McLachlan GJ - Search Results

1

Inference on differences between classes using cluster-specific contrasts of mixed effects.

Ng SK, McLachlan GJ, Wang K, Nagymanyoki Z, Liu S, Ng SW. Ng SK, et al. Among authors: mclachlan gj. Biostatistics. 2015 Jan;16(1):98-112. doi: 10.1093/biostatistics/kxu028. Epub 2014 Jun 23. Biostatistics. 2015. PMID: 24963011

2

Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects.

Wang K, Ng SK, McLachlan GJ. Wang K, et al. Among authors: mclachlan gj. BMC Bioinformatics. 2012 Nov 14;13:300. doi: 10.1186/1471-2105-13-300. BMC Bioinformatics. 2012. PMID: 23151154 Free PMC article.

3

A mixture model with random-effects components for clustering correlated gene-expression profiles.

Ng SK, McLachlan GJ, Wang K, Ben-Tovim Jones L, Ng SW. Ng SK, et al. Among authors: mclachlan gj. Bioinformatics. 2006 Jul 15;22(14):1745-52. doi: 10.1093/bioinformatics/btl165. Epub 2006 May 3. Bioinformatics. 2006. PMID: 16675467

4

Joint frailty modeling of time-to-event data to elicit the evolution pathway of events: a generalized linear mixed model approach.

Ng SK, Tawiah R, Mclachlan GJ, Gopalan V. Ng SK, et al. Among authors: mclachlan gj. Biostatistics. 2022 Dec 12;24(1):108-123. doi: 10.1093/biostatistics/kxab037. Biostatistics. 2022. PMID: 34752610 Free PMC article.

5

Autoantibody profiling to identify biomarkers of key pathogenic pathways in mucinous ovarian cancer.

Tang L, Yang J, Ng SK, Rodriguez N, Choi PW, Vitonis A, Wang K, McLachlan GJ, Caiazzo RJ Jr, Liu BC, Welch WR, Cramer DW, Berkowitz RS, Ng SW. Tang L, et al. Among authors: mclachlan gj. Eur J Cancer. 2010 Jan;46(1):170-9. doi: 10.1016/j.ejca.2009.10.003. Eur J Cancer. 2010. PMID: 19926475 Free PMC article.

6

Clustering of gene expression data via normal mixture models.

McLachlan GJ, Flack LK, Ng SK, Wang K. McLachlan GJ, et al. Methods Mol Biol. 2013;972:103-19. doi: 10.1007/978-1-60327-337-4_7. Methods Mol Biol. 2013. PMID: 23385534

7

Clustering.

McLachlan GJ, Bean RW, Ng SK. McLachlan GJ, et al. Methods Mol Biol. 2017;1526:345-362. doi: 10.1007/978-1-4939-6613-4_19. Methods Mol Biol. 2017. PMID: 27896751

8

A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction.

Tawiah R, McLachlan GJ, Ng SK. Tawiah R, et al. Among authors: mclachlan gj. Biometrics. 2020 Sep;76(3):753-766. doi: 10.1111/biom.13202. Epub 2020 Jan 7. Biometrics. 2020. PMID: 31863594

9

Maternity length of stay modelling by gamma mixture regression with random effects.

Lee AH, Wang K, Yau KK, McLachlan GJ, Ng SK. Lee AH, et al. Among authors: mclachlan gj. Biom J. 2007 Aug;49(5):750-64. doi: 10.1002/bimj.200610371. Biom J. 2007. PMID: 17722201

10

An EM-based semi-parametric mixture model approach to the regression analysis of competing-risks data.

Ng SK, McLachlan GJ. Ng SK, et al. Among authors: mclachlan gj. Stat Med. 2003 Apr 15;22(7):1097-111. doi: 10.1002/sim.1371. Stat Med. 2003. PMID: 12652556

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