Title of article :
Statistical methods in the meta-analysis of prevalence of human diseases
Author/Authors :
Wang ، Ke-Sheng - East Tennessee State University , Liu ، Xuefeng - University of Michigan
Abstract :
Background Aim: A meta-analysis refers to the statistical synthesis of results from a series of studies and has been used to estimate pooled prevalence of human diseases. In this study, we review some statistical issues regarding the meta-analysis of the prevalence of human diseases such as statistical software and programs, transformations of prevalence rate, assessment of heterogeneity, and publication bias.
Keywords :
human diseases , prevalence , meta , analysis , software , heterogeneity , publication bias
Journal title :
Journal of Biostatistics and Epidemiology
Journal title :
Journal of Biostatistics and Epidemiology