1. S m o k I n g_m e t a 자료분석
20106119 김현철
20106117 김한얼
20106155 이형민
20106133 심재훈

2. SmoKING

3. DISEASE

4. Meta_analysis
> smoking
qt tt qc tc
Blondal89 37 92 24 90
Campbell91 21 107 21 105
Fagerstrom82 30 50 23 50
Fee82 23 180 15 172
Garcia89 21 68 5 38
실패 or 성공
Garvey00 75 405 17 203
Gross95 37 131 6 46
Hall85 18 41 10 36
연구자 이름 + 연구 시기
Hall87 30 71 14 68
Hall96 24 98 28 103
Hjalmarson84 31 106 16 100
Huber88 31 54 11 60
Jarvis82 22 58 9 58
Jensen91 90 211 28 82
Killen84 16 44 6 20
Killen90 129 600 112 617
Malcolm80 6 73 3 121
McGovern92 51 146 40 127
Qt, tt, qc, tc
Nakamura90 13 30 5 30
Niaura94 5 84 4 89
Pirie92 75 206 50 211
Puska79 29 116 21 113
Schneider85 9 30 6 30
Tonnesen88 23 60 12 53
Villa99 11 21 10 26
Zelman92 23 58 18 58

5. Meta_analysis
> install.packages("rmeta")
> help(package="rmeta")
패키지 설치
> library(rmeta)
> smoking.OR<-
치환
meta.MH(smoking[,"tt"],smoking[,"tc"],smoking[,"
qt"],
smoking[,"qc"], names = rownames(smoking))
> smoking.DSL<-
meta.DSL(smoking[,"tt"],smoking[,"tc"],smoking[,
"qt"],
smoking[,"qc"],names=rownames(smoking)) MH – Fixed
DSL – Random

6. > summary(smoking.OR) > summary(smoking.DSL)
Fixed effects ( Mantel-Haenszel ) meta-analysis Random effects ( DerSimonian-Laird ) meta-analysis
Call: meta.MH(ntrt = smoking[, "tt"], nctrl = smoking[, "tc"], ptrt = Call: meta.DSL(ntrt = smoking[, "tt"], nctrl = smoking[, "tc"], ptrt
smoking[,"qt"], pctrl = smoking[, "qc"], names = =
rownames(smoking)) smoking[,"qt"], pctrl = smoking[, "qc"], names =
------------------------------------ rownames(smoking))
OR (lower 95% upper) ------------------------------------
Blondal89 1.85 0.99 3.46 OR (lower 95% upper)
Campbell91 0.98 0.50 1.92 Blondal89 1.85 0.99 3.46
Fagerstrom82 1.76 0.80 3.89 Campbell91 0.98 0.50 1.92
Fee82 1.53 0.77 3.05 Fagerstrom82 1.76 0.80 3.89
Garcia89 2.95 1.01 8.62 Fee82 1.53 0.77 3.05
Garvey00 2.49 1.43 4.34 Garcia89 2.95 1.01 8.62
Gross95 2.62 1.03 6.71 Garvey00 2.49 1.43 4.34
Hall85 2.03 0.78 5.29 Gross95 2.62 1.03 6.71
Hall87 2.82 1.33 5.99 Hall85 2.03 0.78 5.29
Hall96 0.87 0.46 1.64 Hall87 2.82 1.33 5.99
Hjalmarson84 2.17 1.10 4.28 Hall96 0.87 0.46 1.64
Huber88 6.00 2.57 14.01 Hjalmarson84 2.17 1.10 4.28
Jarvis82 3.33 1.37 8.08 Huber88 6.00 2.57 14.01
Jensen91 1.43 0.84 2.44 Jarvis82 3.33 1.37 8.08
Killen84 1.33 0.43 4.15 Jensen91 1.43 0.84 2.44
Killen90 1.23 0.93 1.64 Killen84 1.33 0.43 4.15
Malcolm80 3.52 0.85 14.54 Killen90 1.23 0.93 1.64
McGovern92 1.17 0.70 1.94 Malcolm80 3.52 0.85 14.54
Nakamura90 3.82 1.15 12.71 McGovern92 1.17 0.70 1.94
Niaura94 1.34 0.35 5.19 Nakamura90 3.82 1.15 12.71
Pirie92 1.84 1.20 2.82 Niaura94 1.34 0.35 5.19
Puska79 1.46 0.78 2.75 Pirie92 1.84 1.20 2.82
Schneider85 1.71 0.52 5.62 Puska79 1.46 0.78 2.75
Tonnesen88 2.12 0.93 4.86 Schneider85 1.71 0.52 5.62
Villa99 1.76 0.55 5.64 Tonnesen88 2.12 0.93 4.86
Zelman92 1.46 0.68 3.14 Villa99 1.76 0.55 5.64
------------------------------------ Zelman92 1.46 0.68 3.14
Mantel-Haenszel OR =1.67 95% CI ( 1.47,1.9 ) ------------------------------------
Test for heterogeneity: X^2( 25 ) = 34.9 ( p-value 0.09 ) SummaryOR= 1.75 95% CI ( 1.48,2.07 )
Test for heterogeneity: X^2( 25 ) = 34.87 ( p-value 0.0905 )
Estimated random effects variance: 0.05

7. Meta_analysis
그래프를 그린다
> layout(matrix(1:2, ncol=2))
> plot(smoking.OR)
> plot(smoking.DSL)
Layout 1:2
Plot

8. RESULT