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Research Studies is a monthly compilation of research articles funded by AHRQ or authored by AHRQ researchers and recently published in journals or newsletters.
Results1 to 2 of 2 Research Studies Displayed
Fu R, Holmer HK
Change score or follow-up score? Choice of mean difference estimates could impact meta-analysis conclusions.
This study assessed the impact of using change score vs. follow-up score on the conclusions of meta-analyses. It concluded that using the change vs. the follow-up score could lead to important discrepancies in conclusions. Sensitivity analyses should be conducted to check the robustness of results to the choice of mean difference estimates.
Citation: Fu R, Holmer HK . Change score or follow-up score? Choice of mean difference estimates could impact meta-analysis conclusions. J Clin Epidemiol 2016 Aug;76:108-17. doi: 10.1016/j.jclinepi.2016.01.034.
Keywords: Research Methodologies, Data, Outcomes
Schmid CH, Trikalinos Olkin, I
Bayesian network meta-analysis for unordered categorical outcomes with incomplete data.
The researchers developed a Bayesian multinomial network meta-analysis model for unordered (nominal) categorical outcomes that allows for partially observed data in which exact event counts may not be known for each category. Their model properly accounts for correlations of counts in mutually exclusive categories and enables proper comparison and ranking of treatment effects across multiple treatments and multiple outcomes categories.
Citation: Schmid CH, Trikalinos Olkin, I . Bayesian network meta-analysis for unordered categorical outcomes with incomplete data. Res Synth Methods 2014 Jun;5(2):162-85. doi: 10.1002/jrsm.1103..
Keywords: Comparative Effectiveness, Outcomes, Data