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Research synthesis and meta‐analysis of Monte Carlo studies: the best of two worlds

Brandon LeBeau · SAGE Publishing · 2017

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ABSTRACT 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).

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APA 7

LeBeau, B. (2017). Research synthesis and meta‐analysis of Monte Carlo studies: the best of two worlds. https://doi.org/10.4073/cmdp.2017.3

MLA

LeBeau, Brandon. "Research synthesis and meta‐analysis of Monte Carlo studies: the best of two worlds." 2017. https://doi.org/10.4073/cmdp.2017.3.

Chicago

LeBeau, Brandon. 2017. "Research synthesis and meta‐analysis of Monte Carlo studies: the best of two worlds.". https://doi.org/10.4073/cmdp.2017.3.

Harvard

LeBeau, B. 2017, Research synthesis and meta‐analysis of Monte Carlo studies: the best of two worlds, SAGE Publishing, available at: https://doi.org/10.4073/cmdp.2017.3 [Accessed 8 Aug. 2026].

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Title
Research synthesis and meta‐analysis of Monte Carlo studies: the best of two worlds
Author / contributors
Brandon LeBeau
Publisher
SAGE Publishing
Publication year
2017
ISSN
1891-1803
ISSN
1891-1803
Language
English
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