Ghebremichael | Ragon Institute of Mass General, MIT, and Harvard

Musie Ghebremichael

Musie Ghebremichael, PhD

Principal Investigator

Harvard School of Medicine

Associate Professor

Contact

(857) 268-7006

400TS 857

Visit Lab Website

Harvard Catalyst

Application and development of statistical methods

Research Overview

The Ghebremichael Lab specializes in the application and development of statistical methods, including data management, data analysis and more, for HIV/AIDS, TB, and immunologic research. We are dedicated to ensuring that studies are well-designed, correctly analyzed, clearly presented, and correctly interpreted.

We provide expertise in the planning, conduct and analysis of research with the goal of enhancing the scientific quality of research at the institute. We also provide training in software use, statistical analysis and other quantitative tools for members of the Ragon Institute. The training, given in either a course or a one-on-one meeting, includes education on statistical methods and software, such as SAS, R, and MATLAB.

About

Dr. Ghebremichael is a statistician at the Ragon Institute, an Associate Professor of Medicine at Harvard Medical School, and an Associate Investigator at the MGH Biostatistics Center. He provides statistical support to Ragon and Ragon-affiliated investigators. Dr. Ghebremichael received a bachelor's degree in mathematics from Asmara University, Eritrea, his PhD in statistics from Rice University, and completed a post-doctoral fellowship at Yale University with a primary research focus was on statistical methods applied to HIV/AIDS research. Before joining the Ragon Institute, he worked as a statistician for Harvard University Center for AIDS Research (HU CFAR) and the Dana Farber Cancer Institute.

Selected Publications

Comparison of the binormal and Lehman receiver operating characteristic curves.

Musie Ghebremichael, Haben Michael

Communications in Statistics-Simulation and Computation. 2022; 1-14

A Comparison of the Lehmann and GLM ROC Models.

Melissa Innerst, Jack D. Tubbs, Musie Ghebremichael.

Science Journal of Applied Mathematics and Statistics 2021; 9(2): 57 - 72

Minimum redundancy maximal relevance gene selection of apoptosis pathway genes in peripheral blood mononuclear cells of HIV-infected patients with antiretroviral therapy-associated mitochondrial toxicity

Bose E, Paintsil E, Ghebremichael M.

BMC Med Genomics. 2021 Dec 1;14(1):285.

Pre-HAART CD4+ T-lymphocytes as biomarkers of post-HAART immune recovery in HIV-infected children with or without TB co-infection

Gopalakrishnan V , Bose E , Nair U , Cheng Y , Ghebremichael M.

BMC Infect Dis. 2020 Oct 15;20(1):756

A comparison of machine learning techniques for classification of HIV patients with antiretroviral therapy-induced mitochondrial toxicity from those without mitochondrial toxicity

Lee J, Paintsil E, Gopalakrishnan V, Ghebremichael M.

BMC Med Res Methodol. 2019 Nov 27;19(1):216

Comparing the Diagnostics Accuracy of CD4+ T-Lymphocyte Count and Percent as a Surrogate Markers of Pediatric HIV Disease

Ghebremichael M, Michael H, Tubbs J, Paintsil E.

J Math Stat. 2019;15(1):55-64

The ROC Curve for Cohort Designs

Michael H, Tian L, and Ghebremichael M.

Biostatistics. 2019 Jul 1;20(3):433-451

Effect of Tuberculosis on Immune Restoration among HIV-Infected Patients Receiving Antiretroviral Therapy

Ghebremichael M, Habtemicael S.

Journal of Applied Statistics 2018; 45(13). 2357-2364