a<p>Number of comparisons.</p>b<p><i>P</i> value of Q-test for heterogeneity test. Random-effects model was used when <i>P</i>-value for heterogeneity test<0.05; otherwise, fix-effects model was used.</p
a<p>Model: If the <i>Q-</i>statistic was significant (P<0.01), we selected random effects model for ...
a<p>Model: If the <i>Q-</i>statistic was significant (P<0.01), we selected random effects model for ...
a<p>Model: If the <i>Q-</i>statistic was significant (<i>P</i><0.01), we selected random effects mod...
<p>*The Q statistic was used to estimate heterogeneity, and a <i>P</i>≤0.10 was considered statistic...
<p>P(h-t), P-value for heterogeneity test. Random-effects model was used when the p-value for hetero...
<p>P(h-t), P-value for heterogeneity test. Random-effects model was used when the p-value for hetero...
†<p><i>P<sub>h</sub></i>, <i>P-</i>value for heterogeneity test.</p>‡<p>Random-effects model was use...
a<p>Random-effects model was used when the p-value for heterogeneity test<0.10, otherwise the fixed-...
<p>OR: odds ratio; CI: confidence interval. The results were in bold, if the 95% CI excluded 1 or <i...
<p>The results were in bold, if the <i>P</i><0.05.</p>*<p><i>P</i> values for heterogeneity test. If...
<p>Heterogeneity chi-squared = 11.91 (d.f. = 6), <i>P</i> = 0.064; test of RR = 1∶z = 4.29, <i>P</i>...
a<p>Number of comparisons;</p>b<p>recessive model differ from other models in these respects;</p>c<p...
The conditional use of the random-effects model as the primary choice of inference is common practic...
Choice of the appropriate model in meta-analysis is often treated as an empirical question which is ...
<p>Meta-analysis results by different categories, showing the number observations used, the pooled e...
a<p>Model: If the <i>Q-</i>statistic was significant (P<0.01), we selected random effects model for ...
a<p>Model: If the <i>Q-</i>statistic was significant (P<0.01), we selected random effects model for ...
a<p>Model: If the <i>Q-</i>statistic was significant (<i>P</i><0.01), we selected random effects mod...
<p>*The Q statistic was used to estimate heterogeneity, and a <i>P</i>≤0.10 was considered statistic...
<p>P(h-t), P-value for heterogeneity test. Random-effects model was used when the p-value for hetero...
<p>P(h-t), P-value for heterogeneity test. Random-effects model was used when the p-value for hetero...
†<p><i>P<sub>h</sub></i>, <i>P-</i>value for heterogeneity test.</p>‡<p>Random-effects model was use...
a<p>Random-effects model was used when the p-value for heterogeneity test<0.10, otherwise the fixed-...
<p>OR: odds ratio; CI: confidence interval. The results were in bold, if the 95% CI excluded 1 or <i...
<p>The results were in bold, if the <i>P</i><0.05.</p>*<p><i>P</i> values for heterogeneity test. If...
<p>Heterogeneity chi-squared = 11.91 (d.f. = 6), <i>P</i> = 0.064; test of RR = 1∶z = 4.29, <i>P</i>...
a<p>Number of comparisons;</p>b<p>recessive model differ from other models in these respects;</p>c<p...
The conditional use of the random-effects model as the primary choice of inference is common practic...
Choice of the appropriate model in meta-analysis is often treated as an empirical question which is ...
<p>Meta-analysis results by different categories, showing the number observations used, the pooled e...
a<p>Model: If the <i>Q-</i>statistic was significant (P<0.01), we selected random effects model for ...
a<p>Model: If the <i>Q-</i>statistic was significant (P<0.01), we selected random effects model for ...
a<p>Model: If the <i>Q-</i>statistic was significant (<i>P</i><0.01), we selected random effects mod...
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