A survey on causal inference
Causal inference is a critical research topic across many domains, such as statistics,
computer science, education, public policy, and economics, for decades. Nowadays …
computer science, education, public policy, and economics, for decades. Nowadays …
Personalized evidence based medicine: predictive approaches to heterogeneous treatment effects
DM Kent, E Steyerberg, D Van Klaveren - Bmj, 2018 - bmj.com
The use of evidence from clinical trials to support decisions for individual patients is a form of
“reference class forecasting”: implicit predictions for an individual are made on the basis of …
“reference class forecasting”: implicit predictions for an individual are made on the basis of …
High-dimensional characterization of post-acute sequelae of COVID-19
The acute clinical manifestations of COVID-19 have been well characterized,, but the post-
acute sequelae of this disease have not been comprehensively described. Here we use the …
acute sequelae of this disease have not been comprehensively described. Here we use the …
Association of bariatric surgery with major adverse liver and cardiovascular outcomes in patients with biopsy-proven nonalcoholic steatohepatitis
A Aminian, A Al-Kurd, R Wilson, J Bena, H Fayazzadeh… - Jama, 2021 - jamanetwork.com
Importance No therapy has been shown to reduce the risk of serious adverse outcomes in
patients with nonalcoholic steatohepatitis (NASH). Objective To investigate the long-term …
patients with nonalcoholic steatohepatitis (NASH). Objective To investigate the long-term …
Addressing extreme propensity scores via the overlap weights
The popular inverse probability weighting method in causal inference is often hampered by
extreme propensity scores, resulting in biased estimates and excessive variance. A common …
extreme propensity scores, resulting in biased estimates and excessive variance. A common …
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 …
Overlap weighting: a propensity score method that mimics attributes of a randomized clinical trial
Evidenceobtainedfromclinicalpracticesettin…-native treatments is an important source of
information about populations and end points for which randomized clinical trials are …
information about populations and end points for which randomized clinical trials are …
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 …
[PDF][PDF] The early labor market impacts of COVID-19 in developing countries
The global coronavirus pandemic (COVID-19) dramatically slowed economic activity as
governments implemented lockdown measures, individuals reacted by reducing both their …
governments implemented lockdown measures, individuals reacted by reducing both their …
Leadless vs. transvenous single-chamber ventricular pacing in the Micra CED study: 2-year follow-up
MF El-Chami, L Bockstedt, C Longacre… - European Heart …, 2022 - academic.oup.com
Aims Clinical trials have demonstrated the safety and efficacy of the Micra leadless VVI
pacemaker; however, longer-term outcomes in a large, real-world population with a …
pacemaker; however, longer-term outcomes in a large, real-world population with a …