metaHelper

Helps calculate statistical values commonly used in meta-analysis. It provides several methods to compute different forms of standardized mean differences, as well as other values such as standard errors and standard deviations. The methods used in this package are described in the following references: Altman D G, Bland J M. (2011) doi:10.1136/bmj.d2090 Borenstein, M., Hedges, L.V., Higgins, J.P.T. and Rothstein, H.R. (2009) doi:10.1002/9780470743386.ch4 Chinn S. (2000) doi:10.1002/1097-0258(20001130)19:22<3127::aid-sim784>3.0.co;2-m Cochrane Handbook (2011) https://handbook-5-1.cochrane.org/front_page.htm Cooper, H., Hedges, L. V., & Valentine, J. C. (2009) https://psycnet.apa.org/record/2009-05060-000 Cohen, J. (1977) https://psycnet.apa.org/record/1987-98267-000 Ellis, P.D. (2009) https://www.psychometrica.de/effect_size.html Goulet-Pelletier, J.-C., & Cousineau, D. (2018) doi:10.20982/tqmp.14.4.p242 Hedges, L. V. (1981) doi:10.2307/1164588 Hedges L. V., Olkin I. (1985) doi:10.1016/C2009-0-03396-0 Murad M H, Wang Z, Zhu Y, Saadi S, Chu H, Lin L et al. (2023) doi:10.1136/bmj-2022-073141 Mayer M (2023) https://search.r-project.org/CRAN/refmans/confintr/html/ci_proportion.html Stackoverflow (2014) https://stats.stackexchange.com/questions/82720/confidence-interval-around-binomial-estimate-of-0-or-1 Stackoverflow (2018) https://stats.stackexchange.com/q/338043.

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