Sample size estimation for cluster randomized controlled trials

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Sample size calculations for randomized controlled trials.

Most informed consent documents for randomized controlled trials implicitly or explicitly promise the prospective participant that the trial has a reasonable chance of answering a medically important question. The medical literature, however, is replete with descriptions of trials that provided equivocal answers to the questions they addressed. Papers describing the results of such studies may ...

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Important considerations in calculating and reporting of sample size in randomized controlled trials

Background: The calculation of the sample size is one of the most important steps in designing a randomized controlled trial. The purpose of this study is drawing the attention of researchers to the importance of calculating and reporting the sample size in randomized controlled trials.    Methods: We reviewed related literature and guidelines and discussed some important issues in s...

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Simple sample size calculation for cluster-randomized trials.

BACKGROUND Cluster-randomized trials, in which health interventions are allocated randomly to intact clusters or communities rather than to individual subjects, are increasingly being used to evaluate disease control strategies both in industrialized and in developing countries. Sample size computations for such trials need to take into account between-cluster variation, but field epidemiologis...

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Methods for sample size determination in cluster randomized trials

BACKGROUND The use of cluster randomized trials (CRTs) is increasing, along with the variety in their design and analysis. The simplest approach for their sample size calculation is to calculate the sample size assuming individual randomization and inflate this by a design effect to account for randomization by cluster. The assumptions of a simple design effect may not always be met; alternativ...

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Package 'crtsize' Title Sample Size Estimation Functions for Cluster Randomized Trials

Description This package contains basic tools for the purpose of sample size estimation in cluster (group) randomized trials. The package contains traditional power-based methods, empirical smoothing (Rotondi and Donner, 2009), and updated meta-analysis techniques (Rotondi and Donner, 2011).

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ژورنال

عنوان ژورنال: Musculoskeletal Science and Practice

سال: 2018

ISSN: 2468-7812

DOI: 10.1016/j.msksp.2017.10.002