Center for AIDS Research

Biostatistics Core

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Mimi Kim, ScD
The overall goal of the Einstein-Montefiore CFAR Biostatistical Core is to provide CFAR investigators with a robust, innovative, comprehensive, and efficient system for statistical support that will contribute significantly to the quest for a greater scientific understanding of HIV infection and AIDS, and ultimately accelerate the development of improved prevention, detection, and treatment strategies.

Core Mission

  • Provide statistical and epidemiologic support for all phases of HIV/AIDS research studies
  • Provide biostatistical support for new HIV/AIDS-related research initiatives and the development of protocols and applications for regulatory approval and peer-reviewed funding
  • Develop novel statistical methods relevant to emerging approaches to study design.
  • Provide training and mentoring to CFAR members in research and biostatistical analysis methodology

Core Facilities

  • Advanced hardware and software for high quality statistical support and computational data storage and analysis.
  • Access to a wide range of biostatistical experise for consultation by CFAR members.
  • Statistical software packages: SAS, S-Plus, R, Stata, SPSS, StatXact, NCSS/PASS
  • Microarray data analysis software including BRB-Array Tools, Bioconductor, GeneTraffic, and Pathway Assist   

Core Services

  • Statistical expertise in the design of many different types of biomedical studies including clinical trials, epidemiological studies, statistical genetics, longitudinal data analysis genetic/epigenomic data analysis, power analysis and sample size determination.
  • Evaluating the reliability and validity of new technologies in response to the methodological needs of investigators.   
  • Statistical support for the identification of appropriate graphical and statistical approaches for visualizing, summarizing and analyzing clinical and translational data.

Core Training Programs

  • Biostatistics and Study Design: Identifying and Avoiding Common Errors
  • Statistical methods in comparative effectiveness research
  • Meta-analysis
  • Current approaches for adjusting for confounding in observational studies
  • Microarray data pre-processing and normalization, methylation analysis, DNA sequence analysis.
  • Clinical trial design and protocol development
  • Sample size determination and power calculations
  • Statistical software training in use of SPSS, SAS, and other commonly used software programs
  • Genomic and genetic research: Study design considerations

Accessing the Core

  • Consulting without appointments is available every Tuesday from 3-5pm in Belfer 1006E at the East Campus-where CFAR investigators can drop by and receive advice about their projects from statisticians.
  • To access Core services please contact Dr. Mimi Kim or submit an online request using the link below (specify the affiliated center as “Center for AIDS Research”): http://informatics.ric.einstein.yu.edu/ictr/biostat.login 

Recent Core Publications

1. Brust JC, Berman AR, Zalta B, Haramati LB, Ning Y, Heo M, van der Merwe TL, Bamber S, Moll AP, Friedland GH, Shah NS, Gandhi NR. Chest Radiograph Findings and Time to Culture Conversion in Patients with Multidrug-Resistant Tuberculosis and HIV in Tugela Ferry, South Africa. PLoS ONE. 2013;8(9):e73975. Epub 2013/09/17. doi: 10.1371/journal.pone.0073975. PubMed Central PMCID: PMC3765317.

2. Cheshenko N, Trepanier JB, Stefanidou M, Buckley N, Gonzalez P, Jacobs W, Herold BC. HSV activates Akt to trigger calcium release and promote viral entry: novel candidate target for treatment and suppression. Faseb J. 2013;27(7):2584-99. Epub 2013/03/20. doi: 10.1096/fj.12-220285. PubMed Central PMCID: PMC3688744.

3. Herold BC, Keller MJ, Shi Q, Hoover DR, Carpenter CA, Huber A, Parikh UM, Agnew KJ, Minkoff H, Colie C, Nowicki MJ, D'Souza G, Watts DH, Anastos K. Plasma and mucosal HIV viral loads are associated with genital tract inflammation in HIV-infected women. J Acquir Immune Defic Syndr. 2013;63(4):485-93. Epub 2013/04/18. doi: 10.1097/QAI.0b013e3182961cfc. PubMed Central PMCID: PMC3706034.

4. Kuniholm MH, Anastos K, Kovacs A, Gao X, Marti D, Sette A, Greenblatt RM, Peters M, Cohen MH, Minkoff H, Gange SJ, Thio CL, Young MA, Xue X, Carrington M, Strickler HD. Relation of HLA class I and II supertypes with spontaneous clearance of hepatitis C virus. Genes and immunity. 2013;14(5):330-5. Epub 2013/05/03. doi: 10.1038/gene.2013.25. PubMed PMID: 23636221; PubMed Central PMCID: PMC3723800.

5. Kuniholm MH, Parrinello CM, Anastos K, Augenbraun M, Plankey M, Nowicki M, Peters M, Golub ET, Lurain N, Landay AL, Strickler HD, Kaplan RC. Hepatitis C viremia is associated with cytomegalovirus IgG antibody levels in HIV-infected women. PLoS ONE. 2013;8(4):e61973. Epub 2013/04/25. doi: 10.1371/journal.pone.0061973. PubMed PMID: 23613990; PubMed Central PMCID: PMC3629158.

6. Megra B, Eugenin E, Roberts T, Morgello S, Berman JW. Protease Resistant Protein Cellular Isoform (PrP) as a Biomarker: Clues into the Pathogenesis of HAND. J Neuroimmune Pharmacol. 2013. Epub 2013/04/26. doi: 10.1007/s11481-013-9458-4. PubMed PMID: 23616272.

7. Nixon B, Fakioglu E, Stefanidou M, Wang Y, Dutta M, Goldstein H, Herold BC. Genital Herpes Simplex Virus Type 2 Infection in Humanized HIV-Transgenic Mice Triggers HIV Shedding and Is Associated With Greater Neurological Disease. J Infect Dis. 2013. Epub 2013/08/31. doi: 10.1093/infdis/jit472. PubMed PMID: 23990571.

 

 

Core Leadership

Mimi Kim, ScD
Director

Tel: 718.430.2017
mimi.kim@einstein.yu.edu 

 
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