کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1083040 950980 2010 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Absolute risk reductions and numbers needed to treat can be obtained from adjusted survival models for time-to-event outcomes
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی سیاست های بهداشت و سلامت عمومی
پیش نمایش صفحه اول مقاله
Absolute risk reductions and numbers needed to treat can be obtained from adjusted survival models for time-to-event outcomes
چکیده انگلیسی

ObjectiveCox proportional hazards regression models are frequently used to determine the association between exposure and time-to-event outcomes in both randomized controlled trials and in observational cohort studies. The resultant hazard ratio is a relative measure of effect that provides limited clinical information.Study Design and SettingA method is described for deriving absolute reductions in the risk of an event occurring within a given duration of follow-up time from a Cox regression model. The associated number needed to treat can be derived from this quantity. The method involves determining the probability of the outcome occurring within the specified duration of follow-up if each subject in the cohort was treated and if each subject was untreated, based on the covariates in the regression model. These probabilities are then averaged across the study population to determine the average probability of the occurrence of an event within a specific duration of follow-up in the population if all subjects were treated and if all subjects were untreated.ResultsRisk differences and numbers needed to treat.ConclusionsAbsolute measures of treatment effect can be derived in prospective studies when Cox regression is used to adjust for possible imbalance in prognostically important baseline covariates.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Clinical Epidemiology - Volume 63, Issue 1, January 2010, Pages 46–55
نویسندگان
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