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Hoi-Jeong Lim

Publications and source records attributed to Hoi-Jeong Lim.

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Estimating sample size in dental research

Determination of sample size is critical, however not easy to do. Sample size defined as the number of observations in a sample should be big enough to have a high likelihood of detecting a true difference between groups. Practical procedure for determining sample size, using G*power and previous dental articles, is shown in this study. Examples involving independent t-test, paired t-test, one-way analysis of variance(ANOVA), and one-way repeated-measures(RM) ANOVA are used. The purpose of this study is to enable researchers with non-statistical backgrounds to use in practice freely available statistical software G*power to determine sample size and power.

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Step-by-Step Guide to Conducting Meta-Analysis of Dichotomous Outcomes Using RevMan in Dental Research Step-by-Step Guide to Conducting Meta-Analysis of Dichotomous Outcomes Using RevMan in Dental Research

Meta-analysis is a statistical method that combines the results of individual studies on the same topic. This method is becoming popular, due to providing the combined result that individual studies cannot provide and giving a more precise result. Despite meta-analysis having such significance, there are few Korean guides for the use of the Review Manager (RevMan) software. This study will provide a step-by-step guide, using orthodontic mini-screw as a dental example, to help researcher carry out meta-analysis more easily and accurately.

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Meta-analysis in dental research

Recently, importance of meta-analysis is increasing in the field of dentistry, since it is not easy to settle controversies arising from conflicting studies. Meta-analysis is the statistical method of combining results from two or more individual studies that have been done on the same topic. Merits of meta-analysis includes an increase in power, an improvement in precision, and the ability to address solution not provided by individual studies. However, it might mislead researchers when variation across studies and publication bias are not carefully taken into consideration. The purpose of this study is to help understand meta-analysis by making use of individual results in dental research paper.

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A step-by-step guide to generalized estimating equations using SPSS in the field of dentistry

The Generalized Estimating Equations (GEE) approach is a widely used statistical method for analyzing longitudinal data and clustered data in clinic studies. In dentistry, due to multiple outcomes obtained from one patient, the outcomes produced from individual patients are correlated with one another. This study focuses on the basic ideas of GEE and introduces the types of covariance matrix and working correlation matrix. The quasi-likelihood information criterion(QIC) and quasi-likelihood information criterion approximation(QICu) were used to select the best working matrix and the best fitting model for the correlated outcomes.

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Prognostic factors associated with success rates of posterior orthodontic miniscrew implant

Three electronic searches were conducted to obtain articles in English limited to clinical human studies published prior to March 2015. The outcome measure was the success of MIs. Patient factors included age, gender, and jaw; the MI factors included length and diameter. A metaanalysis was then performed based on 17 individual studies. The quality of each study was assessed for nonrandomized studies and quantified using the NewcastleOttawa Scale. The outcome of the metaanalysis was a combined OR. Subgroup and sensitivity analyses based on the study design, study quality, and sample size of MI were performed.

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