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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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Agent-based discrete event simulation modeling and evolutionary real-time decision making for large-scale systems

TL;DR: This research develops a highly efficient evolutionary simulation-based decision making procedure which can be applied in real-time management situations and investigates a unique approach to validating low-probability, high-impact simulation systems based on a concrete example problem.
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Using Cure Models for Analyzing the Influence of Pathogens on Salmon Survival

TL;DR: Mixture cure models are fitted to the host–pathogen dynamics of Chinook Salmon Oncorhynchus tshawytscha and Coho Salmon O. kisutch and the myxozoan parasite Ceratomyxa shasta to provide better predictions of survival when a fraction of the population is expected to survive a disease outbreak.

Individual Failure Rate Modelling and Exploratory Failure Data Analysis for Power System Components

TL;DR: A set of vital societal functions such as health and safety are necessary for today's society to function and to secure the life of its individuals.
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Detecting Risk Of Postural hypotension (DROP): derivation and validation of a prediction score for primary care

TL;DR: The DROP score provides a simple method to identify people likely to have postural hypotension and increased risks to health who require further evaluation.
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Diagnostic tools in generalized Weibull linear regression models

TL;DR: In this article, Prudente and Cordeiro proposed some statistical tools for diagnosing the class of generalized Weibull linear regression models, which is an alternative means of analyzing positive, continuous and skewed data and, due to its statistical properties, is very competitive with gamma regression models.