도서명: | 샘플 수의 계산 Sample size calculation - 통계의 첫 단추 |
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정 가: | |
판매가: | 23,750원 |
적립금: | 710원 (3%) |
저 자: | 김지형 |
출판사: | (주)대한의학서적 |
ISBN : | 9788994467764 |
출판일: | 2012.10 |
판 형: | Softcover |
수량: | |
판 수: | 1/판 |
면 수: | 161 page |
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샘플 수의 계산 Sample size calculation - 통계의 첫 단추 | ( 710) |
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의학서적전문 "성보의학서적"의 신간도서입니다.
-도서목차-
Chapter 01 t-test를 이용한 연구에서 샘플 수 계산
1. 선행연구 또는 pilot study · ····························································· 002
2. 웹 사이트에서 계산하기 ································································ 004
3. Piface 프로그램에서 계산하기 ·························································· 009
4. G*Power 프로그램에서 계산하기 ······················································· 0 1 1
5. 추적소실 계산 ········································································· 013
Chapter 02 t-test를 이용한 연구에서 사후 Power 계산
1. Piface 프로그램에서 계산하기 ·························································· 014
2. G*Power 프로그램에서 계산하기 ······················································· 016
3. 웹 사이트에서 계산하기 ································································ 017
Chapter 03 Paired t-test를 이용한 연구에서 샘플 수 계산
1. 선행연구 또는 pilot study · ····························································· 018
2. G*Power 프로그램에서 계산하기 ······················································· 018
3. 그외 다양한 프로그램 ·································································· 022
Chapter 04 t-test와 Paired t-test의 비모수 검정
1. G*Power 프로그램에서 계산하기 ······················································· 024
2. 웹 사이트에서 계산하기 ································································ 025
Chapter 05 카이제곱 검정을 이용한 연구에서 샘플 수 계산
1. 웹 사이트에서 계산하기 ································································ 027
2. Piface 프로그램에서 계산하기 ·························································· 031
3. R×C 카이제곱 검정 · ·································································· 032
4. 카이제곱 적합도 검정 ·································································· 033
Chapter 06 Mantel-Haenszel test를 이용한 연구에서 샘플 수 계산
Chapter 07 McNemar test를 이용한 연구에서 샘플 수 계산
1. McNemar test 이해하기 ······························································· 043
2. 웹 사이트와 G*Power에서 계산하기 ···················································· 045
3. McNemar test의 사후 Power 계산하기 · ················································ 053
Chapter 08 ANOVA를 이용한 연구에서 샘플 수 계산
1. ANOVA의 이해와 분산분석표 만들기 ··················································· 054
2. 분산분석표로 계산하기 ································································ 058
Chapter 09 RM ANOVA를 이용한 연구에서 샘플 수 계산
1. Repeated measures ANOVA의 이해 ··················································· 064
2. 샘플 수 계산하기 · ····································································· 071
Chapter 10 다중 회귀분석을 이용한 연구에서 샘플 수 계산
1. 단순상관분석 ·········································································· 075
2. 웹 사이트에서 계산하기 ································································ 076
3. 독립변수와 종속변수가 연속변수인 회귀분석 ··········································· 079
4. 더미변수가 독립변수인 회귀분석 · ······················································ 083
5. 두 회귀식의 차이 연구 ································································· 087
6. 두 회귀직선을 비교하는 연구에서 계산하기 ············································· 090
Chapter 11 Logistic regression을 이용한 연구에서 샘플 수 계산
1. G*Power 프로그램에서 계산하기 ······················································· 094
2. 웹 사이트에서 계산하기 ································································ 096
3. 카이제곱과 logistic regression 비교와 샘플 수 계산 ····································· 097
4. 한 가지 대안 · ········································································· 100
Chapter 12 생존분석을 이용한 연구에서 샘플 수 계산
1. 웹 사이트에서 계산하기 ································································ 102
2. PS 프로그램에서 계산하기 ····························································· 104
Chapter 13 ROC 커브를 이용한 연구에서 샘플 수 계산
Chapter 14 Poisson distribution을 이용한 연구에서 샘플 수 계산
Chapter 15 Effect size란 무엇인가?
1. Altman’s nomogram ··································································· 118
2. Lehr’s formula ········································································· 120
Chapter 16 비열등성 연구, 동등성 연구
Q&A 1 동등성 연구는 유의한 차이가 없다는 것을 보여 주는 것일까요? ···················· 121
Q&A 2 임상적으로 의미 있는 차이는 누가 어떤 기준으로 정할까요? ······················· 122
Q&A 3 우월성 연구에 통계적 의미가 없다면 비열등성 검사를 하면 되지 않나요? ·········· 123
Chapter 17 Retrospective power analysis가 필요한가?
1. P<0.05이면 Power>0.8인가? · ······················································· 126
Chapter 18 프로그램 설치 · ············································································· 136
1. G*Power 프로그램 · ··································································· 137
2. Piface 프로그램 · ······································································ 138
3. PS 프로그램 ·········································································· 141
예제 1 카이제곱 검정(Logistic regression) · ········································· 142
예제 2 카이제곱 검정(3군 비교+생존분석) ················································· 146
예제 3 카이제곱 검정(3군 비교) ···························································· 149
예제 4 t - test (1) ········································································ 152
예제 5 t - test (2) · ······································································· 154
예제 6 생존분석 Log rank test ························································ 156
예제 7 생존분석 · ·········································································· 158
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