Estimating the Sample Mean and Standard Deviation from Commonly Reported Quantiles in Meta-Analysis
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Quantile estimation fitting
Box-Cox method for estimating the sample mean and standard deviation
Parametric bootstrap standard error estimation for the box-cox approac...
Parametric bootstrap standard error estimation for the method for unkn...
Parametric bootstrap standard error estimation for the quantile estima...
Parametric bootstrap standard error estimation
Method for unknown non-normal distributions (MLN) approach for estimat...
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Quantile estimation method for estimating the sample mean and standard...
Summary method for objects of class "qe.mean.sd"
Implements the methods of McGrath et al. (2020) <doi:10.1177/0962280219889080> and Cai et al. (2021) <doi:10.1177/09622802211047348> for estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis. These methods can be applied to studies that report the sample median, sample size, and one or both of (i) the sample minimum and maximum values and (ii) the first and third quartiles. The corresponding standard error estimators described by McGrath et al. (2023) <doi:10.1177/09622802221139233> are also included.