Wan.std

a vector of ordered summary statistics

a character string indicating which type of summary statistics is reported. The options for the type argument are:<ul>
<li>"S1" for the sample mean, minimum and maximum values</li>
<li>"S2" for the sample mean, first and third quartiles</li>
<li>"S3" for the sample mean, first and third quartiles, and minimum and maximum values</li>
</ul>

type

Use Wan et al.'s methods (Wan et al., 2014) to estimate the sample standard deviation based on sample quantiles derived summaries for a single study.

The sample mean and standard deviation are two commonly used statistics in meta-analyses,
but some trials use other summary statistics such as the median and quartiles to report the results.
Therefore, researchers need to transform those information back to the sample mean and
standard deviation. This package implemented sample mean estimators by Luo et al. (2016) <arXiv:1505.05687>, sample standard deviation estimators by Wan et al. (2014) <arXiv:1407.8038>, and the best linear unbiased estimators (BLUEs) of location and scale parameters by Yang et al. (2018, submitted) based on sample quantiles derived summaries in a meta-analysis.

Xin Yang

Wan.std: Wan et al.'s standard deviation estimators

Description

Usage

Arguments

References

Examples