David Ruppert

About

David Ruppert is the Andrew Schulz Jr. Professor of Engineering at the School of Operations Research and Information Engineering and also a Professor of Statistical Science at Cornell University. He holds a BA in Mathematics from Cornell University, an MA in Mathematics from the University of Vermont, and a PhD in Statistics and Probability from Michigan State University. His academic career includes positions as Assistant and Associate Professor of Statistics at the University of North Carolina, Chapel Hill, from 1977 to 1987. Professor Ruppert is a Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics (IMS), and he received the Wilcoxon Prize in 1986. Recognized as a highly cited researcher, he has been ranked 21st in mathematics by journal citations and has mentored 29 PhD students, many of whom are now leading researchers.

Research topics

• Mathematics
• Statistics
• Computer science
• Econometrics
• Applied mathematics

Selected publications

• Optimal Sampling for Generalized Linear Models Under Measurement Constraints

  Journal of Computational and Graphical Statistics · 2020-06-08 · 35 citations

  articleSenior author

  Under “measurement constraints,” responses are expensive to measure and initially unavailable on most of records in the dataset, but the covariates are available for the entire dataset. Our goal is to sample a relatively small portion of the dataset where the expensive responses will be measured and the resultant sampling estimator is statistically efficient. Measurement constraints require the sampling probabilities can only depend on a very small set of the responses. A sampling procedure that…

  PublisherDOI

• Proteomics and cytokine analyses distinguish myalgic encephalomyelitis/chronic fatigue syndrome cases from controls

  Journal of Translational Medicine · 2023-05-13 · 31 citations

  articleOpen access

  BACKGROUND: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex, heterogenous disease characterized by unexplained persistent fatigue and other features including cognitive impairment, myalgias, post-exertional malaise, and immune system dysfunction. Cytokines are present in plasma and encapsulated in extracellular vesicles (EVs), but there have been only a few reports of EV characteristics and cargo in ME/CFS. Several small studies have previously described plasma proteins…

  PublisherOA PDFDOI

• Model Checking for Logistic Models When the Number of Parameters Tends to Infinity

  Journal of Computational and Graphical Statistics · 2022-06-06 · 6 citations

  articleSenior author

  We propose a projection-based test to check logistic regression models when the dimension of the covariate vector may be divergent. The proposed test achieves a reduction in dimension, and the proposed method behaves as if only a single covariate is present. The test is shown to be consistent and can detect root-n local alternatives. We derive the asymptotic distribution of the proposed test under the null hypothesis and establish the test’s asymptotic behavior under the local and global alterna…

  PublisherDOI

• A novel approach to assessing the joint effects of mercury and fish consumption on neurodevelopment in the New Bedford Cohort

  American Journal of Epidemiology · 2024-06-28 · 5 citations

  articleOpen access

  Understanding health risks from methylmercury (MeHg) exposure is complicated by its link to fish consumption, which may confound or modify toxicities. One solution is to include fish intake and a biomarker of MeHg exposure in the same analytical model, but resulting estimates do not reflect the independent impact of accumulated MeHg or fish exposure. In fish-eating populations, this can be addressed by separating MeHg exposure into fish intake and average mercury content of the consumed fish. We…

  PublisherOA PDFDOI

• A semiparametric risk score for physical activity

  Statistics in Medicine · 2021-11-21 · 5 citations

  articleOpen accessSenior author

  We develop a generalized partially additive model to build a single semiparametric risk scoring system for physical activity across multiple populations. A score comprised of distinct and objective physical activity measures is a new concept that offers challenges due to the nonlinear relationship between physical behaviors and various health outcomes. We overcome these challenges by modeling each score component as a smooth term, an extension of generalized partially linear single-index models.…

  PublisherOA PDFDOI

Recent grants

• Nonparametric Regression

  NSF · $86k · 1998–2001

• Asymptotic Theory of Penalized Splines and Calibration of Computationally Expensive Models

  NSF · $180k · 2008–2012

Frequent coauthors

• Raymond J. Carroll

  University of Technology Sydney

  136 shared

• M. P. Wand

  57 shared

• David S. Matteson

  Cornell University

  46 shared

• Hua Liang

  24 shared

• Ciprian M. Crainiceanu

  Johns Hopkins University

  23 shared

• Heng Lian

  City University of Hong Kong

  16 shared

• Christine A. Shoemaker

  National University of Singapore

  16 shared

• Yixin Fang

  AbbVie (United States)

  16 shared

Education

• PhD, Statistics and Probability

  Michigan State University

  1977

• MA, Mathematics

  University of Vermont

  1973

• BA, Mathematics

  Cornell University

  1970

Awards & honors

• Wilcoxon Prize (1986)
• Fellow of the ASA
• Fellow of the IMS

Similar researchers at Cornell University

• Robert A. Jarrowh-68
• Adrian Lewish-54
• Andrea Lodih-53