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 …
Propensity score methods for observational studies with clustered data: a review
Propensity score methods are a popular approach to mitigating confounding bias when
estimating causal effects in observational studies. When study units are clustered (eg …
estimating causal effects in observational studies. When study units are clustered (eg …
Propensity score stratification methods for continuous treatments
Continuous treatments propensity scoring remains understudied as the majority of methods
are focused on the binary treatment setting. Current propensity score methods for …
are focused on the binary treatment setting. Current propensity score methods for …
Childhood PM2.5 exposure and upward mobility in the United States
SAK Lee, L Merlo, F Dominici - Proceedings of the National Academy of …, 2024 - pnas.org
Although it is well documented that exposure to fine particulate matter (PM2. 5) increases
the risk of several adverse health outcomes, less is known about its relationship with …
the risk of several adverse health outcomes, less is known about its relationship with …
Multimodal digital phenotyping of diet, physical activity, and glycemia in Hispanic/Latino adults with or at risk of type 2 diabetes
Digital phenotyping refers to characterizing human bio-behavior through wearables,
personal devices, and digital health technologies. Digital phenotyping in populations facing …
personal devices, and digital health technologies. Digital phenotyping in populations facing …
Causal inference with multilevel data: A comparison of different propensity score weighting approaches
A Fuentes, O Lüdtke, A Robitzsch - Multivariate Behavioral …, 2022 - Taylor & Francis
Propensity score methods are a widely recommended approach to adjust for confounding
and to recover treatment effects with non-experimental, single-level data. This article reviews …
and to recover treatment effects with non-experimental, single-level data. This article reviews …
[HTML][HTML] What drove the 2003–2006 house price boom and subsequent collapse? Disentangling competing explanations
Ten years after the financial crisis, the central question of what explains the rise and fall in
house prices remains unresolved. We provide a unified framework to examine four excess …
house prices remains unresolved. We provide a unified framework to examine four excess …
Flexible propensity score estimation strategies for clustered data in observational studies
Existing studies have suggested superior performance of nonparametric machine learning
over logistic regression for propensity score estimation. However, it is unclear whether the …
over logistic regression for propensity score estimation. However, it is unclear whether the …
Selection, stability, and spuriousness: Testing Gottfredson and Hirschi's propositions to reinterpret street gangs in self‐control perspective*
Overlooked in the extensive literature on self‐control theory are propositions with respect to
street gangs. In Gottfredson and Hirschi's (1990) perspective, gangs are loose …
street gangs. In Gottfredson and Hirschi's (1990) perspective, gangs are loose …
Age and the new lesbian earnings penalty
ME Martell - International Journal of Manpower, 2020 - emerald.com
Purpose The purpose of this paper is to observe how the cohabiting lesbian earnings
differential in the USA has changed since the early 2000s, a time period during which the …
differential in the USA has changed since the early 2000s, a time period during which the …