2024年7月19日 · Meta-analysis is a statistical procedure used to combine and synthesize findings from multiple independent studies to estimate the average effect size for a particular research question.

Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part of this method involves computing a combined effect size across all of the studies.

During the systematic review process, the quality of studies is evaluated, and a statistical meta-analysis of the study results is conducted on the basis of their quality. A meta-analysis is a valid, objective, and scientific method of analyzing and combining different results.

2021年11月30日 · Meta-analysis is a central method for knowledge accumulation in many scientific fields (Aguinis et al. 2011c; Kepes et al. 2013). Similar to a narrative review, it serves as a synopsis of a research question or field.

Meta-analysis refers to the statistical analysis of the data from independent primary studies focused on the same question, which aims to generate a quantitative estimate of the studied phenomenon, for example, the effectiveness of the intervention (Gopalakrishnan and Ganeshkumar, 2013).

Meta-analysis is the statistical combination of results from two or more separate studies. Potential advantages of meta-analyses include an improvement in precision, the ability to answer questions not posed by individual studies, and the opportunity to settle …

2023年4月26日 · The meaning of meta-analysis is a statistical method of combining results from numerous studies on a certain research question. The term was first used in 1976 and can be used to determine if the effect reported in the literature is real or not.

2023年9月25日 · A Meta-Analysis pools together the sample populations from different studies, such as Randomized Controlled Trials, into one statistical analysis and treats them as one large sample population with one conclusion.

Meta-analysis is a quantitative, formal, epidemiological study design used to systematically assess the results of previous research to derive conclusions about that body of research. Typically, but not necessarily, the study is based on randomized, controlled clinical trials.

1 天前 · Systematic reviews and meta-analyses are critical tools in synthesizing and evaluating existing research. While systematic reviews employ structured methods to answer specific questions, meta-analyses provide a quantitative synthesis of study results. Together, they form the backbone of evidence-based medicine, ensuring that clinical decisions are supported by …