Overview Of Meta-analysis Research Articles

A Karnaugh map based approach towards systemic reviews and meta-analysis.

Studying meta-analysis and systemic reviews since long had helped us conclude numerous parallel or conflicting studies. Existing studies are presented in tabulated forms which contain appropriate information for specific cases yet it is difficult to visualize. On meta-analysis of data, this can lead to absorption and subsumption errors henceforth having undesirable potential of consecutive misunderstandings in social and operational methodologies. The purpose of this study is to investigate an alternate forum for meta-data presentation that relies on humans’ strong pictorial perception capability. Analysis of big-data is assumed to be a complex and daunting task often reserved on the computational powers of machines yet there exist mapping tools which can analyze such data in a hand-handled manner. Data analysis on such scale can benefit from the use of statistical tools like Karnaugh maps where all studies can be put together on a graph based mapping. Such a formulation can lead to more control in observing patterns of research community and analyzing further for uncertainty and reliability metrics. We present a methodological process of converting a well-established study in Health care to its equaling binary representation followed by furnishing values on to a Karnaugh Map. The data used for the studies presented herein is from Burns et al (J Publ Health 34(1):138–148, 2011) consisting of retrospectively collected data sets from various studies on clinical coding data accuracy. Using a customized filtration process, a total of 25 studies were selected for review with no, partial, or complete knowledge of six independent variables thus forming 64 independent cells on a Karnaugh map. The study concluded that this pictorial graphing as expected had helped in simplifying the overview of meta-analysis and systemic reviews.

The efficacy of using play therapy in children with behavior disorders: A meta-analysis overview

This study was a meta-analysis of the effect of play therapy that is used to overcome the problems of behavior disorders in children. Meta-analysis was performed using Cohen's effect size in 4 experimental research results obtained through EBSCOhost electronic journals, Proquest, and Google scholar. The study involved 98 participants in dealing with internalizing behavior problems and externalizing behavior problems. Participants in the study were divided into experimental group and control group. The calculations show the great effect size (d = 0.59). It shows that the play therapy provides a great influence in reducing behavioral disorders in children. While play therapy provides a great influence in dealing with internalizing behavior problems (d = 0.60) and externalizing behavior problems (d = 0.58).

Meta-analysis for psychiatric research using free software R.

SummaryThis paper provides a brief overview of meta-analysis (MA) with emphasis on classical fixedeffects and random-effects MA models. It illustrates the application of MA models with the open-source software R using publicly available data from five studies on lamotrigine to treat bipolar depression and finds that meta-analysis identifies a statistically significant advantage of lamotrigine over placebo that was not evident in the individual studies.

Bayesian meta-analysis using skewed elliptical distributions

Meta-analysis refers to a quantitative method for combining results from independent studies in order to draw overall conclusions. We consider hierarchical models including selection models under a skewed heavy tailed error distribution proposed originally by Chen, Dey, and Shao [M. H. Chen, D. K. Dey, Q. M. Shao, A new skewed link model for dichotomous quantal response data, J. Amer. Statist. Assoc. 94 (1983), pp. 1172–1186.] and Branco and Dey [D. Branco and D.K. Dey, A general class of multivariate skew-elliptical distributions, J. Multivariate Anal. 79, pp. 99–113.]. These rich classes of models combine the information of independent studies, allowing investigation of variability both between and within studies and incorporating weight functions. We constructed a detailed computational scheme under skewed normal and skewed Student's t distribution using the MCMC method. Bayesian model selection was conducted by Bayes factor under a different skewed error. Finally, we illustrated our methodology using a real data example taken from Johnson [M.F. Johnson, Comparative efficacy of Naf and SMFP dentifrices in caries prevention: a meta-analysis overview, J Eur. Organ. Caries Res. 27 (1993), pp. 328–336.].

Meta-analysis: overview and application to clinical nursing practice.

If nursing practice is to benefit from the abundance of nursing research being conducted, a technique is needed to synthesize and integrate the results of individual studies. Meta-analysis, a quantitative approach to literature review, is such a technique. This article provides an overview of meta-analysis. Examples of published meta-analysis studies in obstetric and neonatal nursing are discussed to illustrate the clinical significance of this technique.

Going beyond the narrative summarization of research findings: the meta-analysis approach.

Meta-analysis, a method for summarizing empirical studies, has been advocated in many areas of behavioral research. Expanding on existing literature, this article provides an overview of meta-analysis with particular emphasis on its strengths and limitations. Overall, the quantitative approaches employed in meta-analysis offer many advantages as a literature review procedure. Even if meta-analysis is not adopted as the literature review method, awareness of the issues it raises can improve the traditional narrative summarization approach.