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Physicians in a particular group practice wanted to agree on a standard treatment protocol for patients suffering from multiple sclerosis (MS). A review of the literature uncovered over 40 different studies on the topic of treatment for MS published in peer-reviewed journals in the past five years.
To summarize this literature and reach a conclusion about what constitutes the current standard of care for MS, the physicians in this practice would most likely be assisted by the use of which of the following?
A. Analysis of variance
B. Chi-square analysis
C. Meta-analysis
D. Odds-ratio analysis
E. Pearson correlation
F. Regression analysis
G. Relative risk analysis
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plz explain psych... thanks !
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lala g.. whenever there are more than one studies combined to analyse the data .. its called meta analysis
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The correct answer is C.
A meta-analysis is a set of methods for conducting a mathematically based literature review. Simplistically, the results of all studies are combined, weighted by such issues as sample size and design quality, and summarized to yield a single p-value. The results of a meta-analysis tell us, based on the weight of existing data, what treatment, among many, works best, and the degree of benefit that treatment provides. That is, a meta-analysis summarizes both statistical and clinical significance.
Analysis of variance (choice A) is used to analyze data from a single study where the design provides one or more nominal variables and one interval variable.
Chi-square analysis (choice B) is used to analyze data from a single study where the design provides two nominal variables.
Odds-ratio analysis (choice D) is used to analyze data from a single case-control study.
Pearson correlation (choice E) is used to analyze data from a single study where the design provides two interval variables.
Regression analysis (choice F) is used to analyze data from a single study where the design provides two interval variables. Think of it as a more complicated correlation analysis.
Relative risk analysis (choice G) is used to analyze data from a single cohort study.
