2013
DOI: 10.2319/030113-174.1
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Orthodontic pain: an interaction between age and sex in early and middle adolescence

Abstract: Age and sex interaction has significant effect on orthodontic pain during adolescence, and 14- to 17-year-old girls experienced maximum pain.

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Cited by 28 publications
(43 citation statements)
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“…sex or dichotomized age) assuming that interest lies in detecting the same effect size for each binary group, and then doubling the estimated sample size to detect the interaction effect. 4,12 The parameter estimates (including time function regression coefficients, and BS and WS variance etc.) required for the power analysis were obtained from the authors of the previous study.…”
Section: Sample Size Estimationmentioning
confidence: 99%
See 4 more Smart Citations
“…sex or dichotomized age) assuming that interest lies in detecting the same effect size for each binary group, and then doubling the estimated sample size to detect the interaction effect. 4,12 The parameter estimates (including time function regression coefficients, and BS and WS variance etc.) required for the power analysis were obtained from the authors of the previous study.…”
Section: Sample Size Estimationmentioning
confidence: 99%
“…4 Briefly, in this approach, which is based on the power analysis for a 2 x 2 factorial design, 12 sample size is estimated for either of the binary coded groups (e.g. sex or dichotomized age) assuming that interest lies in detecting the same effect size for each binary group, and then doubling the estimated sample size to detect the interaction effect.…”
Section: Sample Size Estimationmentioning
confidence: 99%
See 3 more Smart Citations