کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1082938 950976 2008 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The binomial distribution of meta-analysis was preferred to model within-study variability
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی سیاست های بهداشت و سلامت عمومی
پیش نمایش صفحه اول مقاله
The binomial distribution of meta-analysis was preferred to model within-study variability
چکیده انگلیسی

ObjectiveWhen studies report proportions such as sensitivity or specificity, it is customary to meta-analyze them using the DerSimonian and Laird random effects model. This method approximates the within-study variability of the proportion by a normal distribution, which may lead to bias for several reasons. Alternatively an exact likelihood approach based on the binomial within-study distribution can be used. This method can easily be performed in standard statistical packages. We investigate the performance of the standard method and the alternative approach.Study Design and SettingWe compare the two approaches through a simulation study, in terms of bias, mean-squared error, and coverage probabilities. We varied the size of the overall sensitivity or specificity, the between-studies variance, the within-study sample sizes, and the number of studies. The methods are illustrated using a published meta-analysis data set.ResultsThe exact likelihood approach performs always better than the approximate approach and gives unbiased estimates. The coverage probability, in particular for the profile likelihood, is also reasonably acceptable. In contrast, the approximate approach gives huge bias with very poor coverage probability in many cases.ConclusionThe exact likelihood approach is the method of preference and should be used whenever feasible.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Clinical Epidemiology - Volume 61, Issue 1, January 2008, Pages 41–51
نویسندگان
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