Introduction of methods for estimating standardized mean difference when missing standard deviation conversion in Meta-analysis
XU Yang-peng
YU Ya-yu
FU Wun-jie
TAO Yuan
WU Jun-yi
HE Qian
ZHANG Chao
Abstract：System review/Meta-analysis get more reliable results and conclusions through combining multiple similar studies to enlarge the sample size and improve the accuracy of statistics. However, difference and non-normative among original research result documents result in the absence of different types of raw data, in which the most common absence is missing of standard deviation in continuous data. Standard deviation is necessary for pooling the standard deviation in continuous data. At present, as to the lack of the standard deviation, methodologists have provided relevant estimate methods, such as methods ofP values, quartile and sample size conversion factors. In this paper, a brief summary of estimate methods for standard deviation and standardized mean differences in continuous data were made.
Keywords：Meta-analysisContinuous dataStandard deviationStandardized mean differenceConversion factors
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 1412-1415 )