Peer-reviewed articles

Statistics theory and methodology

Takatsu, K. and Westling, T. (2024+). Debiased inference for a covariate-adjusted regression function. Journal of the Royal Statistical Society: Series B (Statistical Methodology), accepted. arXiv:2210.06448

Yang, J., Bhattacharhya, R., Lee, Y., and Westling, T. (2024). Statistical and Causal Robustness for Causal Null Hypothesis Tests. 40th Conference on Uncertainty and Artificial Intelligence, accepted. arXiv:2310.10393

Ye, T., Westling, T., Page, L., and Keele, L. Nonparametric identification of causal effects in clustered observational studies with differential selection. Journal of the Royal Statistical Society: Series A, to appear. arXiv:2206.10364

Wu, Y. and Westling, T. (2023). Nonparametric inference under a monotone hazard ratio order. Electronic Journal of Statistics, 17(2):3181-3225. doi:10.1214/23-EJS2173.

Westling, T., Luedtke, A., Gilbert, P., and Carone, M. Inference for treatment-specific survival curves using machine learning. Journal of the American Statistical Association, to appear. arXiv:2106.06602.

Westling, T., Downes, K. J., and Small, D. (2023). Nonparametric maximum likelihood estimation under a likelihood ratio order. Statistica Sinica, 33, 1-19. doi:10.5705/ss.202020.0207. arXiv:1904.12321

Westling, T. (2022) Nonparametric tests of the causal null with non-discrete exposures. Journal of the American Statistical Association, 117(539):1551-1562. doi:10.1080/01621459.2020.1865168. arXiv:2001.05344.

Balzer, L. and Westling, T. (2021) Demystifying Statistical Inference When Using Machine Learning in Causal Research. American Journal of Epidemiology, kwab200. doi:10.1093/aje/kwab200.

Ng, T. L., Murphy, T. B., Westling, T., McCormick, T. H., and Fosdick, B. K. (2021). Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel. Annals of Applied Statistics, 15(4):1923-1944. doi:10.1214/21-AOAS1483.

Westling, T., van der Laan, M. J., and Carone, M. (2020). Correcting an estimator of a multivariate monotone function with isotonic regression. Electronic Journal of Statistics, 14(2):3032–3069. doi:10.1214/20-EJS1740. arXiv:1810.09022.

Westling, T., Gilbert, P., and Carone, M. (2020). Causal isotonic regression. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 82(3):719—747. doi:10.1111/rssb.12372. PDF. Supplementary Material. Code. arXiv:1810.03269.

Westling, T. and Carone, M. (2020). A unified study of nonparametric inference for monotone functions. Annals of Statistics, 48(2):1001—1024. doi:10.1214/19-AOS1835. PDF. Supplementary Material. arXiv:1806.01928.

Westling, T., Juraska, M., Seaton, K., Tomaras, G., Gilbert, P., and Janes, H. (2020). Methods for comparing durability of immune responses between vaccine regimens in early-phase trials. Statistical Methods in Medical Research, 29(1):78—93. doi:10.1177/0962280218820881. PDF. Supplementary Material.

Westling, T. and McCormick, T. H. (2019). Beyond Prediction: A Framework for Inference With Variational Approximations in Mixture Models. Journal of Computational and Graphical Statistics, 28(4):778-789. doi:10.1080/10618600.2019.1609977. PDF. Supplementary Material. Code. arXiv:1510.08151.

Fosdick, B. K., McCormick, T. H., Murphy, T. B., Ng, T. L., and Westling, T. (2019). Multiresolution network models. Journal of Computational and Graphical Statistics, 28(1):185-196. doi:10.1080/10618600.2018.1505633. PDF. Code. arXiv:1608.07618.

Scientific collaborations

Ramgopal S., Westling T., Siripong N., Salcido D., Martin-Gill C. (2021) Use of a metalearner to predict emergency medical services demand in an urban setting. Computational Methods and Programs in Biomedicine, 207:106201. doi:10.1016/j.cmpb.2021.106201.

Fisher, B. T., Westling, T., Boge, C. K., et al. (2021) Prospective Evaluation of Galactomannan and (1→3) Beta-D-Glucan Assays as Diagnostic Tools for Invasive Fungal Disease in Children, Adolescents and Young Adults with Acute Myeloid Leukemia Receiving Fungal Prophylaxis. Journal of the Pediatric Infectious Diseases Society, 10(8):864-871. doi:10.1093/jpids/piab036.

Westling, T., Cowden, C., Mwananyanda, L., et al. (2020). Impact of Chlorhexidine Baths on Suspected Sepsis and Bloodstream Infections in Hospitalized Neonates in Zambia. International Journal of Infectious Diseases, 96:54-60. doi:10.1016/j.ijid.2020.03.043.

Harbison, R. A., Gray, A. J., Westling, T., Carone, M., Rodriguez, C. P., Futran, N., Cannon, R., and Houlton, J. J. (2020). The role of elective neck dissection in high-grade parotid malignancy: a hospital-based cohort study. The Laryngoscope, 130:1487–1495. doi:10.1002/lary.28238.

Yousem, D. M., Camargo, A., Yousem, K. P., Westling, T., and Carone, M. (2019). Ethical Dilemmas in Radiology: Survey of Opinions and Experiences. American Journal of Roentgenology, 213(6): 1274-1283. doi:10.2214/AJR.19.21121.

Saranya, S., Luedtke, A., Langevin, E., Zhu, M., Bonaparte,  M., Machabert, T., Savarino, S., Zambrano, B., Moureau, A., Khromava, A., Moodie, Z., Westling T., et al. (2018). Effect of Dengue Serostatus on Dengue Vaccine Safety and Efficacy. New England Journal of Medicine, 379(4):327-340. doi:10.1056/NEJMoa1800820.

Submitted or under revision

Tang, Z. and Westling, T. (2024). Consistency of the bootstrap for asymptotically linear estimators based on machine learning. arXiv:2404.03064

Ham, D., Westling, T., and Doss, C. (2024). Doubly robust estimation and inference for a log-concave counterfactual density. arXiv:2403.19917

Tang, Z. and Westling, T. (2023). Nonparametric Assessment of Variable Selection and Ranking Algorithms. arXiv:2308.11593