We provide biostatistical support that is readily available to CFAR investigators and to other CFAR Cores. In addition to making strategic contributions to the CFAR’s scientific dialog, we provide statistical consulting services that range from brief professional consultations to invention of new statistical methods. We collaborate on the framing of hypotheses and on the development of study designs, grant applications, journal articles and presentations, selection of statistical methods, performance of statistical computations and interpretive analyses, and research database management consultation and support.
The Biostatistics Core brings together CFAR investigators and professional biostatisticians who possess specialized expertise needed for CFAR research projects. We promote opportunities for faculty and students in the statistical sciences at UNC to participate in HIV/AIDS-related research and become members of the CFAR. The participating faculty of the Biostatistics Department forms an important component of the Biostatistics Core. We also promote training opportunities for CFAR investigators who are interested in the application of best statistical methods, and provide training opportunities for students and fellows who are assisting in AIDS-related studies. We recommend that investigators contact the Biostatistics Core in the earliest stage of new research efforts and well in advance of deadlines for grant applications, abstract submissions and protocol development.
Please contact the CFAR Biostatistics Core with new requests by e-mailing us at CFARbios@bios.unc.edu.
The goal of the Biostatistics Core is to support and enhance AIDS research of the UNC CFAR. We will accomplish these goals with the following Aims.
Provide a broad spectrum of collaborative biostatistical services
Develop, implement, and disseminate innovative statistical methods for HIV/AIDS research
Support priority CFAR initiatives and goals
Promote CFAR research within UNC, foster inter-CFAR collaborations, and support HIV/AIDS research networks
Provide biostatistical training, mentoring, and education
Engage in evaluation and strategic planning
By accomplishing these Aims the Biostatistics Core will continue to provide key statistical support for the UNC CFAR, ensuring sound statistical design, conduct, and analysis of research leading to a deeper understanding of the HIV epidemic.
Michael Hudgens, Ph.D.
Core Director iq option withdrawal
Dr. Hudgens is a Professor in the Department of Biostatistics at the University of North Carolina at Chapel Hill and is Director of the Biostatistics Core of the UNC Center for AIDS Research. He has extensive experience in collaborative research and statistical methodology development related to studies of infectious diseases and vaccines, with an emphasis on HIV. Dr. Hudgens has co-authored over 100 peer-reviewed papers in leading statistical journals such as Biometrika, Biometrics, JASA, and JRSS-B as well as top-tier biomedical journals such as the New England Journal of Medicine, Lancet, and Nature, and currently serves as an Associate Editor for Biometrics and JASA. He is an elected fellow of the American Statistical Association and has taught multiple graduate level biostatistics courses at UNC. Dr. Hudgens is the principal investigator or co-investigator on several NIH NIAID grants to develop novel statistical methodologies for application to infectious disease studies. He has served as lead statistician on multiple clinical trials sponsored by the NIH and CDC and currently serves on an advisory board to the FDA.
Chapel Hill, NC
Office Phone: 919.966.7253
Stephen R Cole, Ph.D.
Associate Core Director
Dr. Cole is a Professor of Epidemiology at UNC with an interest in quantitative epidemiologic methods. He is Associate Director of the Biostatistics Core of the UNC Center for AIDS Research, as well as Director of the Epidemiology and Biostatistics Core of the CFAR Network of Integrated Clinical Systems (CNICS). His research focuses on the use of structural models to explore the causal effect of antiretroviral therapies on HIV disease progression, and direct and indirect causal effects of alcohol intake on HIV acquisition. He is also a member of a Causal Inference Research Group (CIRG) at UNC.
Chapel Hill, NC
Office Phone: 919-966-7415
Katie Mollan, M.S.
Core Manager / Senior Biostatistician
Katie Mollan is a senior biostatistician at the UNC CFAR with over 10 years of HIV research experience. Her collaborative research background spans a breadth of topics in HIV/AIDS, including analysis of large randomized clinical trials, antiretroviral efficacy, psychiatric complications, adherence, drug resistance, pharmacokinetics, HIV testing, and SHIV vaccine development. Ms. Mollan has provided statistical support for grant proposals, HIV network proposals, protocol development, case report forms, database structure, data safety monitoring, statistical analyses, conference presentations, and manuscript preparation. Ms. Mollan has co-authored articles in several medical journals, including Annals of Internal Medicine, Journal of Infectious Diseases, Clinical Infectious Diseases, and the New England Journal of Medicine.
3126 McGavran-Greenberg Hall
Chapel Hill, NC
Office Phone: 919-966-8421
Camden Bay, M.S., Ph.D.
Cam Bay is a biostatistician at the UNC CFAR. He received his M.S. and Ph.D. at the University of Iowa in biostatistics and epidemiology (emphasis genetics), respectively. His past collaborative research evaluated genetic and environmental risk factors for facial clefting and dental malocclusion, the genetics of bone development, and colon cancer screening. He is interested in the design and analysis of longitudinal studies, data visualization, and regression modeling diagnostics.
4101 McGavran-Greenberg Hall
Chapel Hill, NC
Office Phone: 919-962-7360
Andrew Allmon, B.S.
Andrew Allmon is a Ph.D. student in the biostatistics department at UNC. He received his B.S. in Mathematics and Russian from Baylor University. Before coming to UNC he worked for Baylor Scott and White Health as a biostatistician analyzing the impact of pre-existing conditions on outcomes following a traumatic brain injury. In his free time he enjoys traveling, learning new languages, and cycling.
Ilana Trumble, B.S.
Ilana Trumble is a Ph.D. student in the biostatistics department at UNC. She received her B.S. in Applied Mathematics from the University of Colorado, Boulder. Before coming to UNC, she completed a summer research fellowship at Anschutz Medical Campus with University of Colorado Cancer Center analyzing mutation data of kinases.
Sarah Reifeis, B.S.
Sarah Reifeis is a Ph.D. student in the biostatistics department at UNC. She received her B.S. in Mathematics from Indiana University. Before coming to UNC she worked for the chemistry department at Indiana University as an undergraduate researcher conducting computational modeling of the HIV-1 capsid. Additionally, she worked for the biology department at Indiana University as a teaching assistant for two years. In her free time she enjoys hiking, scuba diving, and cooking.
The UNC CFAR Biostatistics Core offers a range of services to CFAR investigators, including:
- Training and Tutorial Consultation
- Planning and Study Design
- Grant Proposal Support
- Statistical Computation, Derivation, Interpretive Analysis and Publication
- Coordination and Project Management
- Statistical Methods Research and Development
Biostatistics Core Research Group
Meets bi-monthly on the 1st Wednesday of each month from 9:30-11:00am, rotating with the UCHCC Cohort meeting
The UNC CFAR Biostatistics Core hosts meetings among quantitative researchers interested in HIV research throughout the research triangle area, including CFAR members and quantitative researchers from UNC, FHI 360, and RTI. The BCRG, formed in spring 2013, provides opportunities for research synergy and networking, through cross-discipline discussion of quantitative methods in HIV/AIDS research. Meetings have been regularly attended by researchers from a range of quantitative fields, including biostatistics, epidemiology and pharmacokinetic modeling. Past presentation topics have included pharmacokinetic modeling, meta-analysis, measurement of viral load outcomes, and statistical methods for serial limiting dilution assays.
opcje binarne zysk “Type 3 rationality is to optimize causally-expected utility, within reason. Examples from HIV will be discussed.”
Speaker: Stephen R. Cole, PhD, Professor of Epidemiology
Wednesday, October 5, 2016
binäre optionen 10euro mindesteinzahlung “Statistical Methods for Viral Outgrowth Assays”
Speakers: Pedro Baldoni, MS and Sook-Kyung Lee, PhD
Wednesday, June 1, 2016
http://www.boligsalg-spanien.dk/?nlnl=binaire-opties-zijn-risicovol&29f=5c binaire opties zijn risicovol “HIV modeling: using a combination of agent-modeling and survival analysis.”
Georgiy Bobashev, PhD
Wednesday, November 4, 2015
metodo vincente sulle operazioni binarie 1 ora “Doubly Robust Estimation of Optimal Treatment Regimes for Survival Data – with an Application to UNC AIDS Data”
Tuesday, September 22, 2015
“Leveraging the HIV Cascade to Improve Public Health: Conceptual and Measurement Challenges”
Wednesday, March 4, 2015
opcje binarne najlepsza strategia “Generalizing Evidence from Randomized Trials and Observational Studies”
Ashley Buchanan, Daniel Westreich, and Katie Lesko
Wednesday, December 3, 2014
“Statistical Methods for Serial Limiting Dilution Assays”
Wednesday, September 3, 2014
“A measure to combine viral suppression and viral rebound in studies of HIV therapy”
Wednesday, June 11, 2014
“Hazard of Suicidality in Patients Randomly Assigned to Efavirenz for Initial Treatment of HIV-1”
Thursday, February 27, 2014
“FHI 360 Biostatistics & Epidemiology Brown Bag Lunch Seminar”
Pai-Lien Chen and Douglas Taylor
Monday, October 21, 2013
“Statistical Issues in Population Pharmacokinetic Modeling & Simulation”
Thursday, July 18, 2013
“UNC CFAR quantitative networking meeting”
Thursday, April 18, 2013
Power and Sample Size Boot Camp
An Overview of Biostatistics
Brief Statistical Safety Checklist
“To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.” – R.A. Fisher