Study heterogeneity (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Study heterogeneity" in English language version.

refsWebsite

Global rank English rank

25nih.gov

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22doi.org

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10semanticscholar.org

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3arxiv.org

69^th place

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3worldcat.org

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1cochrane.org

7,609^th place

low place

1books.google.com

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1harvard.edu

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1manchester.ac.uk

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2,646^th place

1acpjournals.org

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1wiley.com

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1jstor.org

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1bris.ac.uk

4,848^th place

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1handle.net

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1rero.ch

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1iqwig.de

low place

1bmj.com

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acpjournals.org

Cornell, John E.; Mulrow, Cynthia D.; Localio, Russell; Stack, Catharine B.; Meibohm, Anne R.; Guallar, Eliseo; Goodman, Steven N. (2014-02-18). "Random-Effects Meta-analysis of Inconsistent Effects: A Time for Change". Annals of Internal Medicine. 160 (4): 267–270. doi:10.7326/M13-2886. ISSN 0003-4819. PMID 24727843. S2CID 9210956.

arxiv.org

Röver, C. (2020), "Bayesian random-effects meta-analysis using the bayesmeta R package", Journal of Statistical Software, 93 (6): 1–51, arXiv:1711.08683, doi:10.18637/jss.v093.i06
Röver, C.; Bender, R.; Dias, S.; Schmid, C.H.; Schmidli, H.; Sturtz, S.; Weber, S.; Friede, T. (2021), "On weakly informative prior distributions for the heterogeneity parameter in Bayesian random‐effects meta‐analysis", Research Synthesis Methods, 12 (4): 448–474, arXiv:2007.08352, doi:10.1002/jrsm.1475, PMID 33486828, S2CID 220546288
Friede, T.; Röver, C.; Wandel, S.; Neuenschwander, B. (2017), "Meta-analysis of few small studies in orphan diseases", Research Synthesis Methods, 8 (1): 79–91, arXiv:1601.06533, doi:10.1002/jrsm.1217, PMC 5347842, PMID 27362487

bmj.com

bmjopen.bmj.com

IntHout, J; Ioannidis, J.P.A.; Rovers, M.M.; Goeman, J.J. (2016), "Plea for routinely presenting prediction intervals in meta-analysis" (PDF), BMJ Open, 6 (7): e010247, doi:10.1136/bmjopen-2015-010247, PMC 4947751, PMID 27406637

books.google.com

Cooper, Harris; Hedges, Larry V.; Valentine, Jeffrey C. (2019-06-14). The Handbook of Research Synthesis and Meta-Analysis. Russell Sage Foundation. ISBN 978-1-61044-886-4.

bris.ac.uk

research-information.bris.ac.uk

Borenstein, M.; Higgins, J.P.T.; Hedges, L.V.; Rothstein, H.R. (2017), "Basics of meta-analysis: I² is not an absolute measure of heterogeneity" (PDF), Research Synthesis Methods, 8 (1): 5–18, doi:10.1002/jrsm.1230, hdl:1983/9cea2307-8e9b-4583-9403-3a37409ed1cb, PMID 28058794, S2CID 4235538

cochrane.org

training.cochrane.org

Deeks, J.J.; Higgins, J.P.T.; Altman, D.G. (2021), "10.10 Heterogeneity", in Higgins, J.P.T.; Thomas, J.; Chandler, J.; Cumpston, M.; Li, T.; Page, M.J.; Welch, V.A. (eds.), Cochrane Handbook for Systematic Reviews of Interventions (6.2 ed.)

doi.org

Singh, A.; Hussain, S.; Najmi, A.N. (2017), "Number of studies, heterogeneity, generalisability, and the choice of method for meta-analysis", Journal of the Neurological Sciences, 15 (381): 347, doi:10.1016/j.jns.2017.09.026, PMID 28967410, S2CID 31073171
Deeks, J.J.; Altman, D.G. (2001), "Effect measures for meta-analysis of trials with binary outcomes", in Egger, M.; Davey Smith, G.; Altman, D. (eds.), Systematic reviews in health care: Meta-analysis in context (2nd ed.), BMJ Publishing, pp. 313–335, doi:10.1002/9780470693926.ch16, ISBN 9780470693926
Riley, R. D.; Higgins, J. P.; Deeks, J. J. (2011), "Interpretation of random-effects meta-analyses", BMJ, 342: d549, doi:10.1136/bmj.d549, PMID 21310794, S2CID 32994689
Bretthorst, G.L. (1999), "The near-irrelevance of sampling frequency distributions", in von der Linden, W.; et al. (eds.), Maximum Entropy and Bayesian methods, Kluwer Academic Publishers, pp. 21–46, doi:10.1007/978-94-011-4710-1_3, ISBN 978-94-010-5982-4
Kontopantelis, E.; Springate, D. A.; Reeves, D. (2013). "A re-analysis of the Cochrane Library data: The dangers of unobserved heterogeneity in meta-analyses". PLOS ONE. 8 (7): e69930. Bibcode:2013PLoSO...869930K. doi:10.1371/journal.pone.0069930. PMC 3724681. PMID 23922860.
Kontopantelis, E.; Reeves, D. (2012). "Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: A simulation study". Statistical Methods in Medical Research. 21 (4): 409–26. doi:10.1177/0962280210392008. PMID 21148194. S2CID 152379.
Röver, C. (2020), "Bayesian random-effects meta-analysis using the bayesmeta R package", Journal of Statistical Software, 93 (6): 1–51, arXiv:1711.08683, doi:10.18637/jss.v093.i06
Cornell, John E.; Mulrow, Cynthia D.; Localio, Russell; Stack, Catharine B.; Meibohm, Anne R.; Guallar, Eliseo; Goodman, Steven N. (2014-02-18). "Random-Effects Meta-analysis of Inconsistent Effects: A Time for Change". Annals of Internal Medicine. 160 (4): 267–270. doi:10.7326/M13-2886. ISSN 0003-4819. PMID 24727843. S2CID 9210956.
Maziarz, Mariusz (2022-02-01). "Is meta-analysis of RCTs assessing the efficacy of interventions a reliable source of evidence for therapeutic decisions?". Studies in History and Philosophy of Science. 91: 159–167. doi:10.1016/j.shpsa.2021.11.007. ISSN 0039-3681. PMID 34922183. S2CID 245241150.
Borenstein, Michael; Hedges, Larry V.; Higgins, Julian P. T.; Rothstein, Hannah R. (2010). "A basic introduction to fixed-effect and random-effects models for meta-analysis". Research Synthesis Methods. 1 (2): 97–111. doi:10.1002/jrsm.12. ISSN 1759-2887. PMID 26061376. S2CID 1040498.
Cochran, W.G. (1954), "The combination of estimates from different experiments", Biometrics, 10 (1): 101–129, doi:10.2307/3001666, JSTOR 3001666
Hardy, R.J.; Thompson, S.G. (1998), "Detecting and describing heterogeneity in meta-analysis", Statistics in Medicine, 17 (8): 841–856, doi:10.1002/(SICI)1097-0258(19980430)17:8<841::AID-SIM781>3.0.CO;2-D, PMID 9595615
Davey, J.; Turner, R.M.; Clarke, M.J.; Higgins, J.P.T. (2011), "Characteristics of meta-analyses and their component studies in the Cochrane Database of Systematic Reviews: a cross-sectional, descriptive analysis", BMC Medical Research Methodology, 11 (1): 160, doi:10.1186/1471-2288-11-160, PMC 3247075, PMID 22114982
Li, W.; Liu, F.; Snavely, D. (2020), "Revisit of test‐then‐pool methods and some practical considerations", Pharmaceutical Statistics, 19 (5): 498–517, doi:10.1002/pst.2009, PMID 32171048, S2CID 212718520
Veroniki, A.A.; Jackson, D.; Viechtbauer, W.; Bender, R.; Bowden, J.; Knapp, G.; Kuß, O.; Higgins, J.P.T.; Langan, D.; Salanti, G. (2016), "Methods to estimate the between-study variance and its uncertainty in meta-analysis", Research Synthesis Methods, 7 (1): 55–79, doi:10.1002/jrsm.1164, PMC 4950030, PMID 26332144
Röver, C.; Bender, R.; Dias, S.; Schmid, C.H.; Schmidli, H.; Sturtz, S.; Weber, S.; Friede, T. (2021), "On weakly informative prior distributions for the heterogeneity parameter in Bayesian random‐effects meta‐analysis", Research Synthesis Methods, 12 (4): 448–474, arXiv:2007.08352, doi:10.1002/jrsm.1475, PMID 33486828, S2CID 220546288
Friede, T.; Röver, C.; Wandel, S.; Neuenschwander, B. (2017), "Meta-analysis of few small studies in orphan diseases", Research Synthesis Methods, 8 (1): 79–91, arXiv:1601.06533, doi:10.1002/jrsm.1217, PMC 5347842, PMID 27362487
Higgins, J. P. T.; Thompson, S. G.; Deeks, J. J.; Altman, D. G. (2003), "Measuring inconsistency in meta-analyses", BMJ, 327 (7414): 557–560, doi:10.1136/bmj.327.7414.557, PMC 192859, PMID 12958120
Rücker, G.; Schwarzer, G.; Carpenter, J.R.; Schumacher, M. (2008), "Undue reliance on I² in assessing heterogeneity may mislead", BMC Medical Research Methodology, 8 (79): 79, doi:10.1186/1471-2288-8-79, PMC 2648991, PMID 19036172
Borenstein, M.; Higgins, J.P.T.; Hedges, L.V.; Rothstein, H.R. (2017), "Basics of meta-analysis: I² is not an absolute measure of heterogeneity" (PDF), Research Synthesis Methods, 8 (1): 5–18, doi:10.1002/jrsm.1230, hdl:1983/9cea2307-8e9b-4583-9403-3a37409ed1cb, PMID 28058794, S2CID 4235538
Chiolero, A; Santschi, V.; Burnand, B.; Platt, R.W.; Paradis, G. (2012), "Meta-analyses: with confidence or prediction intervals?" (PDF), European Journal of Epidemiology, 27 (10): 823–5, doi:10.1007/s10654-012-9738-y, PMID 23070657, S2CID 20413290
IntHout, J; Ioannidis, J.P.A.; Rovers, M.M.; Goeman, J.J. (2016), "Plea for routinely presenting prediction intervals in meta-analysis" (PDF), BMJ Open, 6 (7): e010247, doi:10.1136/bmjopen-2015-010247, PMC 4947751, PMID 27406637

handle.net

hdl.handle.net

Borenstein, M.; Higgins, J.P.T.; Hedges, L.V.; Rothstein, H.R. (2017), "Basics of meta-analysis: I² is not an absolute measure of heterogeneity" (PDF), Research Synthesis Methods, 8 (1): 5–18, doi:10.1002/jrsm.1230, hdl:1983/9cea2307-8e9b-4583-9403-3a37409ed1cb, PMID 28058794, S2CID 4235538

harvard.edu

ui.adsabs.harvard.edu

Kontopantelis, E.; Springate, D. A.; Reeves, D. (2013). "A re-analysis of the Cochrane Library data: The dangers of unobserved heterogeneity in meta-analyses". PLOS ONE. 8 (7): e69930. Bibcode:2013PLoSO...869930K. doi:10.1371/journal.pone.0069930. PMC 3724681. PMID 23922860.

iqwig.de

Bender, R.; Kuß, O.; Koch, A.; Schwenke, C.; Hauschke, D. (2014), Application of prediction intervals in meta-analyses with random effects (PDF), Joint statement of IQWiG, GMDS and IBS-DR

jstor.org

Cochran, W.G. (1954), "The combination of estimates from different experiments", Biometrics, 10 (1): 101–129, doi:10.2307/3001666, JSTOR 3001666

manchester.ac.uk

research.manchester.ac.uk

Kontopantelis, E.; Reeves, D. (2012). "Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: A simulation study". Statistical Methods in Medical Research. 21 (4): 409–26. doi:10.1177/0962280210392008. PMID 21148194. S2CID 152379.

nih.gov

pubmed.ncbi.nlm.nih.gov

Singh, A.; Hussain, S.; Najmi, A.N. (2017), "Number of studies, heterogeneity, generalisability, and the choice of method for meta-analysis", Journal of the Neurological Sciences, 15 (381): 347, doi:10.1016/j.jns.2017.09.026, PMID 28967410, S2CID 31073171
Riley, R. D.; Higgins, J. P.; Deeks, J. J. (2011), "Interpretation of random-effects meta-analyses", BMJ, 342: d549, doi:10.1136/bmj.d549, PMID 21310794, S2CID 32994689
Kontopantelis, E.; Springate, D. A.; Reeves, D. (2013). "A re-analysis of the Cochrane Library data: The dangers of unobserved heterogeneity in meta-analyses". PLOS ONE. 8 (7): e69930. Bibcode:2013PLoSO...869930K. doi:10.1371/journal.pone.0069930. PMC 3724681. PMID 23922860.
Kontopantelis, E.; Reeves, D. (2012). "Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: A simulation study". Statistical Methods in Medical Research. 21 (4): 409–26. doi:10.1177/0962280210392008. PMID 21148194. S2CID 152379.
Cornell, John E.; Mulrow, Cynthia D.; Localio, Russell; Stack, Catharine B.; Meibohm, Anne R.; Guallar, Eliseo; Goodman, Steven N. (2014-02-18). "Random-Effects Meta-analysis of Inconsistent Effects: A Time for Change". Annals of Internal Medicine. 160 (4): 267–270. doi:10.7326/M13-2886. ISSN 0003-4819. PMID 24727843. S2CID 9210956.
Maziarz, Mariusz (2022-02-01). "Is meta-analysis of RCTs assessing the efficacy of interventions a reliable source of evidence for therapeutic decisions?". Studies in History and Philosophy of Science. 91: 159–167. doi:10.1016/j.shpsa.2021.11.007. ISSN 0039-3681. PMID 34922183. S2CID 245241150.
Borenstein, Michael; Hedges, Larry V.; Higgins, Julian P. T.; Rothstein, Hannah R. (2010). "A basic introduction to fixed-effect and random-effects models for meta-analysis". Research Synthesis Methods. 1 (2): 97–111. doi:10.1002/jrsm.12. ISSN 1759-2887. PMID 26061376. S2CID 1040498.
Hardy, R.J.; Thompson, S.G. (1998), "Detecting and describing heterogeneity in meta-analysis", Statistics in Medicine, 17 (8): 841–856, doi:10.1002/(SICI)1097-0258(19980430)17:8<841::AID-SIM781>3.0.CO;2-D, PMID 9595615
Davey, J.; Turner, R.M.; Clarke, M.J.; Higgins, J.P.T. (2011), "Characteristics of meta-analyses and their component studies in the Cochrane Database of Systematic Reviews: a cross-sectional, descriptive analysis", BMC Medical Research Methodology, 11 (1): 160, doi:10.1186/1471-2288-11-160, PMC 3247075, PMID 22114982
Li, W.; Liu, F.; Snavely, D. (2020), "Revisit of test‐then‐pool methods and some practical considerations", Pharmaceutical Statistics, 19 (5): 498–517, doi:10.1002/pst.2009, PMID 32171048, S2CID 212718520
Veroniki, A.A.; Jackson, D.; Viechtbauer, W.; Bender, R.; Bowden, J.; Knapp, G.; Kuß, O.; Higgins, J.P.T.; Langan, D.; Salanti, G. (2016), "Methods to estimate the between-study variance and its uncertainty in meta-analysis", Research Synthesis Methods, 7 (1): 55–79, doi:10.1002/jrsm.1164, PMC 4950030, PMID 26332144
Röver, C.; Bender, R.; Dias, S.; Schmid, C.H.; Schmidli, H.; Sturtz, S.; Weber, S.; Friede, T. (2021), "On weakly informative prior distributions for the heterogeneity parameter in Bayesian random‐effects meta‐analysis", Research Synthesis Methods, 12 (4): 448–474, arXiv:2007.08352, doi:10.1002/jrsm.1475, PMID 33486828, S2CID 220546288
Friede, T.; Röver, C.; Wandel, S.; Neuenschwander, B. (2017), "Meta-analysis of few small studies in orphan diseases", Research Synthesis Methods, 8 (1): 79–91, arXiv:1601.06533, doi:10.1002/jrsm.1217, PMC 5347842, PMID 27362487
Higgins, J. P. T.; Thompson, S. G.; Deeks, J. J.; Altman, D. G. (2003), "Measuring inconsistency in meta-analyses", BMJ, 327 (7414): 557–560, doi:10.1136/bmj.327.7414.557, PMC 192859, PMID 12958120
Rücker, G.; Schwarzer, G.; Carpenter, J.R.; Schumacher, M. (2008), "Undue reliance on I² in assessing heterogeneity may mislead", BMC Medical Research Methodology, 8 (79): 79, doi:10.1186/1471-2288-8-79, PMC 2648991, PMID 19036172
Borenstein, M.; Higgins, J.P.T.; Hedges, L.V.; Rothstein, H.R. (2017), "Basics of meta-analysis: I² is not an absolute measure of heterogeneity" (PDF), Research Synthesis Methods, 8 (1): 5–18, doi:10.1002/jrsm.1230, hdl:1983/9cea2307-8e9b-4583-9403-3a37409ed1cb, PMID 28058794, S2CID 4235538
Chiolero, A; Santschi, V.; Burnand, B.; Platt, R.W.; Paradis, G. (2012), "Meta-analyses: with confidence or prediction intervals?" (PDF), European Journal of Epidemiology, 27 (10): 823–5, doi:10.1007/s10654-012-9738-y, PMID 23070657, S2CID 20413290
IntHout, J; Ioannidis, J.P.A.; Rovers, M.M.; Goeman, J.J. (2016), "Plea for routinely presenting prediction intervals in meta-analysis" (PDF), BMJ Open, 6 (7): e010247, doi:10.1136/bmjopen-2015-010247, PMC 4947751, PMID 27406637

ncbi.nlm.nih.gov

Kontopantelis, E.; Springate, D. A.; Reeves, D. (2013). "A re-analysis of the Cochrane Library data: The dangers of unobserved heterogeneity in meta-analyses". PLOS ONE. 8 (7): e69930. Bibcode:2013PLoSO...869930K. doi:10.1371/journal.pone.0069930. PMC 3724681. PMID 23922860.
Davey, J.; Turner, R.M.; Clarke, M.J.; Higgins, J.P.T. (2011), "Characteristics of meta-analyses and their component studies in the Cochrane Database of Systematic Reviews: a cross-sectional, descriptive analysis", BMC Medical Research Methodology, 11 (1): 160, doi:10.1186/1471-2288-11-160, PMC 3247075, PMID 22114982
Veroniki, A.A.; Jackson, D.; Viechtbauer, W.; Bender, R.; Bowden, J.; Knapp, G.; Kuß, O.; Higgins, J.P.T.; Langan, D.; Salanti, G. (2016), "Methods to estimate the between-study variance and its uncertainty in meta-analysis", Research Synthesis Methods, 7 (1): 55–79, doi:10.1002/jrsm.1164, PMC 4950030, PMID 26332144
Friede, T.; Röver, C.; Wandel, S.; Neuenschwander, B. (2017), "Meta-analysis of few small studies in orphan diseases", Research Synthesis Methods, 8 (1): 79–91, arXiv:1601.06533, doi:10.1002/jrsm.1217, PMC 5347842, PMID 27362487
Higgins, J. P. T.; Thompson, S. G.; Deeks, J. J.; Altman, D. G. (2003), "Measuring inconsistency in meta-analyses", BMJ, 327 (7414): 557–560, doi:10.1136/bmj.327.7414.557, PMC 192859, PMID 12958120
Rücker, G.; Schwarzer, G.; Carpenter, J.R.; Schumacher, M. (2008), "Undue reliance on I² in assessing heterogeneity may mislead", BMC Medical Research Methodology, 8 (79): 79, doi:10.1186/1471-2288-8-79, PMC 2648991, PMID 19036172
IntHout, J; Ioannidis, J.P.A.; Rovers, M.M.; Goeman, J.J. (2016), "Plea for routinely presenting prediction intervals in meta-analysis" (PDF), BMJ Open, 6 (7): e010247, doi:10.1136/bmjopen-2015-010247, PMC 4947751, PMID 27406637

rero.ch

doc.rero.ch

Chiolero, A; Santschi, V.; Burnand, B.; Platt, R.W.; Paradis, G. (2012), "Meta-analyses: with confidence or prediction intervals?" (PDF), European Journal of Epidemiology, 27 (10): 823–5, doi:10.1007/s10654-012-9738-y, PMID 23070657, S2CID 20413290

semanticscholar.org

api.semanticscholar.org

Singh, A.; Hussain, S.; Najmi, A.N. (2017), "Number of studies, heterogeneity, generalisability, and the choice of method for meta-analysis", Journal of the Neurological Sciences, 15 (381): 347, doi:10.1016/j.jns.2017.09.026, PMID 28967410, S2CID 31073171
Riley, R. D.; Higgins, J. P.; Deeks, J. J. (2011), "Interpretation of random-effects meta-analyses", BMJ, 342: d549, doi:10.1136/bmj.d549, PMID 21310794, S2CID 32994689
Kontopantelis, E.; Reeves, D. (2012). "Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: A simulation study". Statistical Methods in Medical Research. 21 (4): 409–26. doi:10.1177/0962280210392008. PMID 21148194. S2CID 152379.
Cornell, John E.; Mulrow, Cynthia D.; Localio, Russell; Stack, Catharine B.; Meibohm, Anne R.; Guallar, Eliseo; Goodman, Steven N. (2014-02-18). "Random-Effects Meta-analysis of Inconsistent Effects: A Time for Change". Annals of Internal Medicine. 160 (4): 267–270. doi:10.7326/M13-2886. ISSN 0003-4819. PMID 24727843. S2CID 9210956.
Maziarz, Mariusz (2022-02-01). "Is meta-analysis of RCTs assessing the efficacy of interventions a reliable source of evidence for therapeutic decisions?". Studies in History and Philosophy of Science. 91: 159–167. doi:10.1016/j.shpsa.2021.11.007. ISSN 0039-3681. PMID 34922183. S2CID 245241150.
Borenstein, Michael; Hedges, Larry V.; Higgins, Julian P. T.; Rothstein, Hannah R. (2010). "A basic introduction to fixed-effect and random-effects models for meta-analysis". Research Synthesis Methods. 1 (2): 97–111. doi:10.1002/jrsm.12. ISSN 1759-2887. PMID 26061376. S2CID 1040498.
Li, W.; Liu, F.; Snavely, D. (2020), "Revisit of test‐then‐pool methods and some practical considerations", Pharmaceutical Statistics, 19 (5): 498–517, doi:10.1002/pst.2009, PMID 32171048, S2CID 212718520
Röver, C.; Bender, R.; Dias, S.; Schmid, C.H.; Schmidli, H.; Sturtz, S.; Weber, S.; Friede, T. (2021), "On weakly informative prior distributions for the heterogeneity parameter in Bayesian random‐effects meta‐analysis", Research Synthesis Methods, 12 (4): 448–474, arXiv:2007.08352, doi:10.1002/jrsm.1475, PMID 33486828, S2CID 220546288
Borenstein, M.; Higgins, J.P.T.; Hedges, L.V.; Rothstein, H.R. (2017), "Basics of meta-analysis: I² is not an absolute measure of heterogeneity" (PDF), Research Synthesis Methods, 8 (1): 5–18, doi:10.1002/jrsm.1230, hdl:1983/9cea2307-8e9b-4583-9403-3a37409ed1cb, PMID 28058794, S2CID 4235538
Chiolero, A; Santschi, V.; Burnand, B.; Platt, R.W.; Paradis, G. (2012), "Meta-analyses: with confidence or prediction intervals?" (PDF), European Journal of Epidemiology, 27 (10): 823–5, doi:10.1007/s10654-012-9738-y, PMID 23070657, S2CID 20413290

wiley.com

onlinelibrary.wiley.com

Borenstein, Michael; Hedges, Larry V.; Higgins, Julian P. T.; Rothstein, Hannah R. (2010). "A basic introduction to fixed-effect and random-effects models for meta-analysis". Research Synthesis Methods. 1 (2): 97–111. doi:10.1002/jrsm.12. ISSN 1759-2887. PMID 26061376. S2CID 1040498.

worldcat.org

search.worldcat.org

Cornell, John E.; Mulrow, Cynthia D.; Localio, Russell; Stack, Catharine B.; Meibohm, Anne R.; Guallar, Eliseo; Goodman, Steven N. (2014-02-18). "Random-Effects Meta-analysis of Inconsistent Effects: A Time for Change". Annals of Internal Medicine. 160 (4): 267–270. doi:10.7326/M13-2886. ISSN 0003-4819. PMID 24727843. S2CID 9210956.
Maziarz, Mariusz (2022-02-01). "Is meta-analysis of RCTs assessing the efficacy of interventions a reliable source of evidence for therapeutic decisions?". Studies in History and Philosophy of Science. 91: 159–167. doi:10.1016/j.shpsa.2021.11.007. ISSN 0039-3681. PMID 34922183. S2CID 245241150.
Borenstein, Michael; Hedges, Larry V.; Higgins, Julian P. T.; Rothstein, Hannah R. (2010). "A basic introduction to fixed-effect and random-effects models for meta-analysis". Research Synthesis Methods. 1 (2): 97–111. doi:10.1002/jrsm.12. ISSN 1759-2887. PMID 26061376. S2CID 1040498.