121 S. Main Street
Providence, RI 02912
Phone:+1 401 863 9243
Read Joseph Hogan's full Faculty Profile.
My research concerns statistical methods for missing data, causal inference, and sensitivity analysis, especially in HIV/AIDS. Much of my recent work focuses on HIV in sub-Saharan Africa. Current projects include development of methods for analysis of large-scale observational data, optimizing use of limited information for clinical monitoring of patients on antiviral therapy, and analysis of HIV sequence data in studies of drug resistance.
I am a faculty member in the Department of Biostatistics and the Center for Statistical Sciences, and have been on the Brown faculty since 1995. I completed my doctoral work in biostatistics at Harvard under the direction of Nan Laird. Prior to that I taught high school mathematics in Los Angeles.
My research concerns the development of statistical methods for missing data, causal inference, and sensitivity analysis, with focus on applications in HIV and behavioral sciences. I have a long-standing interest in HIV and AIDS, which still exerts an enormous burden on society, particularly the most vulnerable; I am inspired by the contributions statisticians have made to understanding, treating and preventing HIV, and am motivated by what remains to be done.
As part of my collaborations in HIV, I serve as Co-Director of the Biostatistics Program for AMPATH, an international consortium of universities in the US, Canada and Kenya focused on treatment and prevention of HIV in Kenya; co-Director of the Biostatistics Core for the Lifespan/Tufts/Brown Center for AIDS Research; and PI for the Biostatistics Core for the Brown Alcohol Research Center for HIV. My basic and collaborative research is funded by the NIH and USAID.
I teach both introductory and advanced courses in biostatistics, and supervise 1-2 PhD students at any given time. Between 2003 and 2012 I directed the Biostatistics Graduate Program.
Current projects include:
- Statistical methods for observational event history data. Here we are developing methods for sampling and then analyzing data from an electronic medical record system in order to determine the optimal timing of initiation of antiviral therapy for those who are coinfected with HIV and TB.
- Optimal use of limited resources for clinical monitoring. Monitoring individuals on first-line HIV therapy requires use of viral load testing; however, this is a limited resource in much of sub-Saharan Africa. We are developing methods to combine low-cost clinical markers with limited use of more expensive viral load testing to maximize diagnostic accuracy subject to cost constraints.
- Statistical methods for representing uncertainty attributable to untestable assumptions. Many statistical models, such as those designed to draw causal inference from nonexperimental data, or those fit to incomplete data, rely on assumptions that cannot be tested (e.g., 'missing at random', or 'no unmeasured confounding'). This line of work is particularly important to analysis of clinical trials data (which forms the basis of most regulatory evaluations of new drugs and devices), and to 'patient-centered outcomes research' (which relies on analysis of large non-experimental datasets like electronic health records).
I am interested in developing models that clearly encode these assumptions, and then properly reflect the uncertainty about whether they actually hold in specific settings. My current work in this topic concerns the use prior distributions to represent untestable assumptions through one or more easily interpreted parameters that represent untestable assumptions.
Sc.D., Harvard University, 1995
Manning Assistant Professor, Brown University (2000-2003)
Fellow of the American Statistical Association (Elected 2008)
Journal of the American Statistical Association
(Kenya, US, Canada)
American Statistical Association
International Biometric Society
Institute of Mathematical Statistics
American Academy for the Advancement of Science
I teach both introductory and advanced courses in biostatistics. Recently I developed a seminar on research methods in biostatistics, focusing on developing comparative reviews of statistical literature, design of numerical simulation studies, delivery of oral presentations, and writing of manuscripts and grant applications.
I have also developed and presented several short coures on methods for longitudinal data and missing data, delivered at scientific conferences, universities, and private companies.
New Approaches to Mediation Analysis Using Causal Inference Methods
Agency: NIH/NIAAA (RC1 AA 019186)
Period: 09/30/09 02/28/13
Core or Program Director
Lifespan/Tufts/Brown Center for AIDS Research
Agency: NIH/NIAID (P30 AI 42853)
Period: 09/01/98 06/30/17
Alcohol Research Center for HIV
Agency: NIH/NIAAA (P01 AA 019072)
Period: 9/30/10 8/31/15
AMPATH: Controlling and Preventing HIV/AIDS in Western Kenya
Agency: USAID (623-A-00-0-08-00003-00)
Period: 10/01/08 09/30/17
HIV-1 Drug Resistance in Different Subtypes
PI: Rami Kantor, MD, Brown University/Miriam Hospital
Agency: NIH/NIAID (R01 AI 066922)
Period: 09/01/08 08/31/13
A Stage-2 Cognitive-Behavioral Trial: Reduce Alcohol First in Kenya Intervention
PI: Rebecca Papas, PhD, Brown University
Agency: NIH/NIAAA (R01 AA 020805)
Period: 09/01/11 08/31/16
Optimizing Linkage and Retention to Hypertension Care in Rural Kenya
PI: Valentin Fuster, MD, New York University
Agency: NIH/NHLBI (U01 HL 114200)
Orphaned & Separated Children's Assessment Related to their Health & Well-Being
PI: Paula Braitstein, PhD, Indiana University
Agency: NIH/NICHD (R01 HD 060478)
Period: 9/15/09 07/31/14
Improving Linkage to HIV Care Following Release from Incarceration (LINCS)
PI: Josiah Rich, MD, Brown University / Miriam Hospital
Agency: NIH/NIDA (R01 DA 030778)
Period: 11/01/12 06/30/13
ASANTE Cardiovascular Pulmonary Disease Center of Excellence
PI: Sylvester Kimaiyo, MD, Moi University School of Medicine, Eldoret, Kenya
Agency: NHLBI/NIH (N01-HV-98221)
Period: 07/01/09 06/30/14
Neuromarkers of Age-Related Cognitive Decline
PI: Robert Paul, MD, University of Missouri St. Louis
Agency: NIH/NINDS (R01 NS 052470)
Period: 07/01/07 06/30/12
Download Joseph Hogan's Curriculum Vitae in PDF Format