382,525 papers found

Dr. Heinrich and colleagues raise concerns about our systematic review and meta-analysis (Li et al., 2022) regarding the literature screening principles, outcome data collection, and the cohort studies included in the sub-group analysis. We appreciate Dr. Heinrich and colleagues' review and suggestions on our paper (He…

This review describes essential concepts of network meta-analysis and indirect comparisons and their application to clinical science. There are an increasing number of systematic reviews and meta-analyses providing direct comparisons between different interventions, although this is often not feasible when there is a l…

As a statistical method integrating multi-features and multi-data, meta-analysis was introduced to the field of life science in the 1990s. With the rapid advances in high-throughput technologies, life omics, the core of which are genomics, transcriptomics and proteomics, is becoming the new hot spot of life science. Al…

Modern genetic association studies, using genome-wide genotype data, are often underpowered. Meta-analyses of multiple studies performing genome-wide genotyping improve power and have led to the identification of thousands of genotype-trait associations. This unit provides an overview of the key concepts required for g…

Evidence-based medicine mandates that the best available evidence should be used to inform clinical decision making. Though there is a paucity of high level evidence within paediatric surgery generally, randomised controlled trials in this age group have become more frequent recently. This article reviews the statistic…

In this article, sequential meta-analysis is presented as a method for determining the sufficiency of cumulative knowledge in single-case research synthesis. Sufficiency addresses the question of whether there is enough cumulative knowledge on a topic to yield convincing statistical evidence. The method combines cumula…

The wealth of medical research published on a yearly basis demands methods to summarize the literature. Narrative or expert reviews were the traditional method to provide this summary; however, biases associated with narrative reviews raise questions regarding whether this process provides sufficient evidence to guide…

A major goal in health communication and related disciplines is the building of cumulative knowledge across numerous lines of inquiry. Traditionally, attempts to synthesize research and build knowledge have been achieved through narrative or integrative research reviews. However, the advent of meta-analysis in the late…

This article is a broad review of the approaches, findings, and applications of meta-analyses on clinical neuropsychological topics. The review is divided into four sections: basic characteristics of meta-analysis; the value of meta-analysis for neuropsychological investigations; illustrative findings from various meta…

Quantification (meta-analysis) of the neuroscience evidence on schizophrenia shows very modest average differences between patient and control distributions across a great variety of measures and literatures. The strongest findings involve cognitive and psychophysiological measures. Several possible explanations for th…

Wise and colleagues (Ann. Hum. Genet. (1999) 63: 263-72) introduced a rank-based statistical technique for meta-analysis of genome scans, the Genome Scan Meta-Analysis (GSMA) method. We provide an alternative derivation of the null distribution of the GSMA statistic, with extensions, and we suggest approximations to th…

In meta-analysis, when the difference in results between studies is greater than would be expected by chance, one needs to investigate whether the observed variation in results across studies is associated with clinical and/or methodological differences between studies. This article reviews methods used in meta-analysi…