In this article, we describe a new individual patient data meta-analysis postestimation command, ipdforest. The command produces a forest plot following a one-stage meta-analysis with xtmixed or xtmelogit. (These commands have been renamed in Stata 13 to mixed and meqrlogit, respectively; ipdforest is currently not compatible with the new names.) The overall effect is obtained from the preceding mixed-effects regression and the study effects from linear or logistic regressions on each study, which are executed within ipdforest
<p>Forest plot of the meta-analysis for MBP changes between CCB and ARB groups.</p
<p>Forest plot for pooled data analysis (upper panel), forest plot after removal of studies using sa...
Randomized clinical trials provide the most reliable estimates of the benefits and harms of treatmen...
In this article, I describe a command, ipdmetan, that facilitates twostage individual participant da...
Meta-analytic datasets can be large, especially when in primary studies multiple effect sizes are re...
Remarks and examples stata.com Stata does not have a meta-analysis command. Stata users, however, ha...
<p>Forest plot showing the meta-analysis of hazard ratio estimates for OS in overall patients.</p
Background: Meta-analyses are necessary to synthesize data obtained from primary research, and in ma...
(A) Postoperative JOA trend chart; (B) Postoperative JOA forest plot about clinical trials; (C) Post...
<p>A is the forest plot and B, C, and D are the “filled” funnel plots of OS, DFS, and the unclear gr...
<p><b>Note</b>: Forest plot displaying an inverse-variance weighted random-effect meta-analysis. The...
Randomized clinical trials provide the most reliable estimates of the benefits and harms of treatmen...
- An IPD (Individual Participant Data) meta-analysis requires collecting original individual patient...
This article describes updates of the meta-analysis command metan and options that have been added s...
<p>The plot displays the study, sample size, weighted risk ratio (RR), confidence interval (CI), and...
<p>Forest plot of the meta-analysis for MBP changes between CCB and ARB groups.</p
<p>Forest plot for pooled data analysis (upper panel), forest plot after removal of studies using sa...
Randomized clinical trials provide the most reliable estimates of the benefits and harms of treatmen...
In this article, I describe a command, ipdmetan, that facilitates twostage individual participant da...
Meta-analytic datasets can be large, especially when in primary studies multiple effect sizes are re...
Remarks and examples stata.com Stata does not have a meta-analysis command. Stata users, however, ha...
<p>Forest plot showing the meta-analysis of hazard ratio estimates for OS in overall patients.</p
Background: Meta-analyses are necessary to synthesize data obtained from primary research, and in ma...
(A) Postoperative JOA trend chart; (B) Postoperative JOA forest plot about clinical trials; (C) Post...
<p>A is the forest plot and B, C, and D are the “filled” funnel plots of OS, DFS, and the unclear gr...
<p><b>Note</b>: Forest plot displaying an inverse-variance weighted random-effect meta-analysis. The...
Randomized clinical trials provide the most reliable estimates of the benefits and harms of treatmen...
- An IPD (Individual Participant Data) meta-analysis requires collecting original individual patient...
This article describes updates of the meta-analysis command metan and options that have been added s...
<p>The plot displays the study, sample size, weighted risk ratio (RR), confidence interval (CI), and...
<p>Forest plot of the meta-analysis for MBP changes between CCB and ARB groups.</p
<p>Forest plot for pooled data analysis (upper panel), forest plot after removal of studies using sa...
Randomized clinical trials provide the most reliable estimates of the benefits and harms of treatmen...