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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.

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Mineral Metabolism, Mortality, and Morbidity in Maintenance Hemodialysis

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.
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Overall Survival and Updated Results for Sunitinib Compared With Interferon Alfa in Patients With Metastatic Renal Cell Carcinoma

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.
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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.
References
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Immune response and protective profile elicited by a multi-epitope chimeric protein derived from Leptospira interrogans

TL;DR: It is believed that the construction of chimeric genes is an important attempt towards the generation of an effective vaccine against leptospirosis, with a complete characterization of the immune response elicited by rChi/adjuvant in hamsters required.
Journal ArticleDOI

Sample size determination for clinical trials with co-primary outcomes: exponential event times.

TL;DR: Methods for calculating the sample size for randomized superiority clinical trials with two correlated time‐to‐event outcomes as co‐primary contrasts when the time-to-event outcomes are exponentially distributed are discussed.
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Survival Analysis of Breast Cancer Patients using Cox and Frailty Models

TL;DR: Both of the frailty and CPH model emphasis that the early detection of BC improves survival in BC patients, and both showed that, tumor characteristics and number of involved lymph nodes increase the mortality hazard of BC.