scispace - formally typeset
Journal ArticleDOI

4. Modelling Survival Data in Medical Research

About
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
More filters
Journal ArticleDOI

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.
Journal ArticleDOI

DegreeCox – a network-based regularization method for survival analysis

TL;DR: DegreeCox is a method that applies network-based regularizers to infer Cox proportional hazard models, when the features are genes and the outcome is patient survival, and is proposed to use network centrality measures to constrain the model in terms of significant genes.
Journal ArticleDOI

Glycemia, Insulin Resistance, Insulin Secretion, and Risk of Depressive Symptoms in Middle Age

TL;DR: Low insulin secretion appears to be a risk factor for DepS in middle-aged women, although further work is required to confirm this finding.
References
More filters
Journal ArticleDOI

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.
Journal ArticleDOI

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.
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.