Results 1 to 10 of about 5,372 (68)

Causal Inference

Engineering, 2020
Causal inference is a powerful modeling tool for explanatory analysis, which might enable current machine learning to become explainable. How to marry causal inference with machine learning to develop explainable artificial intelligence (XAI) algorithms ...
Kun Kuang, Lian Li, Zhi Geng, Lei Xu, Kun Zhang, Beishui Liao, Huaxin Huang, Peng Ding, Wang Miao, Zhichao Jiang   +9 more
doaj   +3 more sources

The Effect of Family Wealth on Physical Function Among Older Adults in Mpumalanga, South Africa: A Causal Network Analysis

International Journal of Public Health, 2023
Objectives: The aging of the South African population could have profound implications for the independence and overall quality of life of older adults as life expectancy increases. While there is evidence that lifetime socio-economic status shapes risks
Keletso Makofane, Lisa F. Berkman, Mary T. Bassett, Eric J. Tchetgen Tchetgen, Eric J. Tchetgen Tchetgen   +4 more
doaj   +1 more source

On the dimensional indeterminacy of one-wave factor analysis under causal effects

Journal of Causal Inference, 2023
It is shown, with two sets of indicators that separately load on two distinct factors, independent of one another conditional on the past, that if it is the case that at least one of the factors causally affects the other, then, in many settings, the ...
VanderWeele Tyler J., Batty Charles J. K.   +1 more
doaj   +1 more source

Simple yet sharp sensitivity analysis for unmeasured confounding

Journal of Causal Inference, 2022
We present a method for assessing the sensitivity of the true causal effect to unmeasured confounding. The method requires the analyst to set two intuitive parameters. Otherwise, the method is assumption free. The method returns an interval that contains
Peña Jose M.
doaj   +1 more source

Estimating marginal treatment effects under unobserved group heterogeneity

Journal of Causal Inference, 2022
This article studies the treatment effect models in which individuals are classified into unobserved groups based on heterogeneous treatment rules. By using a finite mixture approach, we propose a marginal treatment effect (MTE) framework in which the ...
Hoshino Tadao, Yanagi Takahide
doaj   +1 more source

Congenital Cytomegalovirus Infection in Fetal Demise: A Retrospective Cohort Study

Viruses
Background: CMV is the most common congenital infection worldwide, affecting 0.2–6% of live births and causing significant morbidity and mortality. Although most infections are asymptomatic, severe cases can lead to fetal demise.
Ryan H. Rochat, Gail J. Demmler-Harrison, Magdalena Sanz Cortes, John Diaz-Decaro, Colin Kunzweiler   +4 more
doaj   +1 more source

Causal inference

Revista de la Facultad de Ciencias de la Salud, 2014
Establishing causality has been a problem throughout history of philosophy of science. This paper discusses the philosophy of causal inference along the different school of thoughts and methods: Rationalism, Empiricism, Inductive method, Hypothetical ...
Richard Shoemaker
doaj   +2 more sources

Adverse events associated with COVID-19 vaccination or diagnosis among pregnant and non-pregnant women in the United States, 2021-2022

International Journal of Infectious Diseases
Objectives: To quantify the incidence of adverse events after COVID-19 vaccination and COVID-19 diagnosis in women of reproductive age; to examine pregnancy as a potential risk modifier.
Stacey L. Rowe, Sheena G. Sullivan, Julia J. Koerber, Flor M. Muñoz, Matthew M. Coates, Onyebuchi A. Arah, Annette K. Regan   +6 more
doaj   +1 more source

Estimating Mann–Whitney-Type Causal Effects for Right-Censored Survival Outcomes

Journal of Causal Inference, 2019
Mann–Whitney-type causal effects are clinically relevant, easy to interpret, and readily applicable to a wide range of study settings. This article considers estimation of such effects when the outcome variable is a survival time subject to right ...
Zhang Zhiwei, Liu Chunling, Ma Shujie, Zhang Min   +3 more
doaj   +1 more source

Estimating Causal Effects of New Treatments Despite Self-Selection: The Case of Experimental Medical Treatments

Journal of Causal Inference, 2019
Providing terminally ill patients with access to experimental treatments, as allowed by recent “right to try” laws and “expanded access” programs, poses a variety of ethical questions.
Hazlett Chad
doaj   +1 more source