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Items: 6

1.

A two-phase Bayesian methodology for the analysis of binary phenotypes in genome-wide association studies.

Joyner C, McMahan C, Baurley J, Pardamean B.

Biom J. 2019 Sep 4. doi: 10.1002/bimj.201900050. [Epub ahead of print]

PMID:
31482590
2.

Biosignature Discovery for Substance Use Disorders Using Statistical Learning.

Baurley JW, McMahan CS, Ervin CM, Pardamean B, Bergen AW.

Trends Mol Med. 2018 Feb;24(2):221-235. doi: 10.1016/j.molmed.2017.12.008. Epub 2018 Feb 4. Review.

3.

A Bayesian hierarchical model for identifying significant polygenic effects while controlling for confounding and repeated measures.

McMahan C, Baurley J, Bridges W, Joyner C, Kacamarga MF, Lund R, Pardamean C, Pardamean B.

Stat Appl Genet Mol Biol. 2017 Nov 27;16(5-6):407-419. doi: 10.1515/sagmb-2017-0044.

PMID:
29140792
4.

Changing colorectal cancer trends in Asians.

Pardamean B, Baurley JW, Pardamean CI, Figueiredo JC.

Int J Colorectal Dis. 2016 Aug;31(8):1537-8. doi: 10.1007/s00384-016-2564-z. Epub 2016 Mar 29. Review. No abstract available.

PMID:
27023627
5.
6.

The use of targeting criteria in hospitalized HMO patients: results from the demonstration phase of the Hospitalized Older Persons Evaluation (HOPE) Study.

Reuben DB, Wolde-Tsadik G, Pardamean B, Hammond B, Borok GM, Rubenstein LZ, Beck JC.

J Am Geriatr Soc. 1992 May;40(5):482-8.

PMID:
1634702

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