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Academic Journal

A pairwise pseudo-likelihood approach for regression analysis of left-truncated failure time data with various types of censoring.

  • Authors : Shao L; School of Economics and Statistics, Guangzhou University, Guangzhou, China.; Li H

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

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2023 Apr 04; Vol. 23 (1), pp. 82. Date of Electronic Publication: 2023 Apr 04.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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Academic Journal

stochprofML: stochastic profiling using maximum likelihood estimation in R.

  • Authors : Amrhein L; Institute of Computational Biology, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany.; Department of Mathematics, Technical University Munich, Boltzmannstrasse 3, 85748, Garching, Germany.

Subjects: Algorithms* ; Likelihood Functions* ; Stochastic Processes*

  • Source: BMC bioinformatics [BMC Bioinformatics] 2021 Mar 15; Vol. 22 (1), pp. 123. Date of Electronic Publication: 2021 Mar 15.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium:

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Academic Journal

Likelihood-based random-effects meta-analysis with few studies: empirical and simulation studies.

  • Authors : Seide SE; Department of Medical Statistics, University Medical Center Göttingen, Humboldtallee 32, Göttingen, 37073, Germany.; Institute of Medical Biometry and Informatics, Heidelberg University Hospital, Im Neuenheimer Feld 130.3, Heidelberg, 69120, Germany.

Subjects: Data Interpretation, Statistical* ; Likelihood Functions* ; Meta-Analysis as Topic*

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2019 Jan 11; Vol. 19 (1), pp. 16. Date of Electronic Publication: 2019 Jan 11.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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Academic Journal

Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors.

  • Authors : Galimard JE; INSERM U1153, Epidemiology and Biostatistics Sorbonne Paris Cité Research Center (CRESS), ECSTRA team, Service de Biostatistique et Information Médicale, Hôpital Saint-Louis, AP-HP, 1 avenue Claude Vellefaux, Paris, F-75010, France. .; Paris Diderot University - Paris 7, Sorbonne Paris Cité, Paris, F-75010, France. .

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

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2018 Aug 31; Vol. 18 (1), pp. 90. Date of Electronic Publication: 2018 Aug 31.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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Academic Journal

Meta-analysis of binary outcomes via generalized linear mixed models: a simulation study.

Subjects: Algorithms* ; Likelihood Functions* ; Linear Models*

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2018 Jul 04; Vol. 18 (1), pp. 70. Date of Electronic Publication: 2018 Jul 04.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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Academic Journal

Performance of Firth-and logF-type penalized methods in risk prediction for small or sparse binary data.

  • Authors : Rahman MS; Institute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh. .; Sultana M

Subjects: Computer Simulation* ; Likelihood Functions*; Risk Assessment/Risk Assessment/Risk Assessment/*methods

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2017 Feb 23; Vol. 17 (1), pp. 33. Date of Electronic Publication: 2017 Feb 23.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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Academic Journal

Permutation-based variance component test in generalized linear mixed model with application to multilocus genetic association study.

  • Authors : Zeng P; Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, , Jiangsu, People's Republic of China. .; Department of Epidemiology and Biostatistics, Center of Medical Statistics and Data Analysis, School of Public Health, Xuzhou Medical College, Xuzhou, 221004, Jiangsu, People's Republic of China. .

Subjects: Algorithms* ; Likelihood Functions* ; Linear Models*

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2015 Apr 22; Vol. 15, pp. 37. Date of Electronic Publication: 2015 Apr 22.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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Academic Journal

A maximum pseudo-likelihood approach for phylogenetic networks.

Subjects: Evolution, Molecular* ; Likelihood Functions* ; Phylogeny*

  • Source: BMC genomics [BMC Genomics] 2015; Vol. 16 Suppl 10, pp. S10. Date of Electronic Publication: 2015 Oct 02.Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

FastMG: a simple, fast, and accurate maximum likelihood procedure to estimate amino acid replacement rate matrices from large data sets.

Subjects: Algorithms* ; Amino Acid Substitution* ; Evolution, Molecular*

  • Source: BMC bioinformatics [BMC Bioinformatics] 2014 Oct 24; Vol. 15, pp. 341. Date of Electronic Publication: 2014 Oct 24.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium:

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Academic Journal

Novel non-parametric models to estimate evolutionary rates and divergence times from heterochronous sequence data.

  • Authors : Fourment M; Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Biological Sciences and Sydney Medical School, The University of Sydney, Sydney, Australia. .; Holmes EC

Subjects: Likelihood Functions* ; Models, Genetic* ; Phylogeny*

  • Source: BMC evolutionary biology [BMC Evol Biol] 2014 Jul 24; Vol. 14, pp. 163. Date of Electronic Publication: 2014 Jul 24.Publisher: BioMed Central Country of Publication: England NLM ID: 100966975 Publication Model: Electronic Cited Medium:

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  • 1-10 of  1,333 results for ""Likelihood Functions""