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Academic Journal

Subset selection for linear mixed models.

  • Authors : Kowal DR; Dobelman Family Assistant Professor, Department of Statistics, Rice University, Houston, TX, USA.

Subjects: Algorithms*; Bayes Theorem ; Linear Models

  • Source: Biometrics [Biometrics] 2023 Sep; Vol. 79 (3), pp. 1853-1867. Date of Electronic Publication: 2022 Jul 25.Publisher: Biometric Society Country of Publication: England NLM ID: 0370625 Publication Model: Print-Electronic Cited

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Academic Journal

A D-vine copula-based model for repeated measurements extending linear mixed models with homogeneous correlation structure.

  • Authors : Killiches M; Zentrum Mathematik, Technische Universität München, Boltzmannstraße 3, 85748 Garching, Germany.; Czado C

Subjects: Linear Models* ; Models, Statistical* ; Statistics, Nonparametric*

  • Source: Biometrics [Biometrics] 2018 Sep; Vol. 74 (3), pp. 997-1005. Date of Electronic Publication: 2018 Mar 22.Publisher: Biometric Society Country of Publication: United States NLM ID: 0370625 Publication Model: Print-Electronic Cited

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Academic Journal

Sample size determination for multilevel hierarchical designs using generalized linear mixed models.

  • Authors : Amatya A; Department of Public Health Sciences, New Mexico State University, 1335 International Mall, RM 102, Las Cruces, New Mexico 88011, U.S.A.; Bhaumik DK

Subjects: Linear Models* ; Research Design* ; Sample Size*

  • Source: Biometrics [Biometrics] 2018 Jun; Vol. 74 (2), pp. 673-684. Date of Electronic Publication: 2017 Sep 12.Publisher: Biometric Society Country of Publication: United States NLM ID: 0370625 Publication Model: Print-Electronic Cited

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Academic Journal

A note on marginalization of regression parameters from mixed models of binary outcomes.

  • Authors : Hedeker D; Department of Public Health Sciences, University of Chicago, 5841 S. Maryland Avenue, Room W254, MC2000, Chicago, Illinois 60637, U.S.A.; du Toit SHC

Subjects: Data Interpretation, Statistical* ; Models, Statistical* ; Treatment Outcome*

  • Source: Biometrics [Biometrics] 2018 Mar; Vol. 74 (1), pp. 354-361. Date of Electronic Publication: 2017 Apr 20.Publisher: Biometric Society Country of Publication: United States NLM ID: 0370625 Publication Model: Print-Electronic Cited

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Academic Journal

Diagnosing misspecification of the random-effects distribution in mixed models.

  • Authors : Drikvandi R; I-BioStat, KU Leuven, Leuven, Belgium.; Department of Mathematics, Imperial College London, London, UK.

Subjects: Data Interpretation, Statistical* ; Linear Models*; Algorithms

  • Source: Biometrics [Biometrics] 2017 Mar; Vol. 73 (1), pp. 63-71. Date of Electronic Publication: 2016 Jul 05.Publisher: Biometric Society Country of Publication: United States NLM ID: 0370625 Publication Model: Print-Electronic Cited

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Academic Journal

Semiparametric estimation in generalized linear mixed models with auxiliary covariates: a pairwise likelihood approach.

  • Authors : Liu L; School of Mathematics and Statistics, Wuhan University, Hubei 430072, P.R. China.; Xiang L

Subjects: Artifacts* ; Data Interpretation, Statistical* ; Likelihood Functions*

  • Source: Biometrics [Biometrics] 2014 Dec; Vol. 70 (4), pp. 910-9. Date of Electronic Publication: 2014 Sep 23.Publisher: Biometric Society Country of Publication: United States NLM ID: 0370625 Publication Model: Print-Electronic Cited

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Academic Journal

Estimating marginal properties of quantitative real-time PCR data using nonlinear mixed models.

  • Authors : Gerhard D; Institute of Biostatistics, Leibniz Universität Hannover, Herrenhäuser Straße 2, 30419 Hannover, Germany.; Bremer M

Subjects: Models, Statistical* ; Research Design*; Gene Expression Profiling/Gene Expression Profiling/Gene Expression Profiling/*methods

  • Source: Biometrics [Biometrics] 2014 Mar; Vol. 70 (1), pp. 247-54. Date of Electronic Publication: 2013 Dec 03.Publisher: Biometric Society Country of Publication: United States NLM ID: 0370625 Publication Model: Print-Electronic Cited

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Academic Journal

Linear score tests for variance components in linear mixed models and applications to genetic association studies.

  • Authors : Qu L; Department of Mathematics and Statistics, Wright State University, Dayton, Ohio 45435, U.S.A.; Guennel T

Subjects: Algorithms* ; Linear Models* ; Models, Genetic*

  • Source: Biometrics [Biometrics] 2013 Dec; Vol. 69 (4), pp. 883-92. Date of Electronic Publication: 2013 Nov 04.Publisher: Biometric Society Country of Publication: United States NLM ID: 0370625 Publication Model: Print-Electronic Cited

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Academic Journal

The use of two-way linear mixed models in multitreatment meta-analysis.

  • Authors : Piepho HP; Bioinformatics Unit, Institute of Crop Science, University of Hohenheim, Fruwirthstrasse 23, 70599 Stuttgart, Germany. ; Williams ER

Subjects: Algorithms* ; Data Interpretation, Statistical* ; Epidemiologic Methods*

  • Source: Biometrics [Biometrics] 2012 Dec; Vol. 68 (4), pp. 1269-77. Date of Electronic Publication: 2012 Jul 27.Publisher: Biometric Society Country of Publication: United States NLM ID: 0370625 Publication Model: Print-Electronic Cited

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Academic Journal

Robust classification of functional and quantitative image data using functional mixed models.

  • Authors : Zhu H; Department of Statistical Science, Duke University, Durham, NC 27708, USA.; Brown PJ

Subjects: Algorithms* ; Bayes Theorem* ; Models, Statistical*

  • Source: Biometrics [Biometrics] 2012 Dec; Vol. 68 (4), pp. 1260-8. Date of Electronic Publication: 2012 Jun 06.Publisher: Biometric Society Country of Publication: England NLM ID: 0370625 Publication Model: Print-Electronic Cited

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