Open AccessResearch synthesis and meta‐analysis of Monte Carlo studies: the best of two worlds
Author(s) -
LeBeau Brandon
Publication year - 2017
Publication title -
campbell systematic reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 4
ISSN - 1891-1803
DOI - 10.4073/cmdp.2017.3
Subject(s) - monte carlo method , narrative review , computer science , meta analysis , monte carlo method in statistical physics , management science , hybrid monte carlo , psychology , mathematics , markov chain monte carlo , medicine , engineering , statistics , psychotherapist
Research syntheses and meta‐analyses have been widely used to combine primary applied research studies. To date, there has been little work applying these methods to combine Monte Carlo studies, however narrative reviews are common to evaluate the Monte Carlo literature. This manuscript briefly describes the benefits and challenges of combining outcomes from Monte Carlo studies using research synthesis and meta‐analysis methods. The particular focus is to discuss and extend ideas first described by Harwell (1992).