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Kline, David; Andridge, Rebecca; Kaizar, Eloise – Research Synthesis Methods, 2017
When conducting research synthesis, the collection of studies that will be combined often do not measure the same set of variables, which creates missing data. When the studies to combine are longitudinal, missing data can occur on the observation-level (time-varying) or the subject-level (non-time-varying). Traditionally, the focus of missing…
Descriptors: Comparative Analysis, Longitudinal Studies, Outcomes of Education, Regression (Statistics)
Shuster, Jonathan J.; Neu, Josef – Research Synthesis Methods, 2013
Three recent papers have provided sequential methods for meta-analysis of two-treatment randomized clinical trials. This paper provides an alternate approach that has three desirable features. First, when carried out prospectively (i.e., we only have the results up to the time of our current analysis), we do not require knowledge of the…
Descriptors: Meta Analysis, Randomized Controlled Trials, Infants, Effect Size
Schünemann, Holger J.; Tugwell, Peter; Reeves, Barnaby C.; Akl, Elie A.; Santesso, Nancy; Spencer, Frederick A.; Shea, Beverley; Wells, George; Helfand, Mark – Research Synthesis Methods, 2013
The terms applicability, generalizability, external validity and transferability are related, sometimes used interchangeably and have in common that they lack a clear and consistent definition in the classic epidemiological literature. However, all of these terms generally describe one overarching theme: whether or not available research evidence…
Descriptors: Intervention, Randomized Controlled Trials, Literature Reviews, Comparative Analysis
Kulinskaya, Elena; Wood, John – Research Synthesis Methods, 2014
Statistical methods for sequential meta-analysis have applications also for the design of new trials. Existing methods are based on group sequential methods developed for single trials and start with the calculation of a required information size. This works satisfactorily within the framework of fixed effects meta-analysis, but conceptual…
Descriptors: Research Methodology, Statistical Analysis, Meta Analysis, Sample Size

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