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A meta-analysis of such expression profiles was performed to derive novel conclusions and to validate the known findings. [148] Meta-analysis of whole genome sequencing studies provides an attractive solution to the problem of collecting large sample sizes for discovering rare variants associated with complex phenotypes.
The aim of the PRISMA statement is to help authors improve the reporting of systematic reviews and meta-analyses. [3] PRISMA has mainly focused on systematic reviews and meta-analysis of randomized trials, but it can also be used as a basis for reporting reviews of other types of research (e.g., diagnostic studies, observational studies).
The social science research community was concerned that the condemnation by government legislatures might have a chilling effect on the future publication of controversial research results. The study's lead author is the psychologist Bruce Rind; it expanded on a 1997 meta-analysis for which Rind is also the lead author. [2]
A meta-analysis lends itself more to statistical research, often converting the original research into one common metric referred to as "effect sizes", so as to easily identify patterns and anomalies among publications. Systematic reviews may include meta-analysis results. [6]
The area of each square is proportional to the study's weight in the meta-analysis. The overall meta-analysed measure of effect is often represented on the plot as a dashed vertical line. This meta-analysed measure of effect is commonly plotted as a diamond, the lateral points of which indicate confidence intervals for this estimate.
Meta-analyses have their own methodological problems and disputes, which leads to rejection of the meta-analytic method by researchers whose theory is challenged by meta-analysis. [117] Rosenthal proposed the "fail-safe number" (FSN) [54] to avoid the publication bias against null results. It is defined as follows: Suppose the null hypothesis ...
Estimation statistics, or simply estimation, is a data analysis framework that uses a combination of effect sizes, confidence intervals, precision planning, and meta-analysis to plan experiments, analyze data and interpret results. [1]
Meta-analysis is a method used to combine the results of different trials in order to obtain a quantitative synthesis. The size of individual clinical trials is often too small to detect treatment effects reliably. Meta-analysis increases the power of statistical analyses by pooling the results of all available trials.