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Meta-analysis and power: Some suggestions for the use of power in research synthesis (2003)
Journal Article
Muncer, S., Craigie, M., & Holmes, J. (2003). Meta-analysis and power: Some suggestions for the use of power in research synthesis. Understanding statistics, 2(1), 1-12

The importance of statistical power is under recognized both in single study research and meta-analysis. The power of a study is the probability that it will lead to a statistically significant result. A simple method of establishing the adequacy of... Read More about Meta-analysis and power: Some suggestions for the use of power in research synthesis.

Power dressing and meta-analysis: Incorporating power analysis into meta-analysis (2002)
Journal Article
Muncer, S., Taylor, S., & Craigie, M. (2002). Power dressing and meta-analysis: Incorporating power analysis into meta-analysis. Journal of Advanced Nursing, 38(3), 274-280. https://doi.org/10.1046/j.1365-2648.2002.02177.x

Aims. This paper highlights the lack of consideration that is given to power in the health and social sciences, which is a continuing problem with both single study research and more importantly for meta-analysis. Background. The power of a study is... Read More about Power dressing and meta-analysis: Incorporating power analysis into meta-analysis.

Reliability of health information on the Internet: An examination of experts’ ratings (2002)
Journal Article
Craigie, M., Loader, B., Burrows, R., & Muncer, S. (2002). Reliability of health information on the Internet: An examination of experts’ ratings. Journal of Medical Internet Research, 4(1), https://doi.org/10.2196/jmir.4.1.e2

Background: The use of medical experts in rating the content of health-related sites on the Internet has flourished in recent years. In this research, it has been common practice to use a single medical expert to rate the content of the Web sites. In... Read More about Reliability of health information on the Internet: An examination of experts’ ratings.

Predicting length of stay in hospital after brain injury (2002)
Journal Article
Craigie, M., Shah, S., & Muncer, S. (2002). Predicting length of stay in hospital after brain injury. British journal of therapy & rehabilitation, 9(1), 30-32. https://doi.org/10.12968/bjtr.2002.9.1.13597

It is very useful to have good predictive measures of rehabilitation outcome so that limited resources can be allocated efficiently. This paper reports a cross-validation of a regression equation that predicts length of hospital stay from a patient's... Read More about Predicting length of stay in hospital after brain injury.