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Interpreting hazard ratios [PDF]
BMJ, 2015 The impact of isoniazid prophylaxis on mortality and tuberculosis in children with HIV was investigated using a double blind placebo controlled trial. The intervention was isoniazid given with co-trimoxazole either daily or three times a week. Control treatment was placebo isoniazid given with co-trimoxazole.
Katherine Joekes, Philip Sedgwick
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Estimation of the average hazard ratio
Biometrika, 1981SUMMARY Simple estimators of the average hazard ratio are obtained for the two sample problem with censored failure time data. These estimators are compared with estimators arising out of the partial likelihood within the proportional hazards class. Efficiency results are found to be generally quite favourable provided the hazard ratio is not too large.
J. Kalbfleisch, R. Prentice
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International Encyclopedia of Statistical Science, 2005 The two-sample proportional hazards model is studied and a series of semiparametric estimators for the (constant) hazard ratio are presented. These include both Cox's maximum partial likelihood estimator and explicit rank-type estimators.
P. Andersen
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An explanation of the hazard ratio
Pharmaceutical Statistics, 2004Several months ago someone attended a course for non-statisticians that I was running and said, ‘If I can go away from this course understanding what a hazard ratio is then it will have been worthwhile!’ Well, here goes. The hazard ratio, like the odds ratio, is not only difficult to explain but its use and interpretation continue to confuse both ...
R. Kay
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Hazards and hazard ratios [PDF]
BMJ, 2012 Researchers investigated the risk of colorectal cancer after screening with flexible sigmoidoscopy. A randomised controlled study was undertaken in Norway with a population based sample. The intervention consisted of once only flexible sigmoidoscopy screening with or without a single round of faecal occult blood testing.
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Nonparametric Estimation of the Hazard Ratio
Journal of the American Statistical Association, 1984Abstract A nonparametric estimate of the hazard ratio function is developed and applied to the time-dependent survival advantage of having achieved an objective response to treatment for a given disease. The method computes the total exposure to risk of failure, or dying, among patients in either of two disease states (nonresponder/responder).
H. Thaler
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Bayesian analysis for monotone hazard ratio
Lifetime Data Analysis, 2010We propose a Bayesian approach for estimating the hazard functions under the constraint of a monotone hazard ratio. We construct a model for the monotone hazard ratio utilizing the Cox's proportional hazards model with a monotone time-dependent coefficient.
Gwangsu Kim, Yongdai Kim, Jin Kyung Park
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On Hazard Ratios and Magnitude of Impact on Prognosis
Annals of Surgery, 2009[Sergeant, Gregory; Topal, Baki] Katholieke Univ Leuven Hosp, Dept Abdominal Surg, Louvain, Belgium. [Fieuws, Steffen] Katholieke Univ Leuven, I Biostat, Louvain, Belgium. [Fieuws, Steffen] Univ Hasselt, Louvain, Belgium.
Koert P. de Jong +2 more
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BMJ, 2011
Researchers investigated the extent to which referral from primary care for defined symptoms of hip pain varied by age, sex, and social deprivation in the United Kingdom. A cohort study design was used. Data for individual patients registered at 326 general practices between 2001 and 2007 were extracted from the health improvement network database in ...
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Researchers investigated the extent to which referral from primary care for defined symptoms of hip pain varied by age, sex, and social deprivation in the United Kingdom. A cohort study design was used. Data for individual patients registered at 326 general practices between 2001 and 2007 were extracted from the health improvement network database in ...
openaire +2 more sources
Hazards of Hazard Ratios — Deviations from Model Assumptions in Immunotherapy
New England Journal of Medicine, 2018Look Beyond Hazard Ratios Many trials are based on the proportional-hazards assumption that an event is equally likely in different treatment groups over time and deviations are related to the intervention. Full Kaplan–Meier estimates from earlier trials may be more informative than summary statistics.
Brian M. Alexander +2 more
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