Abstract
Statement of problem
The aim of dental research is to advance scientific knowledge and leads to improvement in the treatment and prevention of dental disease. Utilizing an effective research design and adequate statistical methods are essential procedures ensuring that the results of researches are based on evidences. A research should utilize proper statistical methods without statistical errors; Otherwise, it could adversely affect clinical practice and future research.
Purpose
This study was made to investigate the statistical methods used in the Journal of Korean Academy of Prosthodontics (JKAP) and then to assess them for the statistical errors.
Material and methods
Among the total of 399 articles in the JKAP published from 2000 to 2006, 292 articles using statistics were reviewed. The validity of the statistical methods used in them were assessed using a checklist based on the guideline for statistical reporting in the uniform requirements for manuscripts submitted to biomedical journals by International Committee of Medical Journal Editors. The checklist consisted of three categories of statistical errors: 1) Unspecified computer statistical packages, 2) Inadequate description of statistical methods, 3) Misuse of statistical terms. Then, the results were compared between the Korean version and the English version in the JKAP.
Results
Among the 212 articles using statistics in the Korean version, 115 articles (54%) and among the 80 articles using statistics in the English version, 47 articles (59%) were shown to have unspecified computer statistical packages without statistically significant difference (P = .66). Likewise, 101 articles (48%) in the Korean version and 25 articles (31%) in the English version were shown to have the inadequate description of statistical methods without statistically significant difference (P = .09). However, 114 articles (54%) in the Korean version and 19 articles (24%) in the English version were shown to have the misuse of statistical terms with statistically significant difference (P = .01).
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Table I.
Table II.
Table III.
Statistical technique | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | Total |
---|---|---|---|---|---|---|---|---|
t-test | 1 | 3 | 1 | 3 | 5 | 4 | 17 | |
ANOVA | 4 | 8 | 8 | 12 | 12 | 9 | 8 | 61 |
Correlation | 1 | 1 | 3 | 5 | ||||
Regression | 1 | 2 | 3 | |||||
Nonparametric | 2 | 8 | 1 | 3 | 2 | 3 | 1 | 20 |
Multivariate | ||||||||
Others* | 1 | 1 | 1 | 3 | ||||
Undefined | ||||||||
Total | 7 | 17 | 13 | 16 | 18 | 19 | 19 | 109 |
Table IV.
Category of statistical errors | Korean version | English version | χ 2value (P-value) | ||
---|---|---|---|---|---|
No.(%) | Articles using | No.(%) | Articles using | ||
95% Confidence Interval | statistics | 95% Confidence Interval | statistics | ||
Unspecified computer statistical packages | 115 (54) | 212 | 47 (59) | 80 | 0.195 (P = .66) |
0.48 - 0.61 | 0.43 - 0.75 | ||||
Inadequate description of statistical methods | 102 (48) | 212 | 26 (33) | 80 | 2.841 (P = .09) |
0.41 - 0.55 | 0.22 - 0.43 | ||||
Misuse of statistical terms | 114 (54) | 212 | 19 (24) | 80 | 10.369 (P = .01)∗ |
0.47 - 0.60 | 0.14 - 0.33 |
Table V.
Table VI.
Statistical packages | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | Total |
---|---|---|---|---|---|---|---|---|
SPSS | 2 | 4 | 2 | 2 | 5 | 4 | 8 | 27 |
SAS | 1 | 1 | 2 | 4 | ||||
Microsoft Excel | 1 | 1 | ||||||
Statgraphics plus | 1 | 1 | ||||||
SigmaStat for Windows | ||||||||
Minitab | ||||||||
Total | 3 | 5 | 2 | 3 | 6 | 4 | 10 | 33 |