data/Nam03.R

In mikewlcheung/metasem: Meta-Analysis using Structural Equation Modeling

Nam03 <-
structure(list(ID = c(3, 4, 6, 8, 10, 11, 14, 16, 17, 19, 20, 
22, 24, 25, 26, 28, 29, 32, 36, 37, 38, 40, 43, 44, 49, 50, 51, 
52, 54, 56, 57, 59, 61, 63, 65, 69, 71, 75, 76, 78, 79, 80, 81, 
82, 83, 84, 85, 88, 89, 93, 105, 109, 111, 113, 114, 122, 601, 
603, 603), Size = c(1285, 470, 1077, 550, 850, 892, 1232, 3048, 
2216, 535, 5953, 159, 9678, 318, 343, 11534, 10106, 443, 12727, 
257, 511, 253, 1503, 7677, 1001, 961, 1138, 5412, 925, 2554, 
4665, 1501, 1143, 483, 8154, 2077, 8585, 301, 153, 3072, 4331, 
1215, 708, 620, 126, 228, 914, 16562, 15712, 3482, 192, 726, 
372, 684, 207, 700, 9653, 3769, 2540), Age = c(1.1, 9, 6.7, 1.7, 
9.4, 10.9, 9.5, 1, 8.6, 6.5, 0.5, 1, 5, 8.2, 9.5, 9.5, 7.5, 3.8, 
2.5, 7.5, 2.5, 1, 13, 14, 7, 13.5, 9, 9.2, 7, 9.5, 13.5, 9.5, 
1, 1, 4.6, 0.5, 7, 1, 10.9, 8.5, 2.5, 2, 10.5, 10, 9, 8.5, 3.5, 
8, 5, 8.4, 0.8, 16.3, 7, 9, 9.3, 7.9, 9, 9, 9), Year = c(1987, 
1994, 1995, 1995, 1996, 1996, 1996, 1997, 1997, 1995, 1987, 1986, 
1989, 1995, 1995, 1996, 1984, 1992, 1987, 1989, 1995, 1995, 1997, 
1995, 1988, 1995, 1983, 1997, 1997, 1995, 1997, 1991, 1981, 1989, 
1995, 1974, 1993, 1988, 1989, 1982, 1990, 1993, 1994, 1995, 1991, 
1992, 1993, 1991, 1995, 1986, 1992, 1996, 1980, 1988, 1992, 1992, 
1997, 1997, 1997), Country = c("English or Scotland", "Scandanavia or Netherlands", 
"English or Scotland", "Scandanavia or Netherlands", "Other (Israel, Turkey, South Africa, Mexico or U. Arab Emirates", 
"USA or Canada", "Japan, Hong Kong or Malaysia", "Scandanavia or Netherlands", 
"English or Scotland", "Japan, Hong Kong or Malaysia", "Scandanavia or Netherlands", 
"USA or Canada", "English or Scotland", "Other (Israel, Turkey, South Africa, Mexico or U. Arab Emirates", 
"USA or Canada", "USA or Canada", "USA or Canada", "New Zealand or Australia", 
"English or Scotland", "English or Scotland", "Scandanavia or Netherlands", 
"New Zealand or Australia", "English or Scotland", "Other (Israel, Turkey, South Africa, Mexico or U. Arab Emirates", 
"English or Scotland", "English or Scotland", "USA or Canada", 
"Other (Israel, Turkey, South Africa, Mexico or U. Arab Emirates", 
"USA or Canada", "Scandanavia or Netherlands", "Japan, Hong Kong or Malaysia", 
"Japan, Hong Kong or Malaysia", "New Zealand or Australia", "English or Scotland", 
"New Zealand or Australia", "English or Scotland", "New Zealand or Australia", 
"USA or Canada", "USA or Canada", "USA or Canada", "USA or Canada", 
"English or Scotland", "New Zealand or Australia", "Scandanavia or Netherlands", 
"Scandanavia or Netherlands", "USA or Canada", "USA or Canada", 
"English or Scotland", "English or Scotland", "USA or Canada", 
"Scandanavia or Netherlands", "Other (Israel, Turkey, South Africa, Mexico or U. Arab Emirates", 
"USA or Canada", "Scandanavia or Netherlands", "USA or Canada", 
"USA or Canada", "Scandanavia or Netherlands", "Scandanavia or Netherlands", 
"Scandanavia or Netherlands"), Smoke = c("Parental exposure", 
"Parental exposure", "Parental exposure", "Parental exposure", 
"Parental exposure", "Parental exposure", "Parental exposure", 
"Parental exposure", "Household exposure", "Parental exposure", 
"Parental exposure", "Parental exposure", "Parental exposure", 
"Parental exposure", "Parental exposure", "Household exposure", 
"Parental exposure", "Parental exposure", "Parental exposure", 
"Household exposure", "Parental exposure", "Parental exposure", 
"Parental exposure", "Parental exposure", "Household exposure", 
"Parental exposure", "Parental exposure", "Household exposure", 
"Household exposure", "Household exposure", "Household exposure", 
"Household exposure", "Parental exposure", "Parental exposure", 
"Parental exposure", "Parental exposure", "Parental exposure", 
"Household exposure", "Parental exposure", "Parental exposure", 
"Parental exposure", "Household exposure", "Household exposure", 
"Parental exposure", "Parental exposure", "Household exposure", 
"Parental exposure", "Parental exposure", "Parental exposure", 
"Parental exposure", "Parental exposure", "Parental exposure", 
"Parental exposure", "Household exposure", "Household exposure", 
"Parental exposure", "Household exposure", "Household exposure", 
"Household exposure"), Adj = c(0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 
1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 
1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 
0, 1, 0, 0, 1, 1, 1), Asthma_logOR = c(0.385262400790645, NA, 
0.350656871613169, NA, 0.246860077931526, -0.0202027073175195, 
-0.0943106794712413, NA, -0.27443684570176, 0.300104592450338, 
NA, NA, -0.0408219945202552, 0.336472236621213, NA, -0.0202027073175195, 
NA, NA, NA, NA, 0.524728528934982, NA, NA, 0.157003748809665, 
NA, NA, NA, 0.300104592450338, 0.470003629245736, -0.562118918153541, 
NA, 0.0953101798043249, NA, NA, NA, NA, 0.19062035960865, NA, 
NA, 0.398776119957368, 0.741937344729377, 0.78845736036427, 0.336472236621213, 
1.02961941718116, 0.940007258491471, 0.693147180559945, 0.357674444271816, 
NA, NA, 0.139761942375159, NA, NA, NA, -0.0725706928348354, 0.357674444271816, 
0.350656871613169, 0.444685821261446, 0.0953101798043249, -0.356674943938732
), LRD_logOR = c(NA, 0.0392207131532813, NA, 0.609765571620894, 
NA, NA, NA, 0.418710334858185, NA, NA, 0.993251773010283, 0.693147180559945, 
0.048790164169432, NA, 0.85015092936961, 0.122217632724249, -0.0202027073175195, 
1.93296963777958, 0.378436435720245, 0.993251773010283, NA, -0.328504066972036, 
0.122217632724249, 0.139761942375159, 0.0392207131532813, 0.0198026272961797, 
0.00995033085316809, 0.22314355131421, 0.53062825106217, NA, 
0.0392207131532813, 0.182321556793955, 0.0392207131532813, 0.476234178996372, 
0.198850858745165, 0.500775287912489, NA, 0.688134638736401, 
0.924258901523332, NA, NA, NA, NA, NA, NA, NA, NA, 0.300104592450338, 
0.285178942233662, 0.215111379616945, 1.18784342239605, 1.47247205736094, 
1.7732559976635, 0.22314355131421, NA, NA, NA, NA, NA), Asthma_v = c(0.0729, 
NA, 0.0225, NA, 0.0529, 0.0484, 0.0729, NA, 0.0225, 0.36, NA, 
NA, 0.0144, 0.1296, NA, 0.0121, NA, NA, NA, NA, 0.0289, NA, NA, 
0.0036, NA, NA, NA, 0.0081, 0.0784, 0.1089, NA, 0.0121, NA, NA, 
NA, NA, 0.0016, NA, NA, 0.0256, 0.0529, 0.0441, 0.0361, 0.1521, 
0.1369, 0.0841, 0.0324, NA, NA, 0.0169, NA, NA, NA, 0.0016, 0.1089, 
0.0361, 0.0196, 0.0529, 0.1849), AsthmaLRD_cov_05 = c(NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.0054, NA, NA, 0.0033, 
NA, NA, NA, NA, NA, NA, NA, 6e-04, NA, NA, NA, 0.00405, 0.0448, 
NA, NA, 0.00825, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, 0.0052, NA, NA, NA, 0.0022, NA, NA, NA, 
NA, NA), LRD_v = c(NA, 0.04, NA, 0.0324, NA, NA, NA, 0.0144, 
NA, NA, 0.04, 0.0576, 0.0081, NA, 0.0784, 0.0036, 0.0036, 0.2116, 
0.01, 0.1369, NA, 0.2601, 0.0196, 4e-04, 0.0361, 0.0169, 0.0121, 
0.0081, 0.1024, NA, 0.0049, 0.0225, 1e-04, 0.0529, 0.0016, 0.0441, 
NA, 0.1225, 0.1521, NA, NA, NA, NA, NA, NA, NA, NA, 0.09, 0.0361, 
0.0064, 0.25, 0.2209, 1.0609, 0.0121, NA, NA, NA, NA, NA)), .Names = c("ID", 
"Size", "Age", "Year", "Country", "Smoke", "Adj", "Asthma_logOR", 
"LRD_logOR", "Asthma_v", "AsthmaLRD_cov_05", "LRD_v"), class = "data.frame", row.names = c(NA, 
-59L))