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Gemechis Djira

G. Djira

Title

Professor

Office Building

Chicoine Architecture, Mathematics and Engineering Hall

Office

260

Mailing Address

Chicoine Architecture, Math and Engineering Building 260
Math & Statistics-Box 2225
University Station
Brookings, SD 57007

Biography

Gemechis Djira is a professor of biostatistics at the Department of Mathematics and Statistics, and the co-director of the SDSU Statistical Consulting Center (link to the right). He is passionate about providing statistical consulting service and has done so for many years. His current research interests are in various applications and methods development in simultaneous statistical inferences, structural equation modeling, sequential analysis, relative potency estimations, repeated measures and models for clustered categorical data.

Education

  • B.S. in statistics | Addis Ababa University
  • M.S. in statistics | Addis Ababa University
  • M.S. in applied statistics | Limburgs Universitair Centrum
  • M.S. in biostatistics | Limburgs Universitair Centrum
  • Ph.D. in biostatistics | Leibniz University Hannover

Academic Responsibilities

  • Biostatistics I and II (HSC 631 and 731) for Health Science Students
  • Biostatistics (STAT 731) for Statistics and Mathematics majors
  • Regression Analysis I (STAT 686)
  • Statistical Consulting 
  • Statistical Methods II (STAT 541) 
  • SAS Programming (STAT 4/510)
  • Advising M.S. and Ph.D. students

Committees and Professional Memberships

Committees

  • 2023-present, South Dakota State University Data Science Symposium Organizing Committee
  • 2020-2022, Student Success
  • 2019-2021, Assessment Academy

Professional Memberships

  • 2005-present, International Biometric Society, ENAR: Eastern North American Region

Grants

  • Djira, G. and Nleya, T. Providing Opportunities for Increased Minority High School Students Enrollment into University Agricultural Sciences, Mathematics, and Engineering Programs. USDA, 2014-2017, $150,000.
  • Kimn, J. and Djira, G. The Simulation and Analysis REU at South Dakota State University had four parts and one of which was Statistics.  Research Experience for Undergraduates (REU), SDSU, January 2012 - December 2014. 
  • Dalsted, K. Djira, G. Manning, J. and Puetz, J. National OSHA data were analyzed and reported on two occasions (FY 2009 & 2010) to assess the effectiveness of the OSHA Safety and Health Achievement Recognition Program (SHARP) over time. U.S. Department of Labor – Occupational Safety and Health Administration (OSHA), 2009-2010, $110,141.00.

Work Experience

  • May 2023-present, professor, South Dakota State University
  • September 2021-present, co-director, Statistical Consulting Service, South Dakota State University
  • 2015-August 2021, director, Statistical Consulting Service, South Dakota State University
  • August 2012 - May 2023, associate professor, Biostatistics, South Dakota State University
  • August 2007 - July 2013, assistant professor, Biostatistics, South Dakota State University
  • October 2002 - July 2007, research assistant, Institute of Biostatistics, University of Hannover
  • September 1990 - August 2000, lecturer, Department of Statistics, Addis Ababa University

Publications

Book Chapters: In - Modeling Dose-response Microarray Data in Early Drug Development Experiments Using R. Edited by Lin, D.; Shkedy, Z.; Yekutieli, D.; Amaratunga, D.; Bijnens, L. Springer.

  1. Lin, D., Hothorn, L.A., Djira, G.D., and Bretz, F. (2012). Multiple contrast tests for testing dose–response relationships under order-restricted alternatives. Chapter 15, pp233–248.
  2. Lin, D., Djira, G.D., Shkedy, Z., Burzykowski, T., and Hothorn, L.A. (2012).  Simultaneous inferences for ratio parameters using multiple contrasts tests. Chapter 16, pp249–258.
  3. Lin, D., Yekutieli, D., Djira, G.D., and Hothorn, L.A. (2012).  Multiple confidence intervals for selected ratio parameters adjusted for the false coverage-statement rate. Chapter 16, pp259–267.

Sample Peer-reviewed Publications:

  1. Dilba, G., Bretz, F., Guiard, V. (2006). Simultaneous confidence sets and confidence intervals for multiple ratios. Journal of Statistical Planning and Inference 136, 2640–2658.
  2. Dilba, G., Bretz, F., Hothorn, L.A., Guiard, V. (2006). Power and sample size computations in simultaneous tests for non-inferiority based on relative margins. Statistics in Medicine 25, 1131–1147.
  3. Djira, G.D. (2010). Relative potency estimation in parallel-line assays – Method comparison and some extensions. Communications in Statistics – Theory and Methods 39, 1180 1189.
  4. Padhy, B., Emo, K., Djira, G., and Deokar, A. (2015). Analyzing Factors Influencing Teaching as a Career Choice using Structural Equation Modeling. SAGE Open. DOI: 10.1177/2158244015570393.
  5. Segbehoe, L.S., Schaarschmidt, F., and Djira, G.D. (2022). Simultaneous confidence intervals for contrasts of quantiles. Biometrical Journal 64 (1), 7-19.
  6. Bulty, B.G., Gotu, B., and Djira, G. (2023). A spatial panel autoregressive model specification with inverse quantile separation distances of locations. Spatial Statistics (57). DOI: 10.1016/j.spasta.2023.100771.

Department(s)