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 …
Small-magnitude effect sizes in epigenetic end points are important in children's environmental health studies: the children's environmental health and disease …
Background: Characterization of the epigenome is a primary interest for children's
environmental health researchers studying the environmental influences on human …
environmental health researchers studying the environmental influences on human …
Crohn's disease exclusion diet plus partial enteral nutrition induces sustained remission in a randomized controlled trial
Background & Aims Exclusive enteral nutrition (EEN) is recommended for children with mild
to moderate Crohn's disease (CD), but implementation is challenging. We compared EEN …
to moderate Crohn's disease (CD), but implementation is challenging. We compared EEN …
Intestinal host response to SARS-CoV-2 infection and COVID-19 outcomes in patients with gastrointestinal symptoms
AE Livanos, D Jha, F Cossarini, AS Gonzalez-Reiche… - Gastroenterology, 2021 - Elsevier
Background & Aims Given that gastrointestinal (GI) symptoms are a prominent
extrapulmonary manifestation of COVID-19, we investigated intestinal infection with SARS …
extrapulmonary manifestation of COVID-19, we investigated intestinal infection with SARS …
[图书][B] Targeted learning in data science
MJ Van der Laan, S Rose - 2018 - Springer
This book builds on and is a sequel to our book Targeted Learning: Causal Inference for
Observational and Experimental Studies (2011). Since the publication of this first book on …
Observational and Experimental Studies (2011). Since the publication of this first book on …
Targeted maximum likelihood estimation for causal inference in observational studies
MS Schuler, S Rose - American journal of epidemiology, 2017 - academic.oup.com
Estimation of causal effects using observational data continues to grow in popularity in the
epidemiologic literature. While many applications of causal effect estimation use propensity …
epidemiologic literature. While many applications of causal effect estimation use propensity …
An expanded obstetric comorbidity scoring system for predicting severe maternal morbidity
OBJECTIVE: To develop and validate an expanded obstetric comorbidity score for predicting
severe maternal morbidity that can be applied consistently across contemporary US patient …
severe maternal morbidity that can be applied consistently across contemporary US patient …
Comparative effectiveness of fludrocortisone and hydrocortisone vs hydrocortisone alone among patients with septic shock
Importance Patients with septic shock may benefit from the initiation of corticosteroids.
However, the comparative effectiveness of the 2 most studied corticosteroid regimens …
However, the comparative effectiveness of the 2 most studied corticosteroid regimens …
A primer on inverse probability of treatment weighting and marginal structural models
F Thoemmes, AD Ong - Emerging Adulthood, 2016 - journals.sagepub.com
Emerging adulthood researchers are often interested in the effects of developmental tasks.
The majority of transitions that occur during the period of early/emerging adulthood are not …
The majority of transitions that occur during the period of early/emerging adulthood are not …
DoubleML-an object-oriented implementation of double machine learning in python
P Bach, V Chernozhukov, MS Kurz… - Journal of Machine …, 2022 - jmlr.org
DoubleML is an open-source Python library implementing the double machine learning
framework of Chernozhukov et al.(2018) for a variety of causal models. It contains …
framework of Chernozhukov et al.(2018) for a variety of causal models. It contains …