A survey of learning causality with data: Problems and methods
This work considers the question of how convenient access to copious data impacts our
ability to learn causal effects and relations. In what ways is learning causality in the era of …
ability to learn causal effects and relations. In what ways is learning causality in the era of …
Propensity score methods in health technology assessment: principles, extended applications, and recent advances
MS Ali, D Prieto-Alhambra, LC Lopes… - Frontiers in …, 2019 - frontiersin.org
Randomized clinical trials (RCT) are accepted as the gold-standard approaches to measure
effects of intervention or treatment on outcomes. They are also the designs of choice for …
effects of intervention or treatment on outcomes. They are also the designs of choice for …
Long-term cardiovascular outcomes of COVID-19
The cardiovascular complications of acute coronavirus disease 2019 (COVID-19) are well
described, but the post-acute cardiovascular manifestations of COVID-19 have not yet been …
described, but the post-acute cardiovascular manifestations of COVID-19 have not yet been …
Air pollution and mortality at the intersection of race and social class
Abstract Background Black Americans are exposed to higher annual levels of air pollution
containing fine particulate matter (particles with an aerodynamic diameter of≤ 2.5 μm [PM2 …
containing fine particulate matter (particles with an aerodynamic diameter of≤ 2.5 μm [PM2 …
Comparative evaluation of clinical manifestations and risk of death in patients admitted to hospital with covid-19 and seasonal influenza: cohort study
Comparative evaluation of clinical manifestations and risk of death in patients admitted to
hospital with covid-19 and seasonal Page 1 the bmj | BMJ 2020;371:m4677 | doi: 10.1136/bmj.m4677 …
hospital with covid-19 and seasonal Page 1 the bmj | BMJ 2020;371:m4677 | doi: 10.1136/bmj.m4677 …
The augmented synthetic control method
The synthetic control method (SCM) is a popular approach for estimating the impact of a
treatment on a single unit in panel data settings. The “synthetic control” is a weighted …
treatment on a single unit in panel data settings. The “synthetic control” is a weighted …
Association of real-time continuous glucose monitoring with glycemic control and acute metabolic events among patients with insulin-treated diabetes
AJ Karter, MM Parker, HH Moffet, LK Gilliam, R Dlott - Jama, 2021 - jamanetwork.com
Importance Continuous glucose monitoring (CGM) is recommended for patients with type 1
diabetes; observational evidence for CGM in patients with insulin-treated type 2 diabetes is …
diabetes; observational evidence for CGM in patients with insulin-treated type 2 diabetes is …
Estimating individual treatment effect: generalization bounds and algorithms
U Shalit, FD Johansson… - … conference on machine …, 2017 - proceedings.mlr.press
There is intense interest in applying machine learning to problems of causal inference in
fields such as healthcare, economics and education. In particular, individual-level causal …
fields such as healthcare, economics and education. In particular, individual-level causal …
Representation learning for treatment effect estimation from observational data
Estimating individual treatment effect (ITE) is a challenging problem in causal inference, due
to the missing counterfactuals and the selection bias. Existing ITE estimation methods …
to the missing counterfactuals and the selection bias. Existing ITE estimation methods …
Prone positioning in moderate to severe acute respiratory distress syndrome due to COVID-19: a cohort study and analysis of physiology
MC Shelhamer, PD Wesson, IL Solari… - Journal of intensive …, 2021 - journals.sagepub.com
Background: Coronavirus disease 2019 (COVID-19) can lead to acute respiratory distress
syndrome (ARDS) but it is unknown whether prone positioning improves outcomes in …
syndrome (ARDS) but it is unknown whether prone positioning improves outcomes in …