Results 281 to 290 of about 1,076,580 (347)

“Double Machine Learning for Causal Inference in High-Dimensional Electronic Health Records”

Du M, Guo Y, Li X, Catala M, Pareto-Alhambra D.   +4 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Causal inference for time series

Nature Reviews Earth & Environment, 2023
Jakob Runge, Gherardo Varando
exaly   +2 more sources

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

Causal Inference

Abstract This chapter is a refresher on the standard tools and techniques for performing causal inference that will be used throughout the book. We begin by introducing the potential outcome model and the parameters of interest, and then present inference on the latter in the context of randomized controlled trials (RCTs), which are the ...
Christophe Gaillac, Jérémy L'Hour
  +7 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

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

Causal Inference

2023
A nontechnical guide to the basic ideas of modern causal inference, with illustrations from health, the economy, and public policy. Which of two antiviral drugs does the most to save people infected with Ebola virus? Does a daily glass of wine prolong or shorten life?
openaire   +2 more sources

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