Literature DB >> 20057919

Statistical Power Calculations for Clustered Continuous Data.

A T Galecki1, T Burzykowski, S Chen, J A Faulkner, J Ashton-Miller.   

Abstract

To calculate the sample size for a research study it is important to take into account several aspects of the study design. In particular, one needs to take into account the hypotheses being tested, the study design, the sampling design, and the method to be used for the analysis. In this paper we propose a simple method to calculate sample size for clustered continuous data under various scenarios of study design.

Entities:  

Year:  2009        PMID: 20057919      PMCID: PMC2802347          DOI: 10.1504/IJKESDP.2009.021983

Source DB:  PubMed          Journal:  Int J Knowl Eng Soft Data Paradig        ISSN: 1755-3210


  1 in total

1.  Intentionally incomplete longitudinal designs: I. Methodology and comparison of some full span designs.

Authors:  R W Helms
Journal:  Stat Med       Date:  1992 Oct-Nov       Impact factor: 2.373

  1 in total
  2 in total

1.  Effects of high- and low-velocity resistance training on the contractile properties of skeletal muscle fibers from young and older humans.

Authors:  Dennis R Claflin; Lisa M Larkin; Paul S Cederna; Jeffrey F Horowitz; Neil B Alexander; Neil M Cole; Andrzej T Galecki; Shu Chen; Linda V Nyquist; Bruce M Carlson; John A Faulkner; James A Ashton-Miller
Journal:  J Appl Physiol (1985)       Date:  2011-07-28

2.  A systematic review of illness representation clusters in chronic conditions.

Authors:  Eleanor Rivera; Colleen Corte; Holli A DeVon; Eileen G Collins; Alana Steffen
Journal:  Res Nurs Health       Date:  2020-02-17       Impact factor: 2.228

  2 in total

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