Tu XM - Search Results

1

Distribution-free models for longitudinal count responses with overdispersion and structural zeros.

Yu Q, Chen R, Tang W, He H, Gallop R, Crits-Christoph P, Hu J, Tu XM. Yu Q, et al. Among authors: tu xm. Stat Med. 2013 Jun 30;32(14):2390-405. doi: 10.1002/sim.5691. Epub 2012 Dec 12. Stat Med. 2013. PMID: 23239019 Free PMC article. Review.

2

On performance of parametric and distribution-free models for zero-inflated and over-dispersed count responses.

Tang W, Lu N, Chen T, Wang W, Gunzler DD, Han Y, Tu XM. Tang W, et al. Among authors: tu xm. Stat Med. 2015 Oct 30;34(24):3235-45. doi: 10.1002/sim.6560. Epub 2015 Jun 15. Stat Med. 2015. PMID: 26078035 Free PMC article.

3

Variable selection for distribution-free models for longitudinal zero-inflated count responses.

Chen T, Wu P, Tang W, Zhang H, Feng C, Kowalski J, Tu XM. Chen T, et al. Among authors: tu xm. Stat Med. 2016 Jul 20;35(16):2770-85. doi: 10.1002/sim.6892. Epub 2016 Feb 4. Stat Med. 2016. PMID: 26844819

4

Rank-preserving regression: a more robust rank regression model against outliers.

Chen T, Kowalski J, Chen R, Wu P, Zhang H, Feng C, Tu XM. Chen T, et al. Among authors: tu xm. Stat Med. 2016 Aug 30;35(19):3333-46. doi: 10.1002/sim.6930. Epub 2016 Mar 2. Stat Med. 2016. PMID: 26934999

5

Power analyses for longitudinal trials and other clustered designs.

Tu XM, Kowalski J, Zhang J, Lynch KG, Crits-Christoph P. Tu XM, et al. Stat Med. 2004 Sep 30;23(18):2799-815. doi: 10.1002/sim.1869. Stat Med. 2004. PMID: 15344187 Review.

6

Power analyses for correlations from clustered study designs.

Tu XM, Kowalski J, Crits-Christoph P, Gallop R. Tu XM, et al. Stat Med. 2006 Aug 15;25(15):2587-606. doi: 10.1002/sim.2273. Stat Med. 2006. PMID: 16025545

7

Power analyses for longitudinal study designs with missing data.

Tu XM, Zhang J, Kowalski J, Shults J, Feng C, Sun W, Tang W. Tu XM, et al. Stat Med. 2007 Jul 10;26(15):2958-81. doi: 10.1002/sim.2773. Stat Med. 2007. PMID: 17154250

8

Correlation analysis for longitudinal data: applications to HIV and psychosocial research.

Tu XM, Feng C, Kowalski J, Tang W, Wang H, Wan C, Ma Y. Tu XM, et al. Stat Med. 2007 Sep 30;26(22):4116-38. doi: 10.1002/sim.2857. Stat Med. 2007. PMID: 17342700

9

On the implication of structural zeros as independent variables in regression analysis: applications to alcohol research.

He H, Wang W, Crits-Christoph P, Gallop R, Tang W, Chen DD, Tu XM. He H, et al. Among authors: tu xm. J Data Sci. 2014 Jul;12(3):439-460. J Data Sci. 2014. PMID: 28989340 Free PMC article.

10

On the impact of parametric assumptions and robust alternatives for longitudinal data analysis.

Lu N, Tang W, He H, Yu Q, Crits-Christoph P, Zhang H, Tu X. Lu N, et al. Biom J. 2009 Aug;51(4):627-43. doi: 10.1002/bimj.200800186. Biom J. 2009. PMID: 19688758 Free PMC article.

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