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Statistics in practice. Comparing the means of several groups.
The New England Journal of Medicine
|December 5, 1985
Summary
Many medical studies incorrectly use multiple t-tests to compare group means. Choosing appropriate statistical methods is crucial for accurate analysis of multiple group comparisons.
Area of Science:
- Biostatistics
- Medical Research Methodology
Background:
- Comparing means across multiple groups is common in medical literature.
- Multiple t-tests are frequently, yet inappropriately, used for this purpose.
Purpose of the Study:
- To evaluate the appropriateness of statistical methods used for comparing group means in medical publications.
- To highlight the need for improved statistical practices in medical research.
Main Methods:
- Analysis of statistical methods employed in 50 Original Articles published in the Journal in 1978-1979.
- Focus on methods used for comparing the means of several groups.
Main Results:
- 54% (27 out of 50) of the examined articles used inappropriate statistical methods for analyzing differences between group means.
- The choice of statistical method should align with the specific research questions being asked.
Conclusions:
- Medical investigators require better understanding and application of statistical techniques for multiple comparisons.
- Appropriate statistical methods are essential for valid interpretation of group mean differences.