prognostic index is its generalisibility to daily clinical practice. Validation is therefore required. Most validation techniques assess whether “on average” the results obtained by the prognostic index in classifying patients in a new sample of patients are similar to the results obtained in the construction set. We introduce a new important aspect of the generalisibility of a prognostic index: the heterogeneity of the prognostic index risk group hazard ratios over different centers. If substantial variability between centers exists, the prognostic index may have no discriminatory capability in some of the centers. To model such heterogeneity, we use a frailty model including a random center effect and a random prognostic index by center interaction. Statistical inference is based on a Bayesian approach using a Laplacian approximation for the marginal posterior distribution of the variances of the random effects. We investigate different ways to summarize the information available from this marginal posterior distribution. Our approach is applied to a real bladder cancer database for which we demonstrate how to investigate and interpret heterogeneity in prognostic index effect over centers. |
| اللغة: | English |
| تدمد: | 1380-7870 1572-9249 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b980cc2393503d4c10d7de5fd3c14e11Test https://hal.inrae.fr/hal-02658248Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....b980cc2393503d4c10d7de5fd3c14e11 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 13807870 15729249 |
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