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Which is the Preferred Measure of Heterogeneity in Meta-Analysis and Why? A Revisit

Author

Listed:
  • Mona Pathak

    (Department of Biostatistics, All India Institute of Medical Sciences, India)

  • Sada Nand Dwivedi

    (Department of Biostatistics, All India Institute of Medical Sciences, India)

  • SVS Deo

    (Department of Surgical Oncology, IRCH, All India Institute of Medical Sciences, India)

  • V Sreenivas

    (Department of Biostatistics, All India Institute of Medical Sciences, India)

  • Bhaskar Thakur

    (Department of Biostatistics, All India Institute of Medical Sciences, India)

Abstract

Heterogeneity assessment is unavoidable under meta-analysis as it guides the path to choose appropriate synthesizing method. Its consideration further strengthens the drawn inferences. In the literature, there are various measures of heterogeneity, such as, Q statistic, H2 statistic, HM2 statistic, R2 statistic and I2 statistic. The present work mainly aimed to appraise all existing methods and find the preferred measure of heterogeneity in meta-analysis. Various heterogeneity measures were compared on the basis of theoretical criteria as well as their analytical results on the observed data from a systematic review of randomized controlled trials comparing neoadjuvant chemotherapy with adjuvant chemotherapy in the treatment of breast cancer patients.

Suggested Citation

  • Mona Pathak & Sada Nand Dwivedi & SVS Deo & V Sreenivas & Bhaskar Thakur, 2017. "Which is the Preferred Measure of Heterogeneity in Meta-Analysis and Why? A Revisit," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 1(1), pages 14-20, March.
    • Handle: RePEc:adp:jbboaj:v:1:y:2017:i:1:p:14-20
    DOI: 10.19080/BBOAJ.2017.01.555555
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    Cited by:

    1. Jongmin Oh & Changwoo Han & Dong-Wook Lee & Yoonyoung Jang & Yoon-Jung Choi & Hyun Joo Bae & Soontae Kim & Eunhee Ha & Yun-Chul Hong & Youn-Hee Lim, 2020. "Short-Term Exposure to Fine Particulate Matter and Hospitalizations for Acute Lower Respiratory Infection in Korean Children: A Time-Series Study in Seven Metropolitan Cities," IJERPH, MDPI, vol. 18(1), pages 1-15, December.

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