Publications

Titlesort ascending Author Year Publication type
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
Causal models and learning from data: integrating causal modeling and statistical estimation Petersen ML, van der Laan MJ 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
Causal Inference for a Population of Causally Connected Units M. J. van der Laan 2014 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
Causal effect models for realistic individualized treatment and intention to treat rules van der Laan MJ, Petersen ML. 2009 Journal Article
Big Data, Small Sample: Edgeworth Expansions Provide a Cautionary Tale Gerlovina, Inna; van der Laan, Mark J; Hubbard, Alan 2017 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
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
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
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
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
Adaptive pre-specification in randomized trials with and without pair-matching Balzer, LB; van der Laan, MJ; Petersen, ML; SEARCH Collaboration 2016 Journal Article
A roadmap for estimating and interpreting population intervention parameters Ahern J, Hubbard A. 2009 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
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
A Doubly Robust Censoring Unbiased Transformation Dan Rubin; Mark van der Laan 2007 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