Quantifying replicability of multiple studies in a meta-analysis-Reference-Cited by-同舟云学术

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Quantifying replicability of multiple studies in a meta-analysis

Published:2024-03-01 Issue:1 Volume:18 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Xiao Mengli¹,Chu Haitao²,Hodges James S.³,Lin Lifeng⁴

Affiliation:

1. Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus

2. Statistical Research and Data Science Center, Pfizer Inc

3. Division of Biostatistics, University of Minnesota

4. Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona

Publisher

Institute of Mathematical Statistics

Reference73 articles.

1. Lin, L., Chu, H. and Hodges, J. S. (2016). Sensitivity to excluding treatments in network meta-analysis. Epidemiology 27 562–569.

2. Morris, T. P., White, I. R. and Crowther, M. J. (2019). Using simulation studies to evaluate statistical methods. Stat. Med. 38 2074–2102.

3. Zhang, J., Carlin, B. P., Neaton, J. D., Soon, G. G., Nie, L., Kane, R., Virnig, B. A. and Chu, H. (2014). Network meta-analysis of randomized clinical trials: Reporting the proper summaries. Clin. Trials 11 246–262.

4. HIGGINS, J. P. T., THOMPSON, S. G. and SPIEGELHALTER, D. J. (2009). A re-evaluation of random-effects meta-analysis. J. Roy. Statist. Soc. Ser. A 172 137–159.

5. HONG, C., SALANTI, G., MORTON, S. C., RILEY, R. D., CHU, H., KIMMEL, S. E. and CHEN, Y. (2020). Testing small study effects in multivariate meta-analysis. Biometrics 76 1240–1250.

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