Mixed model (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Mixed model" in English language version.

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19doi.org

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1lexjansen.com

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arxiv.org

Bürkner, Paul-Christian (2018). "Advanced Bayesian Multilevel Modeling with the R Package brms". The R Journal. 10 (1): 395. arXiv:1705.11123. doi:10.32614/RJ-2018-017.
Capretto, Tomás; Piho, Camen; Kumar, Ravin; Westfall, Jacob; Yarkoni, Tal; Martin, Osvaldo A. (2022-01-11), Bambi: A simple interface for fitting Bayesian linear models in Python, doi:10.48550/arXiv.2012.10754, retrieved 2025-01-11

cbssports.com

Anderson, R.J (2016). ""MLB analytics guru who could be the next Nate Silver has a revolutionary new stat"".

cmu.edu

stat.cmu.edu

Seltman, Howard (2016). Experimental Design and Analysis. Vol. 1. pp. 357–378.

doi.org

Gomes, Dylan G.E. (20 January 2022). "Should I use fixed effects or random effects when I have fewer than five levels of a grouping factor in a mixed-effects model?". PeerJ. 10: e12794. doi:10.7717/peerj.12794. PMC 8784019. PMID 35116198.
Yang, Jian; Zaitlen, NA; Goddard, ME; Visscher, PM; Prince, AL (29 January 2014). "Advantages and pitfalls in the application of mixed-model association methods". Nat Genet. 46 (2): 100–106. doi:10.1038/ng.2876. PMC 3989144. PMID 24473328.
Judd, Charles M.; Westfall, Jacob; Kenny, David A. (2012). "Treating stimuli as a random factor in social psychology: A new and comprehensive solution to a pervasive but largely ignored problem". Journal of Personality and Social Psychology. 103 (1): 54–69. doi:10.1037/a0028347.
Boisgontier, Matthieu P.; Cheval, Boris (September 2016). "The anova to mixed model transition". Neuroscience & Biobehavioral Reviews. 68: 1004–1005. doi:10.1016/j.neubiorev.2016.05.034.
Schmidt-Catran, Alexander W.; Fairbrother, Malcolm (February 2016). "The Random Effects in Multilevel Models: Getting Them Wrong and Getting Them Right". European Sociological Review. 32 (1): 23–38. doi:10.1093/esr/jcv090. hdl:1983/de3e0a3c-9b41-4963-880c-452809860a7e.
Fisher, RA (1918). "The correlation between relatives on the supposition of Mendelian inheritance". Transactions of the Royal Society of Edinburgh. 52 (2): 399–433. doi:10.1017/S0080456800012163. S2CID 181213898.
Robinson, G.K. (1991). "That BLUP is a Good Thing: The Estimation of Random Effects". Statistical Science. 6 (1): 15–32. doi:10.1214/ss/1177011926. JSTOR 2245695.
C. R. Henderson; Oscar Kempthorne; S. R. Searle; C. M. von Krosigk (1959). "The Estimation of Environmental and Genetic Trends from Records Subject to Culling". Biometrics. 15 (2). International Biometric Society: 192–218. doi:10.2307/2527669. JSTOR 2527669.
McLean, Robert A.; Sanders, William L.; Stroup, Walter W. (1991). "A Unified Approach to Mixed Linear Models". The American Statistician. 45 (1). American Statistical Association: 54–64. doi:10.2307/2685241. JSTOR 2685241.
Chen, H; Wang, C; Conomos, MP; Stilp, AM; Li, Z; Sofer, T; Szpiro, AA; Chen, W; Brehm, JM; Celedon, JC; Redline, S; Papanicolaou, S; Thorton, GJ; Thorton, TA; Laurie, CC; Rice, K; Lin, X (7 April 2016). "Control for Population Structure and Relatedness for Binary Traits in Genetic Association Studies via Logistic Mixed Models". Am J Hum Genet. 98 (4): 653–666. doi:10.1016/j.ajhg.2016.02.012. PMC 4833218. PMID 27018471.
Henderson, C R (1973). "Sire evaluation and genetic trends" (PDF). Journal of Animal Science. 1973. American Society of Animal Science: 10–41. doi:10.1093/ansci/1973.Symposium.10. Retrieved 17 August 2014.
Barr, Dale J.; Levy, Roger; Scheepers, Christoph; Tily, Harry J. (April 2013). "Random effects structure for confirmatory hypothesis testing: Keep it maximal". Journal of Memory and Language. 68 (3): 255–278. doi:10.1016/j.jml.2012.11.001. PMC 3881361.
Lindstrom, ML; Bates, DM (1988). "Newton–Raphson and EM algorithms for linear mixed-effects models for repeated-measures data". Journal of the American Statistical Association. 83 (404): 1014–1021. doi:10.1080/01621459.1988.10478693.
Laird, Nan M.; Ware, James H. (1982). "Random-Effects Models for Longitudinal Data". Biometrics. 38 (4). International Biometric Society: 963–974. doi:10.2307/2529876. JSTOR 2529876. PMID 7168798.
Pinheiro, J; Bates, DM (2006). Mixed-effects models in S and S-PLUS. Statistics and Computing. New York: Springer Science & Business Media. doi:10.1007/b98882. ISBN 0-387-98957-9.
Bates, D.; Maechler, M.; Bolker, B.; Walker, S. (2015). "Fitting Linear Mixed-Effects Models Using lme4". Journal of Statistical Software. 67 (1). doi:10.18637/jss.v067.i01. hdl:2027.42/146808.
Bürkner, Paul-Christian (2017). "brms : An R Package for Bayesian Multilevel Models Using Stan". Journal of Statistical Software. 80 (1). doi:10.18637/jss.v080.i01.
Bürkner, Paul-Christian (2018). "Advanced Bayesian Multilevel Modeling with the R Package brms". The R Journal. 10 (1): 395. arXiv:1705.11123. doi:10.32614/RJ-2018-017.
Capretto, Tomás; Piho, Camen; Kumar, Ravin; Westfall, Jacob; Yarkoni, Tal; Martin, Osvaldo A. (2022-01-11), Bambi: A simple interface for fitting Bayesian linear models in Python, doi:10.48550/arXiv.2012.10754, retrieved 2025-01-11

elsevier.com

linkinghub.elsevier.com

Boisgontier, Matthieu P.; Cheval, Boris (September 2016). "The anova to mixed model transition". Neuroscience & Biobehavioral Reviews. 68: 1004–1005. doi:10.1016/j.neubiorev.2016.05.034.

handle.net

hdl.handle.net

Schmidt-Catran, Alexander W.; Fairbrother, Malcolm (February 2016). "The Random Effects in Multilevel Models: Getting Them Wrong and Getting Them Right". European Sociological Review. 32 (1): 23–38. doi:10.1093/esr/jcv090. hdl:1983/de3e0a3c-9b41-4963-880c-452809860a7e.
Bates, D.; Maechler, M.; Bolker, B.; Walker, S. (2015). "Fitting Linear Mixed-Effects Models Using lme4". Journal of Statistical Software. 67 (1). doi:10.18637/jss.v067.i01. hdl:2027.42/146808.

journalofanimalscience.org

Henderson, C R (1973). "Sire evaluation and genetic trends" (PDF). Journal of Animal Science. 1973. American Society of Animal Science: 10–41. doi:10.1093/ansci/1973.Symposium.10. Retrieved 17 August 2014.

jstor.org

Robinson, G.K. (1991). "That BLUP is a Good Thing: The Estimation of Random Effects". Statistical Science. 6 (1): 15–32. doi:10.1214/ss/1177011926. JSTOR 2245695.
C. R. Henderson; Oscar Kempthorne; S. R. Searle; C. M. von Krosigk (1959). "The Estimation of Environmental and Genetic Trends from Records Subject to Culling". Biometrics. 15 (2). International Biometric Society: 192–218. doi:10.2307/2527669. JSTOR 2527669.
McLean, Robert A.; Sanders, William L.; Stroup, Walter W. (1991). "A Unified Approach to Mixed Linear Models". The American Statistician. 45 (1). American Statistical Association: 54–64. doi:10.2307/2685241. JSTOR 2685241.
Laird, Nan M.; Ware, James H. (1982). "Random-Effects Models for Longitudinal Data". Biometrics. 38 (4). International Biometric Society: 963–974. doi:10.2307/2529876. JSTOR 2529876. PMID 7168798.

lexjansen.com

Obenchain, Lilly, Bob, Eli (1993). "Data Analysis and Information Visualization" (PDF). MWSUG.{{cite book}}: CS1 maint: multiple names: authors list (link)

nap.edu

books.nap.edu

L. Dale Van Vleck. "Charles Roy Henderson, April 1, 1911 – March 14, 1989" (PDF). United States National Academy of Sciences.

nih.gov

ncbi.nlm.nih.gov

Gomes, Dylan G.E. (20 January 2022). "Should I use fixed effects or random effects when I have fewer than five levels of a grouping factor in a mixed-effects model?". PeerJ. 10: e12794. doi:10.7717/peerj.12794. PMC 8784019. PMID 35116198.
Yang, Jian; Zaitlen, NA; Goddard, ME; Visscher, PM; Prince, AL (29 January 2014). "Advantages and pitfalls in the application of mixed-model association methods". Nat Genet. 46 (2): 100–106. doi:10.1038/ng.2876. PMC 3989144. PMID 24473328.
Chen, H; Wang, C; Conomos, MP; Stilp, AM; Li, Z; Sofer, T; Szpiro, AA; Chen, W; Brehm, JM; Celedon, JC; Redline, S; Papanicolaou, S; Thorton, GJ; Thorton, TA; Laurie, CC; Rice, K; Lin, X (7 April 2016). "Control for Population Structure and Relatedness for Binary Traits in Genetic Association Studies via Logistic Mixed Models". Am J Hum Genet. 98 (4): 653–666. doi:10.1016/j.ajhg.2016.02.012. PMC 4833218. PMID 27018471.
Barr, Dale J.; Levy, Roger; Scheepers, Christoph; Tily, Harry J. (April 2013). "Random effects structure for confirmatory hypothesis testing: Keep it maximal". Journal of Memory and Language. 68 (3): 255–278. doi:10.1016/j.jml.2012.11.001. PMC 3881361.

pubmed.ncbi.nlm.nih.gov

Gomes, Dylan G.E. (20 January 2022). "Should I use fixed effects or random effects when I have fewer than five levels of a grouping factor in a mixed-effects model?". PeerJ. 10: e12794. doi:10.7717/peerj.12794. PMC 8784019. PMID 35116198.
Yang, Jian; Zaitlen, NA; Goddard, ME; Visscher, PM; Prince, AL (29 January 2014). "Advantages and pitfalls in the application of mixed-model association methods". Nat Genet. 46 (2): 100–106. doi:10.1038/ng.2876. PMC 3989144. PMID 24473328.
Chen, H; Wang, C; Conomos, MP; Stilp, AM; Li, Z; Sofer, T; Szpiro, AA; Chen, W; Brehm, JM; Celedon, JC; Redline, S; Papanicolaou, S; Thorton, GJ; Thorton, TA; Laurie, CC; Rice, K; Lin, X (7 April 2016). "Control for Population Structure and Relatedness for Binary Traits in Genetic Association Studies via Logistic Mixed Models". Am J Hum Genet. 98 (4): 653–666. doi:10.1016/j.ajhg.2016.02.012. PMC 4833218. PMID 27018471.
Laird, Nan M.; Ware, James H. (1982). "Random-Effects Models for Longitudinal Data". Biometrics. 38 (4). International Biometric Society: 963–974. doi:10.2307/2529876. JSTOR 2529876. PMID 7168798.

semanticscholar.org

api.semanticscholar.org

Fisher, RA (1918). "The correlation between relatives on the supposition of Mendelian inheritance". Transactions of the Royal Society of Edinburgh. 52 (2): 399–433. doi:10.1017/S0080456800012163. S2CID 181213898.

ucla.edu

stats.oarc.ucla.edu

"Introduction to Linear Mixed Models". Advanced Research Computing Statistical Methods and Data Analytics. UCLA Statistical Consulting Group. 2021.

zenodo.org

Fisher, RA (1918). "The correlation between relatives on the supposition of Mendelian inheritance". Transactions of the Royal Society of Edinburgh. 52 (2): 399–433. doi:10.1017/S0080456800012163. S2CID 181213898.