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Sample size calculation for cross-over designs : 교차 설계의 표본크기 계산법
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 박태성 | - |
dc.contributor.author | 조용준 | - |
dc.date.accessioned | 2018-05-29T05:09:55Z | - |
dc.date.available | 2018-05-29T05:09:55Z | - |
dc.date.issued | 2018-02 | - |
dc.identifier.other | 000000149488 | - |
dc.identifier.uri | https://hdl.handle.net/10371/142473 | - |
dc.description | 학위논문 (석사)-- 서울대학교 대학원 : 자연과학대학 통계학과, 2018. 2. 박태성. | - |
dc.description.abstract | In 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.tableofcontents | 1 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 | application/pdf | - |
dc.format.extent | 491770 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | Sample size calculation | - |
dc.subject | Cross-over design | - |
dc.subject | Optimal sample size | - |
dc.subject.ddc | 519.5 | - |
dc.title | Sample size calculation for cross-over designs | - |
dc.title.alternative | 교차 설계의 표본크기 계산법 | - |
dc.type | Thesis | - |
dc.contributor.AlternativeAuthor | Yongjun Jo | - |
dc.description.degree | Master | - |
dc.contributor.affiliation | 자연과학대학 통계학과 | - |
dc.date.awarded | 2018-02 | - |
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