Results 191 to 200 of about 1,239,696 (252)

Individualized strategy of treatment for ruptured abdominal aortic aneurysm using causal inference model: a retrospective observational study. [PDF]

Ann Surg Treat Res
Sohn Y, Woo Y, Mok S, Jang E, Moon KY, Park SC, Yun SS, Kim JY.   +7 more
europepmc   +1 more source

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Causal Inference With Observational Data and Unobserved Confounding Variables

Ecology Letters
Experiments have long been the gold standard for causal inference in Ecology. Observational data has been primarily used to validate experimental results or to find patterns that inspire experiments – not for causal inference.
Jarrett E K Byrnes, Laura E Dee
exaly   +2 more sources

Matching Methods for Causal Inference with Time‐Series Cross‐Sectional Data

American Journal of Political Science, 2021
: Matching methods improve the validity of causal inference by reducing model dependence and offering intuitive diagnostics. Although they have become a part of the standard tool kit across disciplines, matching methods are rarely used when analysing ...
K. Imai, In Song Kim, Erik H. Wang
semanticscholar   +1 more source

Demystifying Causal Inference

2023
This book provides an accessible introduction to causal inference and data analysis with R, specifically for a public policy audience. It aims to demystify these topics by presenting them through practical policy examples from a range of disciplines. It provides a hands-on approach to working with data in R using the popular tidyverse package.
Dayal, Vikram, Murugesan, Anand
openaire   +1 more source

Target Trial Emulation: A Framework for Causal Inference From Observational Data.

Journal of the American Medical Association (JAMA), 2022
This Guide to Statistics and Methods describes the use of target trial emulation to design an observational study so it preserves the advantages of a randomized clinical trial, points out the limitations of the method, and provides an example of its ...
M. Hernán, Wei Wang, D. Leaf
semanticscholar   +1 more source

Inferring causality

Journal of PeriAnesthesia Nursing, 1996
The goal of research is to discover new knowledge to improve patient care. Research is essential because of its ability to establish causal relationships. This article discusses the minimum requirements a research report must meet to establish a causal relationship.
openaire   +2 more sources

The target trial framework for causal inference from observational data: Why and when is it helpful?

Annals of Internal Medicine
When randomized trials are not available to answer a causal question about the comparative effectiveness or safety of interventions, causal inferences are drawn using observational data.
M. Hernán, I. Dahabreh, Barbra A. Dickerman, S. Swanson   +3 more
semanticscholar   +1 more source

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey

North American Chapter of the Association for Computational Linguistics
Causal inference has shown potential in enhancing the predictive accuracy, fairness, robustness, and explainability of Natural Language Processing (NLP) models by capturing causal relationships among variables.
Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang   +12 more
semanticscholar   +1 more source