HIV/AIDS has been an international crisis for decades. All current research suggests that there is not likely to be any medical cure anytime soon, and that prevention is the best strategy that we can employ. However, notwithstanding that HIV/AIDS prevention has been the goal and primary focus of funding internationally for decades, we still see a sharp increase in the number of new HIV/AIDS cases across the globe annually. Clearly, there needs to be more focus and research dedicated to ensuring that we are using the best prevention techniques possible. My long term goal is to develop new methodologies for advancing clinical and community AIDS behavioral research. In addition, my aim is to develop new methods that will lead to enhanced HIV prevention interventions. This application supports the mission of the National Institute of Mental Health by providing methodologies for incomplete data, this will be used to help develop effective interventions and by providing training to position this candidate to engage in future research to improve the HIV prevention.
HIV/AIDS has been an international crisis for decades. All current research suggests that there is not likely to be any medical cure anytime soon, and that prevention is the best strategy that we can employ. My long term goal is to develop new methodologies for advancing clinical and community AIDS behavioral research. In addition, my aim is to develop new methods that will lead to enhanced HIV prevention interventions, In particular, methods to deal with incomplete data.
|Harel, Ofer; Mitchell, Emily M; Perkins, Neil J et al. (2018) Multiple Imputation for Incomplete Data in Epidemiologic Studies. Am J Epidemiol 187:576-584|
|Sun, BaoLuo; Perkins, Neil J; Cole, Stephen R et al. (2018) Inverse-Probability-Weighted Estimation for Monotone and Nonmonotone Missing Data. Am J Epidemiol 187:585-591|
|Perkins, Neil J; Cole, Stephen R; Harel, Ofer et al. (2018) Principled Approaches to Missing Data in Epidemiologic Studies. Am J Epidemiol 187:568-575|
|Matthews, Gregory J; Harel, Ofer; Aseltine Jr, Robert H (2017) A Review of Statistical Disclosure Control Techniques Employed by Web-Based Data Query Systems. J Public Health Manag Pract 23:e1-e4|
|Thomas, Neal; Harel, Ofer; Little, Roderick J A (2016) Analyzing clinical trial outcomes based on incomplete daily diary reports. Stat Med 35:2894-906|
|McGinniss, J; Harel, O (2016) Multiple Imputation in Three or More Stages. J Stat Plan Inference 176:33-51|
|Harel, Ofer; Nazzaro, Valerie (2016) Brief Report: Rethinking Data Collection for HIV Prevention Trials. J Acquir Immune Defic Syndr 72:462-4|
|Larose, Chantal; Harel, Ofer; Kordas, Katarzyna et al. (2016) Latent Class Analysis of Incomplete Data via an Entropy-Based Criterion. Stat Methodol 32:107-121|
|Bartlett, Jonathan W; Harel, Ofer; Carpenter, James R (2015) Asymptotically Unbiased Estimation of Exposure Odds Ratios in Complete Records Logistic Regression. Am J Epidemiol 182:730-6|
|Van Hook, Jennifer; Bachmeier, James D; Coffman, Donna L et al. (2015) Can we spin straw into gold? An evaluation of immigrant legal status imputation approaches. Demography 52:329-54|
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