Statistics

Multiply robust estimation of marginal structural models in observational studies subject to covariate-driven observations

BIOMETRICS, 80(3).

Assessing predictability of environmental time series with statistical and machine learning models

Bonas, M., Datta, A., Wikle, C. K., Boone, E. L., Alamri, F. S., Hari, B. V., … Castruccio, S. (2024, July 5). ENVIRONMETRICS.

Estimating spatially varying health effects of wildland fire smoke using mobile health data

Journal of the Royal Statistical Society Series C: Applied Statistics.

Risk Analysis Methods for Nuclear War and Nuclear Terrorism

Time for CHANGE: system-level interventions for bringing forward the date of effective use of NAMs in regulatory toxicology

Mathisen, G. H., Bearth, A., Jones, L. B., Hoffmann, S., Vist, G. E., Ames, H. M., … Whaley, P. (2024, June 14). ARCHIVES OF TOXICOLOGY.

Predicting responses to climate change using a joint species, spatially dependent physiologically guided abundance model

Custer, C. A., North, J. S., Schliep, E. M., Verhoeven, M. R., Hansen, G. J. A., & Wagner, T. (2024, June 20). ECOLOGY, Vol. 6.

A statistical primer on classical period-finding techniques in astronomy

REPORTS ON PROGRESS IN PHYSICS, 87(7).

A framework to identify fatigue failure of asphalt binders under multiple aging levels using linear amplitude and time sweep testing

INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, 25(1).

A randomized, controlled clinical trial demonstrates improved owner-assessed cognitive function in senior dogs receiving a senolytic and NAD plus precursor combination

SCIENTIFIC REPORTS, 14(1).

Calibration and validation of DRAINMOD to predict long-term permeable pavement hydrology

JOURNAL OF HYDROLOGY, 637.

Optimal designs for two-stage inference

Stallrich, J., & McKibben, M. (2024, May 6). JOURNAL OF QUALITY TECHNOLOGY.

Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Noncancer and Developmental/Reproductive Effects

Kvasnicka, J., Aurisano, N., Borries, K., Lu, E.-H., Fantke, P., Jolliet, O., … Chiu, W. A. (2024, May 2). ENVIRONMENTAL SCIENCE & TECHNOLOGY.

Predicting Microbiome Growth Dynamics under Environmental Perturbations

Applied Microbiology.

Tell your story: Metrics of success for academic data science collaboration and consulting programs

STAT, 13(2).

Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning

Shen, Y., Cai, H., & Song, R. (2024, May 29). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION.

From FMECA to Decision: A Fully Bayesian Reliability Process

MILITARY OPERATIONS RESEARCH, 29(1).

The R2D2 Prior for Generalized Linear Mixed Models

Yanchenko, E., Bondell, H. D., & Reich, B. J. (2024, May 23). AMERICAN STATISTICIAN, Vol. 5.

Catalysing virtual collaboration: The experience of the remote TIES working groups

Meis, M., Pirani, M., Euan, C., Castruccio, S., Simmons, S., Stroud, J. R., … Gel, Y. (2024, May 23). ENVIRONMETRICS.

Regime-based precipitation modeling: A spatio-temporal approach

SPATIAL STATISTICS, 60.

Measurement of Hydro-EVE and 6:2 FTS in Blood from Wilmington, North Carolina, Residents, 2017-2018

Kotlarz, N., McCord, J., Wiecha, N., Weed, R. A., Cuffney, M., Enders, J. R., … Hoppin, J. A. (2024, February). ENVIRONMENTAL HEALTH PERSPECTIVES, Vol. 132.