Random-effects meta-analysis of Phase I dose-finding studies using stochastic process priors

Random-effects meta-analysis: the number of studies matters.

This paper investigates the impact of the number of studies on meta-analysis and meta-regression within the random-effects model framework. It is frequently neglected that inference in random-effects models requires a substantial number of studies included in meta-analysis to guarantee reliable conclusions. Several authors warn about the risk of inaccurate results of the traditional DerSimonian...

Random Process Simulation for Stochastic Fatigue Analysis

Meta-Analysis of Theft Studies in Iran

Theft is one of the crucial criminal practices that threaten the public and social security of the community, and its prevalence is a clear indication of social insecurity. This study aimed to assess the prevalence of the theft at its all levels and aspects by using systematic review and meta-analysis. The statistical population of this synthesizing study includes all of the research studies in...

Meta-analysis of suicide studies in Iran

Introduction: The purpose of this study is to investigate the meta-analysis of published articles on the factors affecting suicide. Method: From 15 selected studies, appropriate statistics were recorded to calculate the effect size and other required information and with CMA2 software, the effect size was calculated and hypotheses were analyzed. Findings: The results of the present study sh...

Stochastic segmentation using Gibbs priors

In earlier work, a fast stochastic method for reconstructing a certain class of twodimensional binary images from projections using Gibbs priors was presented. In the present study, we introduce a stochastic segmentation of magnetic resonance gray-scale images of trabecular bone using Gibbs priors. We show some results as well as some post-processing that can be used to clean up segmentations o...