Literature DB >> 14990827

Sample size estimation: a glimpse beyond simple formulas.

John Eng1.   

Abstract

Small increments in the complexity of clinical studies can readily take sample size estimation and statistical power analysis beyond the capabilities of simple mathematic formulas. In this article, the method of simulation is presented as a general technique with which sample size may be calculated for complex study designs. Applications of simulation for determining sample size requirements in studies involving correlated data and comparisons of receiver operating characteristic curves are discussed. Copyright RSNA, 2004

Mesh:

Year:  2004        PMID: 14990827     DOI: 10.1148/radiol.2303030297

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  8 in total

1.  Digital breast tomosynthesis is comparable to mammographic spot views for mass characterization.

Authors:  Mitra Noroozian; Lubomir Hadjiiski; Sahand Rahnama-Moghadam; Katherine A Klein; Deborah O Jeffries; Renee W Pinsky; Heang-Ping Chan; Paul L Carson; Mark A Helvie; Marilyn A Roubidoux
Journal:  Radiology       Date:  2011-10-13       Impact factor: 11.105

2.  The Interpretation of Statistical Power after the Data have been Gathered.

Authors:  John J Dziak; Lisa C Dierker; Beau Abar
Journal:  Curr Psychol       Date:  2018-10-02

3.  Experimental design and data analysis in receiver operating characteristic studies: lessons learned from reports in radiology from 1997 to 2006.

Authors:  Junji Shiraishi; Lorenzo L Pesce; Charles E Metz; Kunio Doi
Journal:  Radiology       Date:  2009-10-28       Impact factor: 11.105

4.  A practical solution to estimate the sample size required for clinical prediction models generated from observational research on data.

Authors:  Carlos Baeza-Delgado; Leonor Cerdá Alberich; José Miguel Carot-Sierra; Diana Veiga-Canuto; Blanca Martínez de Las Heras; Ben Raza; Luis Martí-Bonmatí
Journal:  Eur Radiol Exp       Date:  2022-06-01

5.  Translational biomarker discovery in clinical metabolomics: an introductory tutorial.

Authors:  Jianguo Xia; David I Broadhurst; Michael Wilson; David S Wishart
Journal:  Metabolomics       Date:  2012-12-04       Impact factor: 4.290

Review 6.  Simulation methods to estimate design power: an overview for applied research.

Authors:  Benjamin F Arnold; Daniel R Hogan; John M Colford; Alan E Hubbard
Journal:  BMC Med Res Methodol       Date:  2011-06-20       Impact factor: 4.615

7.  Multireader sample size program for diagnostic studies: demonstration and methodology.

Authors:  Stephen L Hillis; Kevin M Schartz
Journal:  J Med Imaging (Bellingham)       Date:  2018-11-30

8.  Sample size calculation for multicentre efficacy trials of blood-stage malaria antigens.

Authors:  Samuel Bosomprah
Journal:  Malar J       Date:  2013-07-19       Impact factor: 2.979

  8 in total

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