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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Languages: English
Types: Article
Subjects: RA
Sample size is an element of research design that significantly affects the validity and clinical relevance of the findings identified in research studies. Factors that influence sample size include the effect size, or difference expected between groups or time points, the homogeneity of the study participants, the risk of error that investigators consider acceptable and the rate of participant attrition expected during the study. Appropriate planning in regard to each of these elements optimises the likelihood of finding an important result that is both clinically and statistically meaningful.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1. Ferrie S, East V. Managing diarrhoea in intensive care. Australian Critical Care (2007) 20, 7-13 2. Fernandez R.S, Davidson P., Griffiths R., Juergens C., Stafford B., Salamonson Y. A pilot randomised controlled trial comparing a health-related lifestyle self-management intervention with standard cardiac rehabilitation following an acute cardiac event: Implications for a larger clinical trial. Australian Critical Care (2009) 22, 17-27
    • 3. Chapter 2: Sample size. http://vanbelle.org/chapters%5Cwebchapter2.pdf. Accessed 30 November 2011.
    • 4. http://www.jerrydallal.com/LHSP/SIZE.HTM. Accessed 10 October 2011.
    • 5. Miller, Rupert G. (1981) Simultaneous statistical inference . 2nd ed. Springer Verlag, pages 6-8 6. Department of Biostatistics, Vanderbilt University; http://biostat.mc.vanderbilt.edu/wiki/Main/ManuscriptChecklist. Accessed 10 October 2011.
    • 7. Green, S.B. How many subjects does it take to do a regression analysis? Multivariate Behavioral Research, 1991, 26, 499-510
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