1974
DOI: 10.1111/j.1600-0765.1974.tb01778.x
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Use of analysis of covariance in periodontal clinical trials

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Cited by 20 publications
(8 citation statements)
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“…Statistical analysis was based on whole‐mouth average MGI scores and whole‐mouth total GBI scores. The effects on MGI scores and total bleeding scores, of the experimental SnF 2 /SHMP dentifrice and the negative control dentifrice, were analysed for treatment group differences using analysis of covariance methods with the appropriate baseline value as the covariate (Lehnhoff & Grainger 1974). All statistical tests were two sided and treatment comparison results were reported as statistically significant if the test p ‐value was 0.05.…”
Section: Methodsmentioning
confidence: 99%
“…Statistical analysis was based on whole‐mouth average MGI scores and whole‐mouth total GBI scores. The effects on MGI scores and total bleeding scores, of the experimental SnF 2 /SHMP dentifrice and the negative control dentifrice, were analysed for treatment group differences using analysis of covariance methods with the appropriate baseline value as the covariate (Lehnhoff & Grainger 1974). All statistical tests were two sided and treatment comparison results were reported as statistically significant if the test p ‐value was 0.05.…”
Section: Methodsmentioning
confidence: 99%
“…The data from this study were analyzed by covariance analyses (Lehnhoff & Grainger 1974) using each examiner's own baseline score as the covariate with the exception of GI examiner B who graded only at the 3month time point. Since GI examiner B had no baseline examination for use as a covariate, his data were analyzed by application of the nonparametric Wilcoxon 2-Sample Test.…”
Section: Slatislica! Analysesmentioning
confidence: 99%
“…In general, trials designed to examine a critical treatment difference (such as a 10% clinical difference between NaF and SMFP for example) are sized to be able to detect the treatment difference at 95% (alpha) and 80% (beta) confidence [71], What this means, in a practical sense, is that a genuine treatment difference of 10% would be expected to be observed as significant (p < 0.05 -95% confidence) about 8 out of 10 times. In terms of analysis, conventional methods of ANOVA or paired comparisons are typically used, and co-variance adjustment of final treatment results is becom ing more commonplace [72], Tables 6 and 7 provide detailed analyses of design variables and factors associated with clinical trials examining NaF/SMFP relative efficacy in head-to-head and dual active comparisons. Tables 3 and 4 list initial DMFS scores associ ated with each of the clinical trials, as mentioned previously.…”
Section: Study Population Characteristicsmentioning
confidence: 99%