Journal ArticleDOI
4. Modelling Survival Data in Medical Research
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This article is published in Journal of The Royal Statistical Society Series A-statistics in Society.The article was published on 1995-01-01. It has received 1092 citations till now. The article focuses on the topics: Medical research.read more
Citations
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Yaşam çözümlemesinde zamana bağlı açıklayıcı değişkenli Cox regresyon modeli Cox regression model with time dependent covariate in survival anaysis
TL;DR: Bu calismada, sabit ve zamana bagli aciklayici degiskenler durumunda Cox regresyon modelleri incelenmistir faktorlerin saptanmasinda yasam cozumlemesi CoxRegresyon modeli oldukca onemlidir.
Localizing and Understanding Mechanisms of Gender Differences Within Pathways Towards and Away from Science Degrees
TL;DR: In this paper, the authors identify the location and sources of persistent gender differences in pathways into and out of the sciences, with a special focus on an understudied population that drives many of the larger trends: undergraduate pre-medical students.
Journal ArticleDOI
A Generalized Log-Normal Model for Grouped Survival Data
TL;DR: In this paper, the generalized log-normal model was proposed as an alternative model for discrete survival data, which is extended in this article for grouped survival data. But, there may be situations in which none of the models are adequate for a particular data set.
A Cox-based Model for Predicting the Risk of Cardiovascular Disease
TL;DR: A 10-year CVD risk model based on multiple risk factors was developed in which heart rate was identified as one of the novel contributing risk factors, and achieved an acceptable discrimination and calibration with C-index being 0.71 from the validation dataset.
Dissertation
Penalised maximum likelihood estimation for multi-state models
Mariano Machado,Robson José +1 more
TL;DR: In this article, the authors proposed a method to estimate multi-state models with splines for interval-censored data using a penalised maximum likelihood method, which allows for parametric and semiparametric hazards specifications.
References
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Journal ArticleDOI
Mineral Metabolism, Mortality, and Morbidity in Maintenance Hemodialysis
Geoffrey A. Block,Preston S. Klassen,J. Michael Lazarus,Norma J. Ofsthun,Edmund G. Lowrie,Glenn M. Chertow +5 more
TL;DR: Hyperphosphatemia and hyperparathyroidism were significantly associated with all-cause, cardiovascular, and fracture-related hospitalization, and the population attributable risk percentage for disorders of mineral metabolism was 17.5%, owing largely to the high prevalence of hyperph phosphatemia.
Journal ArticleDOI
Overall Survival and Updated Results for Sunitinib Compared With Interferon Alfa in Patients With Metastatic Renal Cell Carcinoma
Robert J. Motzer,Thomas E. Hutson,Piotr Tomczak,M. Dror Michaelson,Ronald M. Bukowski,Stéphane Oudard,Sylvie Negrier,Cezary Szczylik,Roberto Pili,Georg A. Bjarnason,Xavier Garcia-del-Muro,Jeffrey A. Sosman,Ewa Solska,George Wilding,John A. Thompson,Sindy T. Kim,Isan Chen,Xin Huang,Robert A. Figlin +18 more
TL;DR: Sunitinib demonstrates longer overall survival compared with IFN-alpha plus improvement in response and progression-free survival in the first-line treatment of patients with metastatic RCC, highlighting an improved prognosis in patients with RCC in the era of targeted therapy.
Journal ArticleDOI
Neoadjuvant Chemotherapy or Primary Surgery in Stage IIIC or IV Ovarian Cancer
Ignace Vergote,Claes G. Tropé,Frédéric Amant,G.B. Kristensen,Tom Ehlen,N Johnson,René H.M. Verheijen,Maria E. L. van der Burg,A. J. Lacave,Pierluigi Benedetti Panici,Gemma G. Kenter,Antonio Casado,Cesar Mendiola,Corneel Coens,Leen Verleye,Gavin Stuart,Sergio Pecorelli,Nicholas Reed +17 more
TL;DR: Neoadjuvant chemotherapy followed by interval debulking surgery was not inferior to primary debulked surgery followed by chemotherapy as a treatment option for patients with bulky stage IIIC or IV ovarian carcinoma in this study.
Journal ArticleDOI
Survival and Prognostic Stratification of 670 Patients With Advanced Renal Cell Carcinoma
TL;DR: Five prognostic factors for predicting survival were identified and used to categorize patients with metastatic RCC into three risk groups, for which the median survival times were separated by 6 months or more.