Abba M. Krieger

• Adam Kapelner, Abba M. Krieger, Michael Sklar, Uri Shalit, David Azriel (2020), Harmonizing Fully Optimal Designs with Classic Randomization in Fixed Trial Experiments, The American Statistician, (to appear) ().
• Shawniqua Williams Roberson, Preya Shah, Vitoria Piai, Heather Gatens, Abba M. Krieger, Timothy H. Lucas II, Brian Litt (2020), Electrocorticography reveals spatiotemporal neuronal activation patterns of verbal fluency in patients with epilepsy, Neuropsychologia, 141 ().
• Robert J. Levy, Emmett Fitzpatrick, Estibaliz Castillero, Halley J. Shukla, Vaishali V. Inamdar, Arbi E. Aghali, Juan B. Grau, Nancy Rioux, Elisa Salvati, Samuel Keeney, Itzhak Nissim, Robert C. Gorman, Lubica Rauova, Stanley J. Stachelek, Chase Brown, Abba M. Krieger, Giovanni Ferrari (Under Revision), Inhibition and down regulation of the serotonin transporter contribute to the progression of degenerative mitral regurgitation.
• Antonio Frasca, Yingfei Xue, Alexander P. Kossar, Samuel Keeney, Christopher Rock, Andrey Zakharchenko, Matthew Streeter, Robert C. Gorman, Juan B. Grau, Isaac George, Joseph E. Bavaria, Abba M. Krieger (Under Review), Glycation and Serum Albumin Infiltration Contribute to the Structural Degeneration of Bioprosthetic Heart Valves.
• Shana D. Stites, Jeanine Gill, Emily A. Largent, Cara Fallon, Abba M. Krieger, Pamela Sankar, Jason Karlawish (2019), Effects Of Advances in Biomarker Based Diagnosis and Disease Modifying Treatment on Alzheimer’s Disease Stigma, Alzheimer's Association International Conference 2019, 15 (7S).
• Abba M. Krieger, David Azriel, Adam Kapelner (2019), Nearly random designs with greatly improved balance, Biometrika, 106 (3), pp. 695-701.
• Adam Kapelner, Abba M. Krieger, Michael Sklar, David Azriel (Under Review), Optimal Rerandomization via a Criterion that Provides Insurance Against Failed Experiments.
• Ruth Heller, Nilanjan Chatterjee, Abba M. Krieger, Jianxin Shi (2018), Post-selection Inference Following Aggregate Level Hypothesis Testing in Large Scale Genomic Data, Journal of the American Statistical Association, 113 (524), pp. 1770-1783.
• Andreas Buja, Natalia Volfovsky, Abba M. Krieger, Catherine Lord, Michael Wigler, Ivan Iossifov (2018), Damaging De Novo Mutations Diminish Motor Skills in Children on the Autism Spectrum, Proceedings of the National Academy of Sciences of the United States of America, 115(8): E1859-E1866 ().
• Kathryn A. Davis, Seth P. Devries, Abba M. Krieger, Temenuzhka Mihaylova, Daniela Minecan, Brian Litt, Joost B. Wagenaar, William C. Stacey (2018), The Effect of Increased Intracranial EEG Sampling Rates in Clinical Practice, Clinical Neurophysiology, 129 (2), pp. 360-367.
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Past Courses

• STAT1010 - Intro Business Stat

  Data summaries and descriptive statistics; introduction to a statistical computer package; Probability: distributions, expectation, variance, covariance, portfolios, central limit theorem; statistical inference of univariate data; Statistical inference for bivariate data: inference for intrinsically linear simple regression models. This course will have a business focus, but is not inappropriate for students in the college. This course may be taken concurrently with the prerequisite with instructor permission.

• STAT1020 - Intro Business Stat

  Continuation of STAT 1010 or STAT 1018. A thorough treatment of multiple regression, model selection, analysis of variance, linear logistic regression; introduction to time series. Business applications. This course may be taken concurrently with the prerequisite with instructor permission.

• STAT4300 - Probability

  Discrete and continuous sample spaces and probability; random variables, distributions, independence; expectation and generating functions; Markov chains and recurrence theory.

• STAT5100 - Probability

  Elements of matrix algebra. Discrete and continuous random variables and their distributions. Moments and moment generating functions. Joint distributions. Functions and transformations of random variables. Law of large numbers and the central limit theorem. Point estimation: sufficiency, maximum likelihood, minimum variance. Confidence intervals. A one-year course in calculus is recommended.

• STAT8990 - Independent Study

  Written permission of instructor, the department MBA advisor and course coordinator required to enroll.

• Fellow, International Statistical Institute, 2015
• Wharton MBA Core Award, 2010
• Journal of Advertising Research – Award for Best Paper of 2007 (received with co-authors Leonard Lodish and Ye Hu), 2008.
• Fellow, Institute of Mathematical Statistics, 2008
• Fellow, American Statistical Association, 1992
• Alpha Kappa Psi Award, Journal of Marketing, 1991
• Lindback Award for Distinguished Teaching, University of Pennsylvania
• Helen Kardon Moss Anvil Award for Teaching Excellence in the Wharton MBA Program
• David W. Hauck Award for Outstanding Teaching in the Wharton Undergraduate Program

Knowledge @ Wharton

• Retail’s Tough Reality: Lessons from Joann’s Closure, Knowledge @ Wharton - 03/05/2025
• Why Does Gender Income Inequality Still Exist in the U.S.?, Knowledge @ Wharton - 03/04/2025
• Women Moving Forward: Collected Insights, Knowledge @ Wharton - 03/04/2025
• How Ambiguity Aversion Affects Investment Choices, Knowledge @ Wharton - 03/04/2025
• What’s Behind the Secret Walls of Family Offices?, Knowledge @ Wharton - 03/03/2025
• Soccer Analytics with Ryan O’Hanlon, Knowledge @ Wharton - 02/28/2025
• The Business of Layoffs: Strategy or Short-Term Fix?, Knowledge @ Wharton - 02/28/2025
• The Cost of Cutting Social Security Taxes, Knowledge @ Wharton - 02/26/2025
• The Fed and Inflation: What’s Next?, Knowledge @ Wharton - 02/25/2025
• Algorithmic Management: Navigating the Gig Economy’s New Frontier | Lindsey Cameron, Knowledge @ Wharton - 02/25/2025