1990
DOI: 10.1111/j.1600-051x.1990.tb01060.x
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Efficiency of split‐mouth designs

Abstract: The purpose of this paper is (1) to investigate the similarity of the amount, distribution, and severity of periodontal disease of the within-patient experimental units, (2) to estimate the relative efficiencies of split-mouth designs when compared to whole-mouth designs, and (3) to discuss how stratification on initial pocket depth can result in large differences in the power of the test-statistics in the different disease categories. Periodontal disease characteristics are not always homogeneously distribute… Show more

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Cited by 61 publications
(36 citation statements)
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“…As compared with parallel-arm RCTs, split-mouth RCTs have the advantage that most of the variability of outcome among patients is removed from the intervention effect estimate for a potential increase in statistical power, each subject being its own control [4,5]. Because every subject receives each intervention, the design may also be better suited to determine patient preferences.…”
Section: Introductionmentioning
confidence: 99%
“…As compared with parallel-arm RCTs, split-mouth RCTs have the advantage that most of the variability of outcome among patients is removed from the intervention effect estimate for a potential increase in statistical power, each subject being its own control [4,5]. Because every subject receives each intervention, the design may also be better suited to determine patient preferences.…”
Section: Introductionmentioning
confidence: 99%
“…To overcome validity issues such as carry-over issues and asymmetric disease distribution[12] and to evaluate systemic/hematological inflammatory load due to periodontal disease and NSP treatment, whole mouth design was used for this study.…”
Section: Discussionmentioning
confidence: 99%
“…6 In addition, some researchers pointed out that the split-mouth design can only be more efficient than the parallel-group design when the within-patient correlation coefficient is substantial, where efficiency is determined in terms of the number of measurements needed. 7 However, relatively little attention has been paid in literature to the sample size consideration for the split-mouth design and a rigorous comparison with the parallel-group design is not available. This paper intends to fill this gap by developing closed-form sample size formulas to help clinicians on effectively designing a split-mouth study.…”
Section: Introductionmentioning
confidence: 99%