382,215 papers found

Meta-analysis is a powerful tool to summarize knowledge. Pairwise or network meta-analysis may be carried out with multivariate models that account for the dependence between treatment estimates and quantify the correlation across studies. From a different perspective, meta-analysis may be viewed as a special case of m…

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Lo´ pez-Valverde N, Lo´ pez-Valverde A and Blanco Rueda JA (2024) The role of probiotic therapy on clinical parameters and human immune response in peri‑implant diseases: a systematic review and meta-analysis of randomized clinical studies. Front. Immunol. 1…

Systematic reviews and meta-analyses (SR/MA) are becoming essential tools in the fields of musculoskeletal research and cancer-related bone diseases. This chapter provides a guide on how to design and conduct an SR/MA for basic science researchers and healthcare professionals who are learning the methodology. The step-…

In this chapter, we summarize the key principles involved in designing and conducting a rigorous systematic review focused on an intervention question. We provide key definitions on what systematic reviews and meta-analysis are and how they differ from other types of reviews. We cover the principles for designing a goo…

Structural equation models play an important role in the social sciences. Consequently, there is an increasing use of meta-analytic methods to combine evidence from studies that estimate the parameters of structural equation models. Two approaches are used to combine evidence from structural equation models: A direct a…

In this interview, we discuss my early uses of meta-analytic procedures, first to combine p-values and then to combine effect sizes as well. My interest in quantifying the magnitude and the statistical significance of the effect of interpersonal expectations probably grew out of the following: (1) a long-held interest…

Multivariate meta-analysis is gaining prominence in evidence synthesis research because it enables simultaneous synthesis of multiple correlated outcome data, and random-effects models have generally been used for addressing between-studies heterogeneities. However, coverage probabilities of confidence regions or inter…

Currently there is a steady growth of scientific information in medicine which unable complete knowledge of all the articles published. Meta-analysis are studies that aim to compile all available information, grouping them according to a specific outcome, and evaluating it through methodological quality tools. Its main…

Meta-analysis is an objective, systematic review that employs statistical methods to combine and summarize the results of several studies. It is a quantitative synthesis of all the unbiased evidence, meant for summarizing large volume of data, establishing and determining the magnitude of an effect, and to increase pow…

Low-dose aspirin has been suggested to positively impact a number of clinical outcomes associated with oxidative stress; however, results of clinical trials surrounding its effect on a woman's ability to achieve and sustain pregnancy have been inconclusive. A meta-analysis is an advantageous tool in this situation. Met…

Adaikalavan Ramasamy and colleagues outline seven key issues and suggest a stepwise approach in conducting a meta-analysis of microarray datasets.

The random effects approach in meta-analysis due to DerSimonian and Laird is well established and used pervasively. It has been established by Brockwell and Gordon that this method, when used for confidence intervals, leads to coverage probabilities lower than the nominal value. A number of alternatives have been propo…