Meta-Analysis
Copyright ©2013 Baishideng.
World J Meta-Anal. Aug 26, 2013; 1(2): 57-77
Published online Aug 26, 2013. doi: 10.13105/wjma.v1.i2.57
Table 5 Amount smoked by current smokers - fitted values of β1 and SE, and P values for goodness-of-fit tests for the best-fitting power model and log-with-baseline model
Block: StudyLog-with-baseline model1log RR = β1 [1 + (8.10c/10)]
Power model1log RR = β1 [(c/10)0.34]
β1SE β1P (fit)2β1SE β1P (fit)2
1: AKIBA0.65990.0712NS1.48820.1609NS
2: AKIBA0.60990.0660NS1.34450.1453NS
3: ARCHER0.67130.1274NS1.49320.2835NS
4: AXELSS1.32450.2214NS2.97700.4976NS
5: BENSHL0.71330.1169NS1.63370.2688NS
6: BEST0.56780.08240.00001.34830.19480.0001
7: BOUCOT0.83320.2140NS1.74390.4482NS
8: BRETT0.66370.1146NS1.49460.2575NS
9: BROSS0.60900.0735NS1.35140.1634NS
10: BUFFLE0.93490.1040NS2.08100.2313NS
11: CEDERL0.81910.0726NS1.83880.1634NS
12: CEDERL0.76970.0693NS1.68330.1520NS
13: CHANG0.67720.1522NS1.50440.3402NS
14: CHANG0.62550.1165NS1.39370.2595NS
15: CHOW1.00020.1050NS2.21340.2311NS
16: COMSTO0.84970.1552NS1.84910.3399NS
17: COMSTO0.88570.1172NS1.95600.2601NS
18: CORREA0.99450.0483NS2.20520.1069NS
19: CPSI0.83140.03480.00021.82780.07730.0000
20: CPSII0.82620.03310.00001.84670.07390.0000
21: CPSII0.89720.03040.01531.98740.06770.0006
22: DARBY0.81980.12130.00001.90850.27700.0000
23: DARBY1.08790.0841NS2.44340.1879NS
24: DEAN30.82710.07240.00091.89680.16390.0042
25: DEAN30.86170.0801(0.0569)1.91520.17890.0368
26: DEKLER0.57040.1839NS1.31140.4155NS
27: DOLL21.04640.0644(0.0824)2.35310.1443NS
28: DOLL21.10010.1698NS2.44240.37450.0091
29: DORANT1.10820.08670.03222.51830.19720.0270
30: DORGAN0.97280.0937NS2.18140.2101NS
31: DORGAN1.41680.1835NS3.15570.4086NS
32: DORGAN0.96360.0595NS2.14180.1325NS
33: DORGAN1.03590.1844NS2.29760.4094NS
34: DORN0.90240.01710.00012.00990.03810.0000
35: ENGELA1.00830.1270NS2.30430.2995NS
36: ENGELA1.08970.15610.02062.56540.3553NS
37: ENSTRO0.82610.03120.00001.79100.06840.0000
38: ENSTRO0.82290.02520.00001.83680.05640.0000
39: GAO20.70370.1042NS1.55260.2304NS
40: GILLIS0.58110.0729NS1.27040.1614NS
41: HAENSZ0.33820.0805NS0.75630.1796NS
42: HAMMO20.51980.11670.01121.18700.26410.0138
43: HAMMON0.80320.07480.00381.81850.16770.0116
44: HIRAYA0.59740.0337NS1.33740.0756NS
45: HIRAYA0.44240.0501NS0.97290.1100NS
46: HITOSU0.45730.1182NS1.03240.2654NS
47: HITOSU0.49880.1223NS1.09920.2686NS
48: HOLE0.61420.1082NS1.34100.2413NS
49: HUMBLE1.04350.1431NS2.33860.3207NS
50: HUMBLE1.03780.2633NS2.33060.5907NS
51: HUMBLE0.89220.1393NS1.99970.3114NS
52: HUMBLE1.22680.2487NS2.73180.5532NS
53: KAISE20.75990.1018NS1.69910.2278NS
54: KAISE21.00980.1107NS2.25920.2478NS
55: KAISER0.76850.04770.02471.61300.10100.0033
56: KAISER0.68820.0570NS1.49320.1238NS
57: KANELL0.89820.06470.00001.97580.14420
58: KATSOU0.45170.1260NS1.00890.2809NS
59: KAUFMA1.07120.0583NS2.35600.1278NS
60: KINLEN0.60210.06160.00171.38380.13990.0055
61: KNEKT0.86440.1264NS1.96180.2876NS
62: KOO0.43090.1424NS0.92990.3133NS
63: LIAW0.55380.0918NS1.23840.2045NS
64: LIDDEL0.51360.0742NS1.15350.1666NS
65: MACLEN0.49730.1511NS1.08750.3355NS
66: MACLEN0.43010.1161NS0.93500.2577NS
67: MATOS0.83150.1122NS1.83900.2485NS
68: MIGRAN0.45900.1448NS1.05680.3286NS
69: MIGRAN0.72460.2207NS1.65470.4987NS
70: MRFITR0.63820.22250.03381.19840.44610.0152
71: NAM0.68830.0711NS1.51570.1569NS
72: NAM0.84810.0690NS1.88090.1532NS
73: PARKIN0.61290.0554NS1.35560.1222NS
74: PERSH20.84200.03810.00041.90650.08540.0446
75: PETO0.62620.1606NS1.46510.3737NS
76: PEZZO21.36410.12510.00512.97840.27100.0118
77: PEZZOT1.54830.15690.00053.40450.34150.0014
78: PRESCO0.82890.1002(0.0759)1.93050.2318NS
79: PRESCO0.73830.0942NS1.67250.2122NS
80: SEGI20.56790.0991NS1.28490.2208NS
81: SEGI20.15030.1297NS0.35130.2865NS
82: SHAW1.13260.1121NS2.52980.2509NS
83: SOBUE0.40480.0594NS0.88930.1309NS
84: SPEIZE0.87720.0390NS1.95090.0870NS
85: STOCKW0.88220.0096NS1.93830.0210NS
86: SVENSS0.92550.1158NS2.04790.2573NS
87: TENKAN0.62110.10920.00011.44070.24840.0003
88: TSUGAN0.11040.1169NS0.24610.2574NS
89: TULINI1.00190.0901NS2.23940.2008NS
90: TULINI1.24890.0862(0.0728)2.84470.19830.0098
91: TVERDA0.60630.0773NS1.36570.1746NS
92: TVERDA0.93090.1838NS2.12440.4198NS
93: WAKAI0.67760.1099(0.0831)1.50730.2430NS
94: WU0.59160.1017NS1.31830.2263NS
95: WYNDE60.91810.0373NS2.02370.0820NS
96: WYNDE60.97960.03710.01022.17670.08250.0060
97: YAMAGU0.66080.1223NS1.47560.2723NS