Sample size calculation for cross-over designs
교차 설계의 표본크기 계산법

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dc.description학위논문 (석사)-- 서울대학교 대학원 : 자연과학대학 통계학과, 2018. 2. 박태성.-
dc.description.abstractIn clinical research, it is important to compute an appropriate sample size. A sufficient sample size helps researchers convince the success of and intended trial. However, it costs a lot of money to recruit many subjects. So it is critical role to compute the optimal sample size n. A cross-over design(CD) is widely used for comparing effect of various treatment groups, because it has advantages of removing unexpected cause by subjects and reducing the number of subjects as subjects experience every treatment. From these advantages, we often use the CD to identify biomarkers that have differences by groups. While there are some method to determine the sample size for two groups in CDs, there is no method for comparing more than two groups. In this study, we propose a new method to compute the sample size of CDs with multiple groups as well as to be able to apply CDs with two treatment groups.-
dc.description.tableofcontents1 Introduction 1

2 Methodology 4
2.1 Model 4
2.2 Estimation 8
2.3 Hypothesis and Power function 12
2.4 Sample size calculation for cross-over designs 14

3 Examples 15
3.1 Sample size calculation for cross-over design with three treatments 16
3.2 Sample size calculation for cross-over design with four treatments 18
3.3 Results 20

4 Discussion 21

Bibliography 23
Abstract (Korean) 24
dc.format.extent491770 bytes-
dc.publisher서울대학교 대학원-
dc.subjectSample size calculation-
dc.subjectCross-over design-
dc.subjectOptimal sample size-
dc.titleSample size calculation for cross-over designs-
dc.title.alternative교차 설계의 표본크기 계산법-
dc.contributor.AlternativeAuthorYongjun Jo-
dc.contributor.affiliation자연과학대학 통계학과-
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College of Natural Sciences (자연과학대학)Dept. of Statistics (통계학과)Theses (Master's Degree_통계학과)
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