Code:
* Example generated by -dataex-. To install: ssc install dataex clear input float(or ll ul) .29 .03 3.12 5.09 .5 52.29 .35 .16 .74 .18 .08 .55 1.24 .52 2.96 .17 .07 .43 .71 .14 3.66 .58 .25 1.36 .4 .24 .66 .01 0 .21 .82 .27 2.54 1.44 .37 5.67 .61 .29 1.28 .59 .34 1.04 .46 .1 2.05 .5 .17 1.54 .98 .56 1.72 end
Code:
. admetan or ll ul
Studies included: 17
Participants included: Unknown
Meta-analysis pooling of aggregate data
using the fixed-effect inverse-variance model
--------------------------------------------------------------------
Study | Effect [95% Conf. Interval] % Weight
---------------------+----------------------------------------------
1 | 0.290 0.030 3.120 0.21
2 | 5.090 0.500 52.290 0.00
3 | 0.350 0.160 0.740 6.00
4 | 0.180 0.080 0.550 9.14
5 | 1.240 0.520 2.960 0.34
6 | 0.170 0.070 0.430 15.57
7 | 0.710 0.140 3.660 0.16
8 | 0.580 0.250 1.360 1.64
9 | 0.400 0.240 0.660 11.44
10 | 0.010 0.000 0.210 45.76
11 | 0.820 0.270 2.540 0.39
12 | 1.440 0.370 5.670 0.07
13 | 0.610 0.290 1.280 2.06
14 | 0.590 0.340 1.040 4.12
15 | 0.460 0.100 2.050 0.53
16 | 0.500 0.170 1.540 1.08
17 | 0.980 0.560 1.720 1.50
---------------------+----------------------------------------------
Overall effect | 0.193 0.122 0.264 100.00
--------------------------------------------------------------------
Test of overall effect = 0: z = 5.336 p = 0.000
Heterogeneity Measures
---------------------------------------------------------
| Value df p-value
---------------------+-----------------------------------
Cochran's Q | 39.61 16 0.001
I² (%) | 59.6%
Modified H² | 1.475
tau² | 0.0420
---------------------------------------------------------
I² = between-study variance (tau²) as a percentage of total variance
Modified H² = ratio of tau² to typical within-study varianceCode:
. meta set or ll ul
confidence intervals not symmetric
CIs defined by variables ll and ul must be symmetric and based on a normal distribution. If you are
working with effect sizes such as odds ratios, risk ratios, or hazard ratios, the CIs should be
specified on the log scale.
r(459);Thank you,
Janet
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