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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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The Exponentiated Half-Logistic Family of Distributions: Properties and Applications

TL;DR: This work studies some mathematical properties of a new generator of continuous distributions with two extra parameters called the exponentiated half-logistic family and derives explicit expressions for the ordinary and incomplete moments, quantile and generating functions, probability weighted moments, Bonferroni and Lorenz curves, Shannon and Renyi entropies, and order statistics, which hold for any baseline model.
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Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies

TL;DR: Statistical approaches adopted in the Emerging Risk Factors Collaboration, in which primary data from more than 1 million participants in more than 100 prospective studies have been collated to enable detailed analyses of various risk markers in relation to incident cardiovascular disease outcomes, are described.
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The comparison of alternative smoothing methods for fitting non-linear exposure-response relationships with Cox models in a simulation study.

TL;DR: No one method performed best according to all four measures of performance, however, all methods performed reasonably well and the model fit was best for P-splines for almost all true positive scenarios, although fractional polynomials and RCS were least biased, on average.
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Long-term survival of persons ventilator dependent after spinal cord injury.

TL;DR: The key factors related to long-term survival were age, time since injury, neurologic level, and degree of completeness of injury; the life expectancies were modestly lower than previous estimates.
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Forecasting and stress testing credit card default using dynamic models

TL;DR: It is found that dynamic models which include behavioural data about credit card holders and macroeconomic conditions across the credit card lifetime provide statistically significant improvements in model fit, which translate into better forecasts of default at both account and portfolio levels when applied to an out-of-sample data set.