Causal relationship and confounding in statistical models

Causal relationship and confounding in statistical models

Bibliografiske detaljer
Main Authors:	Ranstam, J, Cook, J
Format:	Journal article
Udgivet:	John Wiley & Sons Ltd 2017

Lignende værker

Statistical models and confounding adjustment
af: Cook, J, et al.
Udgivet: (2017)

Statistical models: an overview
af: Ranstam, J, et al.
Udgivet: (2016)

Confounding Equivalence in Causal Inference
af: Pearl Judea, et al.
Udgivet: (2014-03-01)

Statistical analyses that provide an effect size are to be preferred
af: Cook, J, et al.
Udgivet: (2016)

Methods in causal inference. Part 1: causal diagrams and confounding
af: Joseph A. Bulbulia
Udgivet: (2024-01-01)

Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics
af: Liza Darrous, et al.
Udgivet: (2021-12-01)

Confounding-adjustment methods for the causal difference in medians
af: Daisy A. Shepherd, et al.
Udgivet: (2023-12-01)

Confounding effects of phase delays on causality estimation.
af: Vasily A Vakorin, et al.
Udgivet: (2013-01-01)

Methods in causal inference. Part 4: confounding in experiments
af: Joseph A. Bulbulia
Udgivet: (2024-01-01)

A unifying framework for causal imitation learning with hidden confounders
af: Shao, D, et al.
Udgivet: (2025)

Confounding in Studies on Metacognition: A Preliminary Causal Analysis Framework
af: Borysław Paulewicz, et al.
Udgivet: (2020-08-01)

Bayesian identification of structural coefficients in causal models and the causal false-positive risk of confounders and colliders in linear Markovian models
af: Riko Kelter
Udgivet: (2022-02-01)

The Confounding Influence of Older Age in Statistical Models of Telehealth Utilization
af: David Shilane, et al.
Udgivet: (2023-12-01)

A confounding bridge approach for double negative control inference on causal effects
af: Wang Miao, et al.
Udgivet: (2024-10-01)

The alarming problems of confounding equivalence using logistic regression models in the perspective of causal diagrams
af: Yuanyuan Yu, et al.
Udgivet: (2017-12-01)

Challenges in epidemiological and statistical evaluations of effect modifiers and confounders
af: Su Yon eJung
Udgivet: (2014-12-01)

Identification of key somatic oncogenic mutation based on a confounder-free causal inference model.
af: Yijun Liu, et al.
Udgivet: (2022-09-01)

Alcohol and coronary heart disease reduction among British doctors: confounding or causality?
af: Doll, R, et al.
Udgivet: (1997)

CAR-DESPOT: causally-informed online POMDP planning for robots in confounded environments
af: Cannizzaro, R, et al.
Udgivet: (2023)

Causally Remove Negative Confound Effects of Size Metric for Software Defect Prediction
af: Chenlong Li, et al.
Udgivet: (2022-01-01)

Feature selection and causal analysis for microbiome studies in the presence of confounding using standardization
af: Emily Goren, et al.
Udgivet: (2021-07-01)

Methodological Tutorial Series for Epidemiological Studies: Confounder Selection and Sensitivity Analyses to Unmeasured Confounding From Epidemiological and Statistical Perspectives
af: Kosuke Inoue, et al.
Udgivet: (2025-01-01)

Statistically Controlling for Confounding Constructs Is Harder than You Think.
af: Jacob Westfall, et al.
Udgivet: (2016-01-01)

Controlling for spatial confounding and spatial interference in causal inference: modelling insights from a computational experiment
af: Tyler D. Hoffman, et al.
Udgivet: (2023-10-01)

Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination
af: Ashagrie Sharew Iyassu, et al.
Udgivet: (2024-12-01)

Overcoming Confounding Bias in Causal Discovery Using Minimum Redundancy and Maximum Relevancy Constraint
af: Havisha Nadendla, et al.
Udgivet: (2024-01-01)

Frameworks for estimating causal effects in observational settings: comparing confounder adjustment and instrumental variables
af: Roy S. Zawadzki, et al.
Udgivet: (2023-05-01)

Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data.
af: Lingfei Wang, et al.
Udgivet: (2017-08-01)

Clinical prediction models
af: Ranstam, J, et al.
Udgivet: (2016)

Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation
af: Nathaniel Stockham, et al.
Udgivet: (2022-07-01)

Reporting on statistical methods to adjust for confounding: a cross-sectional survey.
af: Müllner, M, et al.
Udgivet: (2002)

Confounding in the hyponatremia, bone mineral density and falls relationship
af: Otelea Marina Ruxandra
Udgivet: (2019-09-01)

Community confounding in joint species distribution models
af: Justin J. Van Ee, et al.
Udgivet: (2022-07-01)

Kaplan-Meier curve
af: Ranstam, J, et al.
Udgivet: (2017)

Confounding explanations....
af: Dunbar, R
Udgivet: (2001)

Confounding and control
af: Guillaume Wunsch
Udgivet: (2007-02-01)

Editorial comment on Systematic review and simulation study of ignoring clustered data in surgical trials
af: Cook, J, et al.
Udgivet: (2018)

Overfitting
af: Cook, J, et al.
Udgivet: (2016)

Spurious findings
af: Cook, J, et al.
Udgivet: (2016)

Considerations for the design, analysis and presentation of in vivo studies
af: Cook, J, et al.
Udgivet: (2016)