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Academic Journal

A REML method for the evidence-splitting model in network meta-analysis.

  • Authors : Piepho HP; Biostatistics Unit, Institute of Crop Science, University of Hohenheim, Stuttgart, Germany.; Forkman J

Subjects: Likelihood Functions*; Network Meta-Analysis ; Linear Models

  • Source: Research synthesis methods [Res Synth Methods] 2024 Mar; Vol. 15 (2), pp. 198-212. Date of Electronic Publication: 2023 Nov 30.Publisher: Wiley Blackwell Country of Publication: England NLM ID: 101543738 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

A boosting method to select the random effects in linear mixed models.

  • Authors : Battauz M; Department of Economics and Statistics, University of Udine, Udine 33100, Italy.; Vidoni P

Subjects: Likelihood Functions*; Linear Models ; Computer Simulation

  • Source: Biometrics [Biometrics] 2024 Jan 29; Vol. 80 (1).Publisher: Biometric Society Country of Publication: England NLM ID: 0370625 Publication Model: Print Cited Medium: Internet ISSN: 1541-0420

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Academic Journal

Performance of Topology Tests under Extreme Selection Bias.

  • Authors : Markowski E; Department of Mathematics and Statistics, Dalhousie University, Halifax, NS, Canada.; Apple Incorporated, Cupertino, CA, USA.

Subjects: Likelihood Functions*; Phylogeny ; Selection Bias

  • Source: Molecular biology and evolution [Mol Biol Evol] 2024 Jan 03; Vol. 41 (1).Publisher: Oxford University Press Country of Publication: United States NLM ID: 8501455 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

Confidence estimation based on data from independent studies.

Subjects: Likelihood Functions*; Confidence Intervals

  • Source: Statistical methods in medical research [Stat Methods Med Res] 2024 Jan; Vol. 33 (1), pp. 42-60. Date of Electronic Publication: 2023 Dec 06.Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Maximum Augmented Empirical Likelihood Estimation of Categorical Marginal Models for Large Sparse Contingency Tables.

  • Authors : van der Ark LA; Research Institute of Child Development and Education, University of Amsterdam, P.O. Box 15776, 1001, NG, Amsterdam, The Netherlands. .; Bergsma WP

Subjects: Likelihood Functions*; Psychometrics ; Computer Simulation

  • Source: Psychometrika [Psychometrika] 2023 Dec; Vol. 88 (4), pp. 1228-1248. Date of Electronic Publication: 2023 Sep 26.Publisher: Psychometric Society Country of Publication: United States NLM ID: 0376503 Publication Model: Print-Electronic Cited Medium: Internet

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Academic Journal

Composite Likelihoods with Bounded Weights in Extrapolation of Data.

  • Authors : Gamalo M; Global Biometrics & Data Management, Pfizer Inc Pennsylvania, Collegeville, Pennsylvania, USA.; Kim Y

Subjects: Likelihood Functions*; Adult ; Humans

  • Source: Journal of biopharmaceutical statistics [J Biopharm Stat] 2023 Nov 02; Vol. 33 (6), pp. 708-725. Date of Electronic Publication: 2023 Jan 20.Publisher: Taylor & Francis Country of Publication: England NLM ID: 9200436 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Semiparametric estimation of the transformation model by leveraging external aggregate data in the presence of population heterogeneity.

  • Authors : Cheng YJ; Institute of Statistics, National Tsing Hua University, Hsin-Chu, Taiwan.; Liu YC

Subjects: Likelihood Functions*; Computer Simulation ; Bias

  • Source: Biometrics [Biometrics] 2023 Sep; Vol. 79 (3), pp. 1996-2009. Date of Electronic Publication: 2022 Nov 10.Publisher: Biometric Society Country of Publication: United States NLM ID: 0370625 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Inference on the stress strength reliability with exponentiated generalized Marshall Olkin-G distribution.

  • Authors : Salah Youssef Temraz N; Prince Sattam Bin Abdulaziz University, College of Arts and Sciences, Al-Kharj, KSA.; Faculty of Science, Mathematics Department, Tanta University, Tanta, Egypt.

Subjects: Likelihood Functions*; Bayes Theorem ; Reproducibility of Results

  • Source: PloS one [PLoS One] 2023 Aug 09; Vol. 18 (8), pp. e0280183. Date of Electronic Publication: 2023 Aug 09 (Print Publication: 2023).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

New discrete heavy tailed distributions as models for insurance data.

  • Authors : Nadarajah S; Department of Mathematics, Howard University, Washington, DC, United States of America.; Lyu J

Subjects: Likelihood Functions*; Statistical Distributions

  • Source: PloS one [PLoS One] 2023 May 05; Vol. 18 (5), pp. e0285183. Date of Electronic Publication: 2023 May 05 (Print Publication: 2023).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Inferential properties with a novel two parameter Poisson generalized Lindley distribution with regression and application to INAR(1) process.

  • Authors : Irshad MR; Department of Statistics, Cochin University of Science and Technology, Cochin, Kerala, India.; D'cruz V

Subjects: Likelihood Functions*; Humans ; Computer Simulation

  • Source: Journal of biopharmaceutical statistics [J Biopharm Stat] 2023 May 04; Vol. 33 (3), pp. 335-356. Date of Electronic Publication: 2023 Jan 20.Publisher: Taylor & Francis Country of Publication: England NLM ID: 9200436 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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  • 1-10 of  61,076 results for ""Likelihood Functions""