Inferences on standardized mean difference: the generalized variable approach.

Lili Tian

doi:10.1002/sim.2589

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Inferences on standardized mean difference: the generalized variable approach.

Lili Tian

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Abstract

The standardized mean difference has been widely used as the most common index of effect magnitude in many applied fields. In this paper, we propose a novel approach using the concept of generalized variable for the confidence interval estimation and hypothesis testing of standardized mean difference. Furthermore, we extend this approach to compare standardized mean differences between two studies or between two strata. Simulation results demonstrate that the proposed approach can provide confidence intervals with excellent coverage properties and can perform hypothesis testing with satisfactory type-I error control.

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Confidence Intervals Data Interpretation, Statistical Humans Models, Statistical United States Journal Article

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Lili Tian. 2007-02-28. Inferences on standardized mean difference: the generalized variable approach.. https://doi.org/10.1002/sim.2589

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