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Isojarvi, Jaana; Wood, Hannah; Lefebvre, Carol; Glanville, Julie – Research Synthesis Methods, 2018
Clinical trial data are essential for assessments of the effectiveness of health care interventions. Information about ongoing or completed, but not yet formally published, trials has been more difficult to identify until the development of clinical trials registers and portals. This paper summarises research evidence on identifying sources of…
Descriptors: Medical Research, Outcomes of Treatment, Intervention, Health Services
Anderson, Patricia F.; Shannon, Carol; Bickett, Skye; Doucette, Joanne; Herring, Pamela; Kepsel, Andrea; Lyons, Tierney; McLachlan, Scott; Wu, Lin – Research Synthesis Methods, 2018
When the Medical Library Association identified questions critical for the future of the profession, it assigned groups to use systematic reviews to find the answers to these questions. Group 6, whose question was on emerging technologies, recognized early on that the systematic review process would not work well for this question, which looks…
Descriptors: Case Studies, Comparative Analysis, Medical Research, Medical Libraries
Hong, Hwanhee; Chu, Haitao; Zhang, Jing; Carlin, Bradley P. – Research Synthesis Methods, 2016
Bayesian statistical approaches to mixed treatment comparisons (MTCs) are becoming more popular because of their flexibility and interpretability. Many randomized clinical trials report multiple outcomes with possible inherent correlations. Moreover, MTC data are typically sparse (although richer than standard meta-analysis, comparing only two…
Descriptors: Bayesian Statistics, Meta Analysis, Outcomes of Treatment, Comparative Analysis
Edwardes, Michael D. deB. – Research Synthesis Methods, 2014
Conventional meta-analysis estimators are weighted means of study measures, meant to estimate an overall population measure. For measures such as means, mean differences and risk differences, a weighted arithmetic mean is the conventional estimator. When the measures are ratios, such as odds ratios, logarithms of the study measures are most…
Descriptors: Meta Analysis, Acquired Immunodeficiency Syndrome (AIDS), Medical Research, Geometry
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
Verde, Pablo E.; Ohmann, Christian – Research Synthesis Methods, 2015
Researchers may have multiple motivations for combining disparate pieces of evidence in a meta-analysis, such as generalizing experimental results or increasing the power to detect an effect that a single study is not able to detect. However, while in meta-analysis, the main question may be simple, the structure of evidence available to answer it…
Descriptors: Randomized Controlled Trials, Bayesian Statistics, Comparative Analysis, Evidence