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 |