![]() This page is designed to give a general overview of the capabilities of NCSS for meta-analysis. This plot is especially useful in determining if the relationship between the treatment group and the control group is the same for all values of the control group risk. Homogenous studies will be arranged along the diagonal line. The L’Abbe Plot displays the treatment mean on vertical axis versus the control mean on the horizontal axis. Studies outside the limits may be outliers. Studies within the limits are interpreted as homogeneous. Studies that have the largest weight are closest to the Y axis. The Radial (or Galbraith) Plot shows the z-statistic (outcome divided by standard error) on the vertical axis and a measure of weight on the horizontal axis. when the confidence limits do not intersect the vertical line at 0). For example, you can determine how many studies were significant (i.e. Note that the narrower the confidence limits, the better.īy studying this plot, you can determine the main conclusions that can be drawn from the set of studies. The lines represent the confidence intervals about the mean differences. A point representing the average of all the studies is also presented. The points on the plot are sorted by the mean difference. The size of the plot symbol is proportional to the sample size of the study. The Forest Plot presents the results for all of the studies on a single plot. Three plots are common in meta-analysis studies:Įach plot is described in the sections that follow. NCSS performs meta-analysis based on the methods outlined in Sutton et al (2000) and Thompson (1998). The desire to increase the statistical power of the results be combining many small-size studies. The desire to interpret the large number of studies that may have been conducted about a specific treatment. ![]() The desire to avoid narrative reviews which are often misleading. ![]() The adoption of evidence-based medicine which requires that all reliable information is considered. Meta-analysis has become popular for a number of reasons: A meta-analysis systematically reviews all pertinent evidence, provides quantitative summaries, integrates results across studies, and provides an overall interpretation of these studies. Meta-Analysis refers to methods for the systematic review of a set of individual studies with the aim to combine their results. Meta-Analysis of Correlated Proportions. ![]() To see how these tools can benefit you, we recommend you download and install the free trial of NCSS. Use the links below to jump to the meta-analysis topic you would like to examine. The meta-analysis procedures in NCSS are easy-to-use and validated for accuracy. NCSS includes tools for performing meta-analysis of means, proportions, correlated proportions, and hazard ratios. ![]()
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