| Title | Author | Year |
Publication type |
|---|---|---|---|
| Optimal Individualized Treatments in Resource-Limited Settings | A. Luedtke; M. van der Laan | 2018 | Journal Article |
| Super learner analysis of real-time electronically monitored adherence to antiretroviral therapy under constrained optimization and comparison to non-differentiated care approaches for persons living with HIV in rural Uganda | †Benitez AE, Musinguzi N, Bangsberg DR, Bwana MB, Muzoora C, Hunt PW, Martin JN, Haberer JE, Petersen ML | 2020 | Journal Article |
| Adaptive-TMLE for the Average Treatment Effect based on Randomized Controlled Trial Augmented with Real-World Data | Mark van der Laan; Sky Qiu; Lars van der Laan | 2024 | Journal Article |
| A roadmap for estimating and interpreting population intervention parameters | Ahern J, Hubbard A. | 2009 | Journal Article |
| A Causal Roadmap for Generating High-Quality Real-World Evidence | Lauren E Dang , Susan Gruber , Hana Lee , Issa J Dahabreh , Elizabeth A Stuart , Brian D Williamson , Richard Wyss , Iván Dí | 2023 | Journal Article |
| A General Implementation of TMLE for Longitudinal Data Applied to Causal Inference in Survival Analysis | Ori M. Stitelman; Victor De Gruttola; Mark J. van der Laan | 2012 | Journal Article |
| Targeted estimation and inference for the sample average treatment effect in trials with and without pair matching | †Balzer, L; Petersen, M; van der Laan, M; the SEARCH Collaboration | 2016 | Journal Article |
| Is detection of enteropathogens and human or animal faecal markers in the environment associated with subsequent child enteric infections and growth: an individual participant data meta-analysis | Andrew Mertens; Benjamin F Arnold; Jade Benjamin-Chung; Alexandria B Boehm; Joe Brown; Drew Capone; Thomas Clasen; Erica R Fuhrmeister; Jessica A Grembi; David Holcomb; Jackie Knee; Laura H Kwong; Audrie Lin; Stephen P Luby; Rassul Nala; Kara Nelson; Sammy M Njenga; Clair Null; Amy J Pickering; Mahbubur Rahman; Heather E Resse; Lauren Steinbaum; Jill R Stewart; Ruwan Thilakaratne; Oliver Cumming; John M Colford; Ayse Ercumen | 2024 | Journal Article |
| Longitudinal Mediation Analysis with Time-varying Mediators and Exposures, with Application to Survival Outcomes | W. Zheng; M. van der Laan | 2017 | Journal Article |
| Causal models and learning from data: integrating causal modeling and statistical estimation | Petersen ML, van der Laan MJ | 2014 | Journal Article |
| Estimating conditional hazard functions and densities with the highly-adaptive lasso | Anders Munch; Thomas A. Gerds; Mark van der Laan; Helena C. W. Rytgaard | 2024 | Journal Article |
| Big Data, Small Sample: Edgeworth Expansions Provide a Cautionary Tale | Gerlovina, Inna; van der Laan, Mark J; Hubbard, Alan | 2017 | Journal Article |
| An Application of the Causal Roadmap in Two Safety Monitoring Case Studies: Causal Inference and Outcome Prediction using Electronic Health Record Data | Brian D Williamson,Richard Wyss, Elizabeth A Stuart, Lauren E Dang, Andrew N Mertens, Romain S Neugebauer, Andrew Wilson, Susan Gruber | 2023 | Journal Article |
| Targeted Minimum Loss Based Estimation of Marginal Structural Working Models | M. Petersen; J. Schwab; S. Gruber; N. Blaser; M. Schomaker; M.J. van der Laan | 2013 | Journal Article |
| Adaptive pre-specification in randomized trials with and without pair-matching | Balzer, LB; van der Laan, MJ; Petersen, ML; SEARCH Collaboration | 2016 | Journal Article |
| Targeted Learning: Toward a Future Informed by Real-World Evidence | Mark van der Laan; Rachael Phillips; Susan Gruber; Martin Ho; John Concato; Hana Lee | 2023 | Journal Article |
| Adaptive pre-specification in randomized trials with and without pair-matching: SEARCH Collaboration | L.B. Balzer; M.L. Petersen; M.J. van der Laan | 2016 | Journal Article |
| Double Robust Efficient Estimators of Longitudinal Treatment Effects: Comparative Performance in Simulations and a Case Study | Tran L, Yiannoutsos C, Wools-Kaloustian K, Siika A, van der Laan M, Petersen M. | 2019 | Journal Article |
| Implicit bias in Critical Care Data: Factors affecting sampling frequencies and missingness patterns of clinical and biological variables in ICU Patients | Junming (Seraphina) Shi; Alan Hubbard; Nicholas Fong; Romain Pirracchio | 2024 | Journal Article |
| Statistical Inference for Data Adaptive Target Parameters | Hubbard, A.; Kherad-Pajouh, S.; van der Laan, M. | 2016 | Journal Article |
| SuperNOVA: Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions in R | David McCoy, Ph.D.; Alejandro Schuler, Ph.D.; Alan Hubbard, Ph.D.; Mark van der Laan, Ph.D. | 2023 | Journal Article |
| Causal Models and Learning from Data: Integrating Causal Modeling and Statistical Estimation in the Practice of Epidemiology | Maya Petersen; Mark van der Laan | 2015 | Journal Article |
| Evaluating the Impact of a HIV Low-Risk Express Care Task-Shifting Program: A Case Study of the Targeted Learning Roadmap. | †Tran L; Yiannoutsos CT; Musick BS; Wools-Kaloustian K; Siika A; Kimaiyo S; van der Laan M; Petersen M | 2016 | Journal Article |
| Randomized Trial of Dynamic Choice HIV Prevention at Antenatal and postnatal care clinics in rural Uganda and Kenya | Shalika Gupta; Maya Petersen; Laura Balzer; Jane Kabami; Catherine A Koss; Helen Sunday; Edith Biira; Marilyn Nyabuti; Gabriel Chamie; James Ayieko; Elijah Kakande; Melanie C Bacon; Diane Havlir; Moses R Kamya | 2024 | Journal Article |
| Doubly robust nonparametric inference on the average treatment effect | D. Benkeser; P. Gilbert; M.J. van der Laan; M. Carone | 2017 | Journal Article |
| Targeted Maximum Likelihood Estimation for Dynamic and Static Longitudinal Marginal Structural Working Models | Petersen M, Schwab J, Gruber S, Blaser N, Schomaker M, van der Laan M. | 2014 | Journal Article |
| Can drinking water, sanitation, handwashing, and nutritional interventions reduce antibiotic use in young children? | Ayse Ercumen; Andrew Mertens; Zachary Butzin-Dozier; Da Kyung Jung; Shahjahan Ali; Beryl S. Achando; Gouthami Rao; Caitlin Hemlock; Amy J. Pickering; Christine P. Stewart; Sophia T. Tan; Jessica A. Grembi; Jade Benjamin-Chung; Marlene Wolfe; Gene G. Ho; Md. Ziaur Rahman; Charles D. Arnold; Holly N. Dentz; Sammy M Njenga; Dorie Meerkerk; Belinda Chen; Maya Nadimpalli; Mohammad Aminul Islam; Alan Hubbard; Clair Null; Leanne Unicomb; Mahbubur Rahman; John M. Colford Jr; Stephen P. Luby; Benjamin F. Arnold; Audrie Lin | 2024 | Journal Article |
| The Cross-validated Adaptive Epsilon-Net Estimator | Mark J. van der Laan; Sandrine Dudoit; Aad W. van der Vaart | 2009 | Journal Article |
| Mining with Inference: Data Adaptive Target Parameters | Hubbard, Alan E.; van der Laan, Mark J. | 2019 | Journal Article |
| Application of machine learning methodology to assess the performance of DIABETIMSS program for patients with type 2 diabetes in family medicine clinics in Mexico | Yue You; Svetlana V. Doubova; Diana Pinto-Masis; Ricardo Pérez-Cuevas; Víctor Hugo Borja-Aburto; Alan Hubbard | 2019 | Journal Article |
| Targeted Minimum Loss-Based Estimation of Causal Effects in Right-Censored Survival Data with Time Dependent Covariates: Warfarin, Stroke, and Death in Atrial Fibrillation | J. Brooks; M. J. van der Laan; D.E. Singer; A. S. Go | 2013 | Journal Article |
| Petersen M. Constrained binary classification using ensemble learning: an application to cost-efficient targeted PrEP strategies | †Zheng W; §Balzer L; van der Laan M | 2017 | Journal Article |
| Incident Tuberculosis Infection Is Associated With Alcohol Use in Adults in Rural Uganda | Kirsten Landsiedel; Maya Petersen; Laura Balzer; Rachel Abbott; Mucunguzi Atukunda; Sarah B Puryear; Gabriel Chamie; Judith A Hahn; Florence Mwangwa; Elijah Kakande; Diane V Havlir; Edwin Charlebois; Moses R Kamya; Carina Marquez | 2024 | Journal Article |
| Diagnosing and responding to violations in the positivity assumption | Petersen ML, Porter KE, Gruber S, Wang Y, van der Laan MJ. | 2012 | Journal Article |
| Blurring cluster randomized trials and observational studies: Two-Stage TMLE for subsampling, missingness, and few independent units | Joshua R Nugent; Carina Marquez; Edwin D Charlebois; Rachel Abbott; Laura Balzer | 2023 | Journal Article |
| Oracle Inequalities for Multi-Fold Cross-Validation | Aad W. van der Vaart; S. Dudoit; M.J. van der Laan | 2006 | Journal Article |
| Time-dependent prediction and evaluation of variable importance using superlearning in high-dimensional clinical data | Hubbard, Alan; Munoz, Ivan Diaz; Decker, Anna; Holcomb, John B.; Schreiber, Martin A.; Bulger, Eileen M.; Brasel, Karen J.; Fox, Erin E.; del Junco, Deborah J.; Wade, Charles E.; others | 2013 | Journal Article |
| Conformal Meta-learners for Predictive Inference of Individual Treatment Effects | Mark van der Laan; Ahmed M. Alaa; Zaid Ahmad | 2023 | Journal Article |
| Targeted Learning in real-world comparative effectiveness research with time-varying interventions | R. Neugebauer; J. Schmittdiel; M.J. van der Laan | 2014 | Journal Article |
| Association of implementation of a universal testing and treatment intervention with HIV diagnosis, receipt of antiretroviral therapy, and HIV viral suppression among adults in East Africa | Petersen M,; Balzer L,; Kwarsiima D,; Sang N5,; Chamie G2,; Ayieko J,; Kabami J,; Owaraganise A,; Liegler T,; Mwangwa F,; Kadede K,; Jain, V,; Plenty A,; Brown L,; Lavoy G,; Schwab J,; Black D,; van der Laan M,; Bukusi E,; Cohen C,; Clark T,; Charlebois E,; Kamya M,; Havlir D | 2017 | Journal Article |
| Integrated HIV, diabetes, and hypertension care in sub-Saharan Africa | Maya Petersen; Diane Halvir; Moses R Kamya | 2024 | Journal Article |
| Causal effect models for realistic individualized treatment and intention to treat rules | van der Laan MJ, Petersen ML. | 2009 | Journal Article |
| Large Language Models as Co-Pilots for Causal Inference in Medical Studies | Ahmed Alaa; Rachael Phillips; Emre Kiciman; Laura Balzer; Mark van der Laan; Maya Petersen | 2024 | Journal Article |
| A Doubly Robust Censoring Unbiased Transformation | Dan Rubin; Mark van der Laan | 2007 | Journal Article |
| Direct effects and effect among the treated | Hubbard AE; Jewell NP; van der Laan MJ | 2011 | Journal Article |
| Adaptive sequential surveillance with network and temporal dependence | Ivana Malenica; Jeremy R Coyle; Mark van der Laan; Maya Petersen | 2024 | Journal Article |
| Entering the era of data science: Targeted Learning and the Integration of Statistics and Computational Data Analysis | M.J. van der Laan; R.J.C.M. Starmans | 2014 | Journal Article |
| A new approach to hierarchical data analysis: Targeted maximum likelihood estimation for the causal effect of a cluster-level exposure | †Balzer L,; Zheng W,; van der Laan M,; Petersen M | 2018 | Journal Article |
| Bridging Binarization: Causal Inference with Dichotomized Continuous Treatments | Kaitlyn Lee; Alan Hubbard; Alejandro Schuler | 2024 | Journal Article |
| Estimation of direct causal effects | Petersen ML, Sinisi SE, van der Laan MJ | 2019 | Journal Article |
| Identification and responses to positivity violations in longitudinal studies: an illustration based on invasively mechanically ventilated ICU patients | Aksel K.G. Jensen; Theis Lange; Olav L. Schjørring; Maya Petersen | 2024 | Journal Article |
| Targeted Maximum Likelihood Learning | Mark van der Laan; Dan Rubin | 2006 | Journal Article |
| To GEE or not to GEE: comparing population average and mixed models for estimating the associations between neighborhood risk factors and health | Hubbard, A. E.; Ahern, J.; Fleischer, N. L.; Laan, M. V.; Lippman, S. A.; Jewell, N.; Bruckner, T.; Satariano, W. A. | 2010 | Journal Article |
| Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning | Razieh Nabi; Nima Hejazi; Mark van der Laan; David Benkeser | 2024 | Journal Article |
| Causal Inference for a Population of Causally Connected Units | M. J. van der Laan | 2014 | Journal Article |
| Causal inference when counterfactuals depend on the proportion of all subjects exposed | §Miles CH,; Petersen M,; van der Laan MJ | 2019 | Journal Article |
| HAL-based Plugin Estimation of the Causal Dose-Response Curve | Junming (Seraphina) Shi; Wenxin Zhang; Alan Hubbard; Mark van der Laan | 2024 | Journal Article |
| The optimal dynamic treatment rule superlearner: considerations, performance, and application to criminal justice interventions | Montoya LM, van der Laan MJ, Luedtke AR, Skeem JL, Coyle JR, Petersen ML. | 2022 | Journal Article |
| Causal Effect Models for Realistic Individualized Treatment and Intention to Treat Rules | M.J. van der Laan; Maya L. Petersen | 2007 | Journal Article |
| Population intervention models in causal inference | Hubbard, Alan E.; van der Laan, Mark J. | 2008 | Journal Article |
| Stress biomarkers and child development in young children in Bangladesh | Zachary Butzin-Dozier; Andrew N. Mertens; Sophia T. Tan; Douglas A. Granger; Helen O. Pitchik; Dora Il'yasova; Fahmida Tofail; Md. Ziaur Rahman; Ivan Spasojevic; Idan Shalev; Shahjahan Ali; Mohammed Rabiul Karim; Sunny Shahriar; Syeda Luthfa Famida; Gabrielle Shuman; Abul K. Shoab; Salma Akther; Md. Saheen Hossen; Palash Mutsuddi; Mahbubur Rahman; Leanne Unicomb; Kishor K. Das; Liying Yan; Ann Meyer; Christine P. Stewart; Alan Hubbard; Ruchira Tabassum Naved; Kausar Parvin; Md. Mahfuz Al Mamun; Stephen P. Luby; John M. Colford Jr.; Lia C.H. Fernald; Audrie Lin | 2024 | Journal Article |
| Effect of breastfeeding on gastrointestinal infection in infants: A targeted maximum likelihood approach for clustered longitudinal data | M. E. Schnitzer; M. J. van der Laan; E. E. Moodie; R. W. Platt | 2014 | Journal Article |
| HIV Testing and Treatment with the Use of a Community Health Approach in Rural Africa | Havlir DV, Balzer LB, Charlebois ED, Clark TD, Kwarisiima D, Ayieko J, Kabami J, Sang N, Liegler T, Chamie G, Camlin CS, Jain V, Kadede K, Atukunda M, Ruel T, Shade SB, Ssemmondo E, Byonanebye DM, Mwangwa F, Owaraganise A, Olilo W, Black D, Snyman K,; Burger R, Getahun M, Achando J, Awuonda B, Nakato H, Kironde J, Okiror S, Thirumurthy H, Koss C, Brown L, Marquez C, Schwab J, Lavoy G, Plenty A, Mugoma Wafula E, Omanya P, Chen YH, Rooney JF, Bacon M, van der Laan M, Cohen CR, Bukusi E, Kamya MR,; Petersen M. | 2019 | Journal Article |
| A cluster-randomized trial of water, sanitation, handwashing and nutritional interventions on stress and epigenetic programming | Andrew Mertens; Alan Hubbard; Audrie Lin; Md. Ziaur Rahman; Sophia T. Tan; Dora Il’yasova; Ivan Spasojevic; Shahjahan Ali; Christine P. Stewart; Lia C. H. Fernald; Lisa Kim; Liying Yan; Ann Meyer; Md. Rabiul Karim; Sunny Shahriar; Gabrielle Shuman; Benjamin F. Arnold; Syeda L. Famida; Salma Akther; Md. Saheen Hossen; Palash Mutsuddi; Abul K. Shoab; Idan Shalev; Mahbubur Rahman; Leanne Unicomb; Christopher D. Heaney; Patricia Kariger; John M. Colford Jr.; Stephen P. Luby; Douglas A. Granger | 2024 | Journal Article |
| Dynamic Impact of Transfusion Ratios on Outcomes in Severely Injured Patients: Targeted Machine Learning Analysis of the Pragmatic, Randomized Optimal Platelet and Plasma Ratios Randomized Clinical Trial | Nguyen, M.; Pirracchio, R.; Kornblith, L. Z.; Callcut, R.; Fox, E. E; Wade, C. E.; Schreiber, M.; Holcomb, J. B.; Coyle, J.; Cohen, M.; Hubbard, A. E. | 2020 | Journal Article |
| Estimators for the value of the optimal dynamic treatment rule with application to criminal justice interventions | Montoya LM, van der Laan MJ, Skeem JL, Petersen ML. | 2022 | Journal Article |
| Empirical Efficiency Maximization: Improved Locally Efficient Covariate Adjustment in Randomized Experiments and Survival Analysis | D. Rubin; M.J. van der Laan | 2008 | Journal Article |
| Depressive symptoms in low-income women in rural Mexico | Fleischer, Nancy L.; Fernald, Lia C.; Hubbard, Alan E. | 2007 | Journal Article |
| Adaptive selection of the optimal strategy to improve precision and power in randomized trials | Laura Balzer; Erica Cai; Lucas Godoy Garraza; Pracheta Amaranath | 2024 | Journal Article |
| Targeted learning of the mean outcome under an optimal dynamic treatment rule | M. J. van der Laan; A. R. Luedtke | 2014 | Journal Article |
| Improved Small-Sample Estimation of Nonlinear Cross-Validated Prediction Metrics | Benkeser D, Petersen M & van der Laan MJ | 2019 | Journal Article |
| Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study | Zachary Butzin-Dozier; Yunwen Ji; Haodong Li; Jeremy Coyle; Junming (Seraphina) Shi; Rachael Phillips; Andrew Mertens; Romain Pirracchio; Mark van der Laan; Rena C Patel; John M Colford; Alan Hubbard | 2024 | Journal Article |
| Countering the Curse of Dimensionality: Exploring Data-generating Mechanisms Through Participant Observation and Mechanistic Modeling; Epidemiology | Hubbard, Alan; Trostle, James; Trostle, James; Cangemi, Ivan; Eisenberg, Joseph N. S | 2020 | Journal Article |
| Who is most at risk of dying if infected with SARS-CoV-2? A mortality risk factor analysis using machine learning of patients with COVID-19 over time: a large population-based cohort study in Mexico | Lauren D Liao, Alan E Hubbard, Juan Pablo Gutierrez, Arturo Juárez-Flores, Kendall Kikkawa, Ronit Gupta, Yana Yarmolich, Iván de Jesús Ascencio-Montiel, Stefano M Bertozzi | 2023 | Journal Article |
| Targeted Maximum Likelihood Based Causal Inference Part I | M.J. van der Laan | 2010 | Journal Article |
| Quantile-function based null distribution in resampling based multiple testing | van der Laan, Mark J.; Hubbard, Alan E. | 2006 | Journal Article |
| When exposure affects subgroup membership: Framing relevant causal questions in perinatal epidemiology and beyond | Shalika Gupta; Laura Balzer; Moses R Kamya; Diane V Havlir; Maya Petersen | 2024 | Journal Article |
| Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy | A. R. Luedtke; M. J. van der Laan | 2019 | Journal Article |
| Machine learning to identify persons at high-risk of HIV acquisition in rural Kenya and Uganda | Balzer LB, Havlir DV, Kamya MR, Chamie G, Charlebois ED, Clark TD, Koss CA, Kwarisiima D, Ayieko J, Sang N, Kabami J, Atukunda M, Jain V, Camlin CS, Cohen CR, Bukusi EA, van der Laan M, Petersen ML. | 2020 | Journal Article |
| Data-Adaptive Identification of Subpopulations Vulnerable to Chemical Exposures using Stochastic Interventions | David McCoy; Wenxin Zhang; Alan Hubbard; Mark van der Laan; Alejandro Schuler | 2024 | Journal Article |
| Big data and targeted machine learning in action to assist medical decision in the ICU; Anesthesia Critical Care \& Pain Medicine | Pirracchio, Romain; Cohen, Mitchell J.; Malenica, Ivana; Cohen, Jonathan; Chambaz, Antoine; Cannesson, Maxime; Lee, Christine; Resche-Rigon, Matthieu; Hubbard, Alan E. | 2019 | Journal Article |
| Causes and Consequences of Child Growth Faltering in Low-resource settings | Andrew Mertens, Jade Benjamin-Chung, John M. Colford Jr, Jeremy Coyle, Mark J. van der Laan, Alan E. Hubbard, Sonali Rosete, Ivana Malenica, Nima Hejazi, Oleg Sofrygin, Wilson Cai, Haodong Li, etc. | 2023 | Journal Article |
| Targeted Maximum Likelihood Based Causal Inference Part II | M.J. van der Laan | 2010 | Journal Article |
| Mass extinctions as statistical phenomena: an examination of the evidence using chi-square tests and bootstrapping | Hubbard, Alan E.; Gilinsky, Norman L. | 1992 | Journal Article |
| Estimating the effect of realistic improvements of metformin adherence on COVID-19 mortality using targeted machine learning | Sky Qiu; Alan Hubbard; Juan Pablo Gutiérrez; Ganesh Pimpale; Arturo Juárez-Flores; Rakesh Ghosh; Iván de Jesús Ascencio-Montiel; Stefano M Bertozzi | 2024 | Journal Article |
| Targeted Learning: Causal Inference for Observational and Experimental Data | Sherri Rose; Mark van der Laan | 2011 | Book |
| Targeted Learning in Data Science: Causal Inference for Complex Longitudinal | Sherri Rose; Mark van der Laan | 2018 | Book |
| Targeted Learning Handbook: Causal Machine Learning and Inference in the tlverse R Software Ecosystem | Jeremy Coyle, Mark van der Laan, Alan Hubbard, Rachael Phillips, Ivana Malenica, Nima Hejazi | 2022 | Book |
| Unified methods for Censored Longitudinal Data and Causality | M.J. van der Laan; J.M. Robins | 2003 | Book |
| Resampling Based Multiple Testing with Applications to Genomics | S. Dudoit; M.J. van der Laan | 2009 | Book |
| Targeted Learning, Causal Inference for Observational and Experimental Data | M.J. van der Laan; S. Rose | 2011 | Book |
| Targeted Learning in Data Science - Causal Inference for Complex Longitudinal Studies | M.J. van der Laan; S. Rose | 2018 | Book |