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Combining studies in meta-analysis. Combining studies in meta-analysis uses a weighting model. The two most used are the fixed effect model and the random effects model.
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Combining studies in meta-analysis. Combining studies in meta-analysis uses a weighting model. The two most used are the fixed effect model and the random effects model.
Heterogeneity in meta-analysis. The study of heterogeneity in meta-analysis is an essential part of its elaboration. Available methods are described.
Probability of diagnostic. The probability of diagnostic implies the change that a test produces with respect to the position between the diagnostic and therapeutic thresholds.
Run in period. Run in period is a phase prior to randomization that, among other reasons, helps to ensure participant compliance.
Modifier of effect. Modifier of effect takes place when the magnitude of a variable interferes with the effect of the exposure on the result.