Publications | Alex Luedtke | Statistical Theory and Scientific Collaborations
Full list on Google Scholar.
† student or postdoc author
Statistical theory and methodology
Preprints
DoubleGen: Debiased generative modeling of counterfactuals.
A. Luedtke, K. Fukumizu. arXiv, 2025. [preprint][code]
A. Luedtke, K. Fukumizu. arXiv, 2025. [preprint][code]
Coreset selection for the Sinkhorn divergence and generic smooth divergences.
A. Kokot,† A. Luedtke. arXiv, 2025. [preprint][code]
A. Kokot,† A. Luedtke. arXiv, 2025. [preprint][code]
Automatic debiased machine learning for smooth functionals of nonparametric M-estimands.
L. van der Laan,† A. Bibaut, N. Kallus, A. Luedtke. arXiv, 2025. [preprint]
L. van der Laan,† A. Bibaut, N. Kallus, A. Luedtke. arXiv, 2025. [preprint]
Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts.
L. van der Laan,† M. Carone, A. Luedtke. arXiv, 2024. [preprint][code]
L. van der Laan,† M. Carone, A. Luedtke. arXiv, 2024. [preprint][code]
Propensity score augmentation in matching-based estimation of causal effects.
E. Ulloa-Perez,† M. Carone, A. Luedtke. arXiv, 2024. [preprint]
E. Ulloa-Perez,† M. Carone, A. Luedtke. arXiv, 2024. [preprint]
Doubly robust inference via calibration.
L. van der Laan,† A. Luedtke, M. Carone. arXiv, 2024. [preprint][code]
L. van der Laan,† A. Luedtke, M. Carone. arXiv, 2024. [preprint][code]
Adaptive debiased machine learning using data-driven model selection techniques.
L. van der Laan,† A. Luedtke, M. Carone. arXiv, 2023. [preprint]
L. van der Laan,† A. Luedtke, M. Carone. arXiv, 2023. [preprint]
2025
Simplifying debiased inference via automatic differentiation and probabilistic programming.
A. Luedtke. Journal of the Royal Statistical Society, Series B. [paper][preprint][code]
A. Luedtke. Journal of the Royal Statistical Society, Series B. [paper][preprint][code]
Data fusion using weakly aligned sources.
S. Li,† P. B. Gilbert, A. Luedtke. Journal of the American Statistical Association. [paper][preprint]
S. Li,† P. B. Gilbert, A. Luedtke. Journal of the American Statistical Association. [paper][preprint]
Stochastic gradients under nuisances.
F. Yu,† R. Mehta, A. Luedtke, Z. Harchaoui. Neural Information Processing Systems (NeurIPS) (in press). [preprint][code]
F. Yu,† R. Mehta, A. Luedtke, Z. Harchaoui. Neural Information Processing Systems (NeurIPS) (in press). [preprint][code]
Stabilized inverse probability weighting via isotonic calibration.
L. van der Laan,† Z. Lin,† M. Carone, A. Luedtke. Causal Learning and Reasoning, Proceedings of Machine Learning Research. [preprint]
L. van der Laan,† Z. Lin,† M. Carone, A. Luedtke. Causal Learning and Reasoning, Proceedings of Machine Learning Research. [preprint]
Estimation of subsidiary performance metrics under optimal policies.
Z. Li,† H. Nassif, A. Luedtke. Statistica Sinica (in press). [paper][preprint][code]
Z. Li,† H. Nassif, A. Luedtke. Statistica Sinica (in press). [paper][preprint][code]
2024
One-step estimation of differentiable Hilbert-valued parameters.
A. Luedtke, I. Chung†. Annals of Statistics. [paper][preprint][code]
A. Luedtke, I. Chung†. Annals of Statistics. [paper][preprint][code]
Can the potential benefit of individualizing treatment be assessed using trial summary statistics alone?
N. Galanter,† M. Carone, R. C. Kessler, A. Luedtke. American Journal of Epidemiology. [paper][preprint]
N. Galanter,† M. Carone, R. C. Kessler, A. Luedtke. American Journal of Epidemiology. [paper][preprint]
Inference for treatment-specific survival curves using machine learning.
T. Westling, A. Luedtke, P. Gilbert, M. Carone. Journal of the American Statistical Association. [paper][preprint][code]
T. Westling, A. Luedtke, P. Gilbert, M. Carone. Journal of the American Statistical Association. [paper][preprint][code]
Adversarial Monte Carlo meta-learning of conditional average treatment efects.
A. Luedtke, I. Chung†. Handbook of Statistical Methods for Precision Medicine, (Chapter 11). [chapter]
A. Luedtke, I. Chung†. Handbook of Statistical Methods for Precision Medicine, (Chapter 11). [chapter]
2023
Causal isotonic calibration for heterogeneous treatment effects.
L. van der Laan,† E. Ulloa-Pérez,† M. Carone, A. Luedtke. International Conference on Machine Learning (ICML). [paper][preprint][code]
L. van der Laan,† E. Ulloa-Pérez,† M. Carone, A. Luedtke. International Conference on Machine Learning (ICML). [paper][preprint][code]
Efficient estimation of the maximal association between multiple predictors and a survival outcome.
T. J. Huang,† A. Luedtke, I. McKeague. Annals of Statistics. [paper][preprint]
T. J. Huang,† A. Luedtke, I. McKeague. Annals of Statistics. [paper][preprint]
Efficient estimation under data fusion.
S. Li,† A. Luedtke. Biometrika. [paper][preprint]
S. Li,† A. Luedtke. Biometrika. [paper][preprint]
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data.
X. Li,† S. Li,† A. Luedtke. Journal of the Royal Statistical Society, Series B. [paper][preprint]
X. Li,† S. Li,† A. Luedtke. Journal of the Royal Statistical Society, Series B. [paper][preprint]
Adversarial meta-learning of Gamma-minimax estimators that leverage prior knowledge.
H. Qiu,† A. Luedtke. Electronic Journal of Statistics. [paper][preprint][code]
H. Qiu,† A. Luedtke. Electronic Journal of Statistics. [paper][preprint][code]
Marginal Bayesian posterior inference using recurrent neural networks with application to sequential models.
T. Fisher, A. Luedtke, M. Carone, N. Simon. Statistica Sinica. [paper]
T. Fisher, A. Luedtke, M. Carone, N. Simon. Statistica Sinica. [paper]
2022
Individualized treatment rules under stochastic treatment cost constraints.
H. Qiu,† M. Carone, A. Luedtke. Journal of Causal Inference. [paper][preprint]
H. Qiu,† M. Carone, A. Luedtke. Journal of Causal Inference. [paper][preprint]
Improved efficiency for cross-arm comparisons via platform designs.
T. J. Huang,† A. Luedtke, The AMP Investigator Group. Biostatistics. [paper][preprint]
T. J. Huang,† A. Luedtke, The AMP Investigator Group. Biostatistics. [paper][preprint]
Improved inference for vaccine-induced immune responses via shape-constrained methods.
N. Laha,† Z. Moodie, Y. Huang, A. Luedtke. Electronic Journal of Statistics. [paper][preprint]
N. Laha,† Z. Moodie, Y. Huang, A. Luedtke. Electronic Journal of Statistics. [paper][preprint]
A general adaptive framework for multivariate point null testing.
A. Elder,† M. Carone, P. Gilbert, A. Luedtke. arXiv. [tech rep]
A. Elder,† M. Carone, P. Gilbert, A. Luedtke. arXiv. [tech rep]
2021
Adversarial Monte Carlo meta-learning of optimal prediction procedures.
A. Luedtke, I. Chung,† O. Sofrygin. Journal of Machine Learning Research. [paper][code]
A. Luedtke, I. Chung,† O. Sofrygin. Journal of Machine Learning Research. [paper][code]
Optimal individualized decision rules using instrumental variable methods.
H. Qiu,† M. Carone, E. Sadikova, M. Petukhova, R. C. Kessler, A. Luedtke. Journal of the American Statistical Association. [paper][discussions: 1, 2][rejoinder]
H. Qiu,† M. Carone, E. Sadikova, M. Petukhova, R. C. Kessler, A. Luedtke. Journal of the American Statistical Association. [paper][discussions: 1, 2][rejoinder]
Universal sieve-based strategies for efficient estimation using machine learning tools.
H. Qiu,† A. Luedtke, M. Carone. Bernoulli. [paper][preprint]
H. Qiu,† A. Luedtke, M. Carone. Bernoulli. [paper][preprint]
Improving precision and power in randomized trials for Covid-19 treatments using covariate adjustment, for ordinal or time to event outcomes.
D. Benkeser, I. Díaz, A. Luedtke, J. Segal, D. Scharfstein, M. Rosenblum. Biometrics. [paper][discussions: 1, 2, 3][rejoinder]
D. Benkeser, I. Díaz, A. Luedtke, J. Segal, D. Scharfstein, M. Rosenblum. Biometrics. [paper][discussions: 1, 2, 3][rejoinder]
Discussion of Kallus (2020) and Mo, Qi, and Liu (2020): new objectives for policy learning.
S. Li,† X. Li,† A. Luedtke. Journal of the American Statistical Association. [paper][preprint]
S. Li,† X. Li,† A. Luedtke. Journal of the American Statistical Association. [paper][preprint]
2020
Deep adversarial learning of optimal statistical procedures.
A. Luedtke, M. Carone, N. Simon, O. Sofrygin. Science Advances. [paper][code]
A. Luedtke, M. Carone, N. Simon, O. Sofrygin. Science Advances. [paper][code]
Performance guarantees for policy learning.
A. Luedtke, A. Chambaz. Annales de l'Institut Henri Poincaré. [paper][preprint]
A. Luedtke, A. Chambaz. Annales de l'Institut Henri Poincaré. [paper][preprint]
Efficient principally stratified treatment effect estimation in crossover studies with absorbent binary endpoints.
A. Luedtke, J. Wu. Journal de la Société Française de Statistique. [paper][preprint]
A. Luedtke, J. Wu. Journal de la Société Française de Statistique. [paper][preprint]
Assessing the incremental value of new biomarkers based on OR rules.
L. Wang, A. Luedtke, Y. Huang. Biostatistics. [paper][preprint]
L. Wang, A. Luedtke, Y. Huang. Biostatistics. [paper][preprint]
2019
An omnibus test of equality in distribution for unknown functions.
A. Luedtke, M. Carone, M. J. van der Laan. Journal of the Royal Statistical Society, Series B. [paper][preprint]
A. Luedtke, M. Carone, M. J. van der Laan. Journal of the Royal Statistical Society, Series B. [paper][preprint]
Asymptotically optimal algorithms for budgeted multiple play bandits.
A. Luedtke, E. Kaufmann, A. Chambaz. Machine Learning. [paper][preprint]
A. Luedtke, E. Kaufmann, A. Chambaz. Machine Learning. [paper][preprint]
Selecting optimal subgroups for treatment using many covariates.
T. J. VanderWeele, A. Luedtke, M. J. van der Laan, R. C. Kessler. Epidemiology. [paper][preprint]
T. J. VanderWeele, A. Luedtke, M. J. van der Laan, R. C. Kessler. Epidemiology. [paper][preprint]
Comment on 'Entropy learning for dynamic treatment regimes' by Binyan Jiang, Rui Song, et al.
H. Qiu,† A. Luedtke, M. J. van der Laan. Statistica Sinica.
H. Qiu,† A. Luedtke, M. J. van der Laan. Statistica Sinica.
2018 and earlier
Parametric-rate inference for one-sided differentiable parameters.
A. Luedtke, M. J. van der Laan. Journal of the American Statistical Association, 2018. [paper][preprint]
A. Luedtke, M. J. van der Laan. Journal of the American Statistical Association, 2018. [paper][preprint]
Toward computerized efficient estimation in infinite-dimensional models.
M. Carone, A. Luedtke, M. J. van der Laan. Journal of the American Statistical Association, 2018. [paper][preprint]
M. Carone, A. Luedtke, M. J. van der Laan. Journal of the American Statistical Association, 2018. [paper][preprint]
Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy.
A. Luedtke, M. J. van der Laan. Annals of Statistics, 2016. [paper][preprint]
A. Luedtke, M. J. van der Laan. Annals of Statistics, 2016. [paper][preprint]
CV-TMLE for nonpathwise differentiable target parameters.
M. J. van der Laan, A. Bibaut, A. Luedtke. Targeted Learning in Data Science, (Chapter 25), 2018. [chapter]
M. J. van der Laan, A. Bibaut, A. Luedtke. Targeted Learning in Data Science, (Chapter 25), 2018. [chapter]
Sensitivity analysis.
I. Díaz, A. Luedtke, M. J. van der Laan. Targeted Learning in Data Science, (Chapter 27), 2018. [chapter][preprint]
I. Díaz, A. Luedtke, M. J. van der Laan. Targeted Learning in Data Science, (Chapter 27), 2018. [chapter][preprint]
Evaluating the impact of treating the optimal subgroup.
A. Luedtke, M. J. van der Laan. Statistical Methods in Medical Research, 2017. [paper][preprint]
A. Luedtke, M. J. van der Laan. Statistical Methods in Medical Research, 2017. [paper][preprint]
Sequential double robustness in right-censored longitudinal models.
A. Luedtke, O. Sofrygin, M. J. van der Laan, M. Carone. arXiv, 2017. [tech rep]
A. Luedtke, O. Sofrygin, M. J. van der Laan, M. Carone. arXiv, 2017. [tech rep]
Optimal individualized treatments in resource-limited settings.
A. Luedtke, M. J. van der Laan. International Journal of Biostatistics, 2016. [paper][preprint]
A. Luedtke, M. J. van der Laan. International Journal of Biostatistics, 2016. [paper][preprint]
Comment on 'Personalized dose finding using outcome weighted learning'.
A. Luedtke, M. J. van der Laan. Journal of the American Statistical Association, 2016. [paper]
A. Luedtke, M. J. van der Laan. Journal of the American Statistical Association, 2016. [paper]
Super-learning of an optimal dynamic treatment rule.
A. Luedtke, M. J. van der Laan. International Journal of Biostatistics, 2016. [paper][preprint]
A. Luedtke, M. J. van der Laan. International Journal of Biostatistics, 2016. [paper][preprint]
Discussion of 'Deductive derivation and Turing-computerization of semiparametric efficient estimation'.
A. Luedtke, M. Carone, M. J. van der Laan. Biometrics, 2015. [paper][pdf]
A. Luedtke, M. Carone, M. J. van der Laan. Biometrics, 2015. [paper][pdf]
Targeted learning of the mean outcome under an optimal dynamic treatment rule.
M. J. van der Laan, A. Luedtke. Journal of Causal Inference, 2015. [paper][preprint]
M. J. van der Laan, A. Luedtke. Journal of Causal Inference, 2015. [paper][preprint]
Selected scientific collaborations
Mosaic HIV-1 vaccine regimen in southern African women: a randomised, double-blind, placebo-controlled, phase 2b trial.
G. E. Gray, K. Mnagadi, et al. Lancet Infectious Diseases, 2024. [paper]
G. E. Gray, K. Mnagadi, et al. Lancet Infectious Diseases, 2024. [paper]
New directions in research on heterogeneity of treatment effects for major depression.
A. Luedtke, R. C. Kessler. JAMA Psychiatry, 2021. [paper]
A. Luedtke, R. C. Kessler. JAMA Psychiatry, 2021. [paper]
Effect of dengue serostatus on dengue vaccine safety and efficacy.
S. Sridhar, A. Luedtke, E. Langevin, M. Zhu, M. Bonaparte, et al. New England Journal of Medicine, 2018. [paper]
S. Sridhar, A. Luedtke, E. Langevin, M. Zhu, M. Bonaparte, et al. New England Journal of Medicine, 2018. [paper]
Modifiers of Covid-19 vaccine efficacy - results from four Covid-19 Prevention Network efficacy trials.
C. B. Turley, L. Tables, T. Fuller, … , A. Luedtke. Vaccine, 2023. [paper]
C. B. Turley, L. Tables, T. Fuller, … , A. Luedtke. Vaccine, 2023. [paper]
Immune correlates analysis of the ENSEMBLE single Ad26.COV2.S dose vaccine efficacy clinical trial.
Y. Fong, A. B. McDermott, et al. Nature Microbiology, 2023. [paper]
Y. Fong, A. B. McDermott, et al. Nature Microbiology, 2023. [paper]
Pragmatic precision psychiatry — a new direction for optimizing treatment selection.
R. C. Kessler, A. Luedtke. JAMA Psychiatry, 2021. [paper]
R. C. Kessler, A. Luedtke. JAMA Psychiatry, 2021. [paper]
Clinical endpoints for evaluating efficacy in COVID-19 vaccine trials.
D. V. Mehotra, H. E. Janes, et al. Annals of Internal Medicine, 2021. [paper]
D. V. Mehotra, H. E. Janes, et al. Annals of Internal Medicine, 2021. [paper]
A deferred-vaccination design to assess durability of COVID-19 vaccine effect after the placebo group is vaccinated.
D. Follmann, J. Fintzi, et al. Annals of Internal Medicine, 2021. [paper]
D. Follmann, J. Fintzi, et al. Annals of Internal Medicine, 2021. [paper]
Development and validation of a machine learning individualized treatment rule in first-episode schizophrenia.
C. S. Wu, A. Luedtke, E. Sadikova, H. J. Tsai, S. C. Liao, et al. JAMA Network Open, 2020. [paper]
C. S. Wu, A. Luedtke, E. Sadikova, H. J. Tsai, S. C. Liao, et al. JAMA Network Open, 2020. [paper]
Suicide prediction models - a critical review of recent research with recommendations for the way forward.
R. C. Kessler, R. M. Bossarte, A. Luedtke, A. M. Zaslavsky, J. R. Zubizarreta. Molecular Psychiatry, 2019. [paper]
R. C. Kessler, R. M. Bossarte, A. Luedtke, A. M. Zaslavsky, J. R. Zubizarreta. Molecular Psychiatry, 2019. [paper]
Sample size requirements for multivariate models to predict between-patient differences in best treatments of major depressive disorder.
A. Luedtke, E. Sadikova, R. C. Kessler. Clinical Psychological Science, 2019. [paper]
A. Luedtke, E. Sadikova, R. C. Kessler. Clinical Psychological Science, 2019. [paper]
Statistical learning methods to determine immune correlates of herpes zoster in vaccine efficacy trials.
P. B. Gilbert, A. Luedtke. Journal of Infectious Diseases, 2018. [paper]
P. B. Gilbert, A. Luedtke. Journal of Infectious Diseases, 2018. [paper]
Targeted estimation of the relationship between childhood adversity and fluid intelligence in a US population sample of adolescents.
J. M. Platt, K. A. McLaughlin, A. Luedtke, J. Ahern, A. Kaufman, K. M. Keyes. American Journal of Epidemiology, 2018. [paper]
J. M. Platt, K. A. McLaughlin, A. Luedtke, J. Ahern, A. Kaufman, K. M. Keyes. American Journal of Epidemiology, 2018. [paper]
Racial/Ethnic differences in the role of childhood adversities for mental disorders among a nationally representative sample of adolescents.
J. Ahern, D. Karasek, A. Luedtke, T. A. Bruckner, M. J. van der Laan. Epidemiology, 2016. [paper]
J. Ahern, D. Karasek, A. Luedtke, T. A. Bruckner, M. J. van der Laan. Epidemiology, 2016. [paper]