An introduction to inverse probability of treatment weighting in observational research
In this article we introduce the concept of inverse probability of treatment weighting (IPTW)
and describe how this method can be applied to adjust for measured confounding in …
and describe how this method can be applied to adjust for measured confounding in …
Methods and tools for causal discovery and causal inference
Causality is a complex concept, which roots its developments across several fields, such as
statistics, economics, epidemiology, computer science, and philosophy. In recent years, the …
statistics, economics, epidemiology, computer science, and philosophy. In recent years, the …
What's trending in difference-in-differences? A synthesis of the recent econometrics literature
This paper synthesizes recent advances in the econometrics of difference-in-differences
(DiD) and provides concrete recommendations for practitioners. We begin by articulating a …
(DiD) and provides concrete recommendations for practitioners. We begin by articulating a …
Difference-in-differences estimators of intertemporal treatment effects
C De Chaisemartin, X d'Haultfoeuille - Review of Economics and …, 2024 - direct.mit.edu
We study treatment-effect estimation using panel data. The treatment may be non-binary,
non-absorbing, and the outcome may be affected by treatment lags. We make a parallel …
non-absorbing, and the outcome may be affected by treatment lags. We make a parallel …
Tocilizumab for treatment of mechanically ventilated patients with COVID-19
EC Somers, GA Eschenauer, JP Troost… - Clinical Infectious …, 2021 - academic.oup.com
Background Severe coronavirus disease 2019 (COVID-19) can manifest in rapid
decompensation and respiratory failure with elevated inflammatory markers, consistent with …
decompensation and respiratory failure with elevated inflammatory markers, consistent with …
[HTML][HTML] Methods of public health research—strengthening causal inference from observational data
MA Hernán - New England Journal of Medicine, 2021 - Mass Medical Soc
Methods of Public Health Research For researchers using observational data, a useful way
to answer a causal question is to design the target trial that would answer it and then …
to answer a causal question is to design the target trial that would answer it and then …
Counterfactual vqa: A cause-effect look at language bias
Recent VQA models may tend to rely on language bias as a shortcut and thus fail to
sufficiently learn the multi-modal knowledge from both vision and language. In this paper …
sufficiently learn the multi-modal knowledge from both vision and language. In this paper …
A quantile-based g-computation approach to addressing the effects of exposure mixtures
Background: Exposure mixtures frequently occur in data across many domains, particularly
in the fields of environmental and nutritional epidemiology. Various strategies have arisen to …
in the fields of environmental and nutritional epidemiology. Various strategies have arisen to …
[HTML][HTML] Statistical methods for Mendelian randomization in genome-wide association studies: a review
Genome-wide association studies have yielded thousands of associations for many
common diseases and disease-related complex traits. The identified associations made it …
common diseases and disease-related complex traits. The identified associations made it …
On Pearl's hierarchy and the foundations of causal inference
Cause-and-effect relationships play a central role in how we perceive and make sense of
the world around us, how we act upon it, and ultimately, how we under stand ourselves …
the world around us, how we act upon it, and ultimately, how we under stand ourselves …