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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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Treatment of the critically ill patient with protein C: Is it worth the cost?

TL;DR: The results support the PROWESS study, in that patients with a very severe disease, having low protein C levels, may benefit from protein C treatment in a cost effective way.
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Identification of outcome-related driver mutations in cancer using conditional co-occurrence distributions

TL;DR: VALORATE is a novel algorithm for the estimation of the null distribution for the log-rank, independent of the number of mutations, based on conditional distributions of the co-occurrences between events and mutations, which suggests that it is accurate, fast, and can identify both known and novel gene mutations.
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Competing risks, left truncation and late entry effect in A-bomb survivors cohort.

TL;DR: In this paper, a Weibull distribution was used to determine the possible existence of a late entry effect in Hiroshima A-bomb survivors living in Hiroshima Prefecture since 1968, where the survival experience of the late entrants to the cohort is significantly different from the registered population in 1968.
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Single-Cell Force Spectroscopy of Interaction of Lipopolysaccharides from Yersinia pseudotuberculosis and Yersinia pestis with J774 Macrophage Membrane Using Optical Tweezers

TL;DR: In this article, the role of lipopolysaccharides (LPS) from outer bacterial membrane at the initial state of bacterium adhesion to a host cell membrane was investigated.
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Confidence Intervals Estimation for Survival Function in Log-Logistic Distribution and Proportional Odds Regression Based on Censored Survival Time Data

TL;DR: In this study, a confidence interval is formed on confidence interval for log-logistic distribution survival function for any values of the time provided that the survival times have a log- logistic distributed random variable.
References
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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.