Copertina

Risk ratio, odds ratio, risk difference... Which causal measure is easier to generalize?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Colnet, Bénédicte, Josse, Julie, Varoquaux, Gaël, Scornet, Erwan
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Reweighting the RCT for generalization: finite sample error and variable selection
di: Colnet, Bénédicte, et al.
Pubblicazione: (2022)

Quantifying Treatment Effects: Estimating Risk Ratios in Causal Inference
di: Boughdiri, Ahmed, et al.
Pubblicazione: (2024)

Causal Meta-Analysis: Rethinking the Foundations of Evidence-Based Medicine
di: Berenfeld, Clément, et al.
Pubblicazione: (2025)

A Unified Framework for the Transportability of Population-Level Causal Measures
di: Boughdiri, Ahmed, et al.
Pubblicazione: (2025)

On the consistency of supervised learning with missing values
di: Josse, Julie, et al.
Pubblicazione: (2019)

On the calibration of survival models with competing risks
di: Alberge, Julie, et al.
Pubblicazione: (2026)

Orthogonal machine learning for conditional odds and risk ratios
di: Ge, Jiacheng, et al.
Pubblicazione: (2026)

How to rank imputation methods?
di: Näf, Jeffrey, et al.
Pubblicazione: (2025)

When Pattern-by-Pattern Works: Theoretical and Empirical Insights for Logistic Models with Missing Values
di: Muller, Christophe, et al.
Pubblicazione: (2025)

What Is a Good Imputation Under MAR Missingness?
di: Näf, Jeffrey, et al.
Pubblicazione: (2024)

Estimation of relative risk, odds ratio and their logarithms with guaranteed accuracy and controlled sample size ratio
di: Mendo, Luis
Pubblicazione: (2025)

Rethinking the Win Ratio: A Causal Framework for Hierarchical Outcome Analysis
di: Even, Mathieu, et al.
Pubblicazione: (2025)

Efficient estimation of relative risk, odds ratio and their logarithms for rare events
di: Mendo, Luis
Pubblicazione: (2026)

Getting it right: Methods for risk ratios and risk differences cluster randomized trials with a small number of clusters
di: Sun, Shifeng, et al.
Pubblicazione: (2025)

MMD-based Variable Importance for Distributional Random Forest
di: Bénard, Clément, et al.
Pubblicazione: (2023)

Principled Federated Random Forests for Heterogeneous Data
di: Khellaf, Rémi, et al.
Pubblicazione: (2026)

Predictive Uncertainty Quantification with Missing Covariates
di: Zaffran, Margaux, et al.
Pubblicazione: (2024)

Likelihood-ratio inference on differences in quantiles
di: Miller, Evan
Pubblicazione: (2023)

Selective inference is easier with p-values
di: Sood, Anav
Pubblicazione: (2024)

Estimation of the complier causal hazard ratio under dependent censoring
di: Crommen, Gilles, et al.
Pubblicazione: (2025)

Treatment Effect Estimation in Causal Survival Analysis: Practical Recommendations
di: Voinot, Charlotte, et al.
Pubblicazione: (2025)

R-miss-tastic: a unified platform for missing values methods and workflows
di: Mayer, Imke, et al.
Pubblicazione: (2019)

Causal thinking for decision making on Electronic Health Records: why and how
di: Doutreligne, Matthieu, et al.
Pubblicazione: (2023)

Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation
di: Khellaf, Rémi, et al.
Pubblicazione: (2025)

Policy learning under constraint: Maximizing a primary outcome while controlling an adverse event
di: Fuentes-Vicente, Laura, et al.
Pubblicazione: (2026)

Model positive and unlabeled data with a generalized additive density ratio model
di: Sang, Peijun, et al.
Pubblicazione: (2025)

How to interpret hazard ratios
di: Bartlett, Jonathan W., et al.
Pubblicazione: (2026)

The risks of risk assessment: causal blind spots when using prediction models for treatment decisions
di: van Geloven, Nan, et al.
Pubblicazione: (2024)

Using causal diagrams to assess parallel trends in difference-in-differences studies
di: Renson, Audrey, et al.
Pubblicazione: (2025)

Targeting relative risk heterogeneity with causal forests
di: Shirvaikar, Vik, et al.
Pubblicazione: (2023)

Scalar-on-distribution regression via generalized odds with applications to accelerometry-assessed disability in multiple sclerosis
di: Niyogi, Pratim Guha, et al.
Pubblicazione: (2026)

Estimating treatment duration effects via clone-censor-weight: a breast cancer case study
di: Voinot, Charlotte, et al.
Pubblicazione: (2026)

Towards a unified approach to formal risk of bias assessments for causal and descriptive inference
di: Pescott, Oliver L., et al.
Pubblicazione: (2023)

Triple-dyad ratio estimation for the $p_1$ model
di: Feng, Qunqiang, et al.
Pubblicazione: (2026)

A scale of interpretation for likelihood ratios and Bayes factors
di: Dudbridge, Frank
Pubblicazione: (2022)

One-shot variable-ratio matching with fine balance
di: Meng, Qian, et al.
Pubblicazione: (2025)

Comparative e-backtests for general risk measures
di: Jiao, Zhanyi, et al.
Pubblicazione: (2025)

Huber-robust likelihood ratio tests for composite nulls and alternatives
di: Saha, Aytijhya, et al.
Pubblicazione: (2024)

Structured Mixture of Continuation-ratio Logits Models for Ordinal Regression
di: Kang, Jizhou, et al.
Pubblicazione: (2022)

Propensity score matching for estimating a marginal hazard ratio
di: Wang, Tongrong, et al.
Pubblicazione: (2019)