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Items: 1 to 20 of 91

1.

Reactivation of Latent HIV-1 Expression by Engineered TALE Transcription Factors.

Perdigão P, Gaj T, Santa-Marta M, Barbas CF 3rd, Goncalves J.

PLoS One. 2016 Mar 2;11(3):e0150037. doi: 10.1371/journal.pone.0150037. eCollection 2016.

2.

Simplified Paper Format for Detecting HIV Drug Resistance in Clinical Specimens by Oligonucleotide Ligation.

Panpradist N, Beck IA, Chung MH, Kiarie JN, Frenkel LM, Lutz BR.

PLoS One. 2016 Jan 11;11(1):e0145962. doi: 10.1371/journal.pone.0145962. eCollection 2016.

3.

Statistical Methods for Establishing Personalized Treatment Rules in Oncology.

Ma J, Hobbs BP, Stingo FC.

Biomed Res Int. 2015;2015:670691. doi: 10.1155/2015/670691. Epub 2015 Sep 13. Review.

4.

Instrument Assisted Regression for Errors in Variables Models with Binary Response.

Xu K, Ma Y, Wang L.

Scand Stat Theory Appl. 2015 Mar;42(1):104-117.

5.

A direct method to evaluate the time-dependent predictive accuracy for biomarkers.

Shen W, Ning J, Yuan Y.

Biometrics. 2015 Jun;71(2):439-49. doi: 10.1111/biom.12293. Epub 2015 Mar 10.

6.

High-affinity RNA Aptamers Against the HIV-1 Protease Inhibit Both In Vitro Protease Activity and Late Events of Viral Replication.

Duclair S, Gautam A, Ellington A, Prasad VR.

Mol Ther Nucleic Acids. 2015 Feb 17;4:e228. doi: 10.1038/mtna.2015.1.

7.
8.

On optimal treatment regimes selection for mean survival time.

Geng Y, Zhang HH, Lu W.

Stat Med. 2015 Mar 30;34(7):1169-84. doi: 10.1002/sim.6397. Epub 2014 Dec 16.

9.

Bootstrap for the case-cohort design.

Huang Y.

Biometrika. 2014 Jun;101(2):465-476.

10.

Landmark Estimation of Survival and Treatment Effect in a Randomized Clinical Trial.

Parast L, Tian L, Cai T.

J Am Stat Assoc. 2014 Jan 1;109(505):384-394.

11.

Semiparametric analysis of linear transformation models with covariate measurement errors.

Sinha S, Ma Y.

Biometrics. 2014 Mar;70(1):21-32. doi: 10.1111/biom.12119. Epub 2013 Dec 18.

12.

Fast Censored Linear Regression.

Huang Y.

Scand Stat Theory Appl. 2013 Dec;40(4). doi: 10.1111/sjos.12031.

13.

The evolution of HIV-1 group M genetic variability in Southern Cameroon is characterized by several emerging recombinant forms of CRF02_AG and viruses with drug resistance mutations.

Agyingi L, Mayr LM, Kinge T, Orock GE, Ngai J, Asaah B, Mpoame M, Hewlett I, Nyambi P.

J Med Virol. 2014 Mar;86(3):385-93. doi: 10.1002/jmv.23846. Epub 2013 Nov 19.

14.

Expected estimating equation using calibration data for generalized linear models with a mixture of Berkson and classical errors in covariates.

Tapsoba JD, Lee SM, Wang CY.

Stat Med. 2014 Feb 20;33(4):675-92. doi: 10.1002/sim.5966. Epub 2013 Sep 6.

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16.

Empirical Likelihood-Based Estimation of the Treatment Effect in a Pretest-Posttest Study.

Huang CY, Qin J, Follmann DA.

J Am Stat Assoc. 2008 Sep 1;103(483):1270-1280.

17.

Posaconazole exhibits in vitro and in vivo synergistic antifungal activity with caspofungin or FK506 against Candida albicans.

Chen YL, Lehman VN, Averette AF, Perfect JR, Heitman J.

PLoS One. 2013;8(3):e57672. doi: 10.1371/journal.pone.0057672. Epub 2013 Mar 5.

18.

Approaches for identification of HIV-1 entry inhibitors targeting gp41 pocket.

Yu F, Lu L, Du L, Zhu X, Debnath AK, Jiang S.

Viruses. 2013 Jan 11;5(1):127-49. doi: 10.3390/v5010127. Review.

19.

Highly active antiretroviral therapy and adverse birth outcomes among HIV-infected women in Botswana.

Chen JY, Ribaudo HJ, Souda S, Parekh N, Ogwu A, Lockman S, Powis K, Dryden-Peterson S, Creek T, Jimbo W, Madidimalo T, Makhema J, Essex M, Shapiro RL.

J Infect Dis. 2012 Dec 1;206(11):1695-705. doi: 10.1093/infdis/jis553. Epub 2012 Oct 12.

20.

Semiparametric dimension reduction estimation for mean response with missing data.

Hu Z, Follmann DA, Qin J.

Biometrika. 2010 Jun;97(2):305-319. Epub 2010 Apr 23.

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