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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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Journal ArticleDOI

Magnesium, Calcium, Potassium, and Sodium Intakes and Risk of Stroke in Male Smokers

TL;DR: Findings in male smokers suggest that a high magnesium intake may play a role in the primary prevention of cerebral infarction.
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An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era

TL;DR: Signature genes of predictive models are reciprocally transferable between microarray andRNA-seq data for model development, and microarray-based models can accurately predict RNA-seq-profiled samples; while RNA-sequencing-based model are less accurate in predicting micro array-Profiled samples and are affected both by the choice of modeling algorithm and the gene mapping complexity.
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Alcohol and postmenopausal breast cancer risk defined by estrogen and progesterone receptor status: a prospective cohort study.

TL;DR: The observed association between risk of developing postmenopausal ER+ breast cancer and alcohol drinking, especially among those women who use post menarche, first birth, and menopause, may be important, because the majority of breast tumors among post menopausal women overexpress ER.
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Metabolomics and Diabetes: Analytical and Computational Approaches

TL;DR: The metabolomics workflow, including analytical, statistical, and computational tools, is summarized, recent applications of metabolomics in diabetes research are highlighted, and the challenges in the field are discussed.
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Risk factors for disability pension in a population-based cohort of men and women on long-term sick leave in Sweden.

TL;DR: Besides socio-demographic risk factors, the sick-leave diagnoses constitute an important both medium and long-term predictor of disability pension among both men and women on long- term sickness absence.