Evaluation and comparison of covariate balance metrics in studies with time-dependent confounding
Fuente:
arXiv
Guardado en:
| Autores principales: | Adenyo, David, Guertin, Jason R., Candas, Bernard, Sirois, Caroline, Talbot, Denis |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
trajmsm: An R package for Trajectory Analysis and Causal Modeling
por: Diop, Awa, et al.
Publicado: (2024)
por: Diop, Awa, et al.
Publicado: (2024)
Efficient adjustment sets for time-dependent treatment effect estimation in nonparametric causal graphical model
por: Adenyo, David, et al.
Publicado: (2024)
por: Adenyo, David, et al.
Publicado: (2024)
Efficiency-improved doubly robust estimation with non-confounding predictive covariates
por: Luo, Shanshan, et al.
Publicado: (2024)
por: Luo, Shanshan, et al.
Publicado: (2024)
Semiparametric analysis for paired comparisons with covariates
por: Song, Haoyue, et al.
Publicado: (2026)
por: Song, Haoyue, et al.
Publicado: (2026)
Predictive posteriors under hidden confounding
por: Meixide, Carlos García, et al.
Publicado: (2025)
por: Meixide, Carlos García, et al.
Publicado: (2025)
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding
por: Chen, Xinyuan, et al.
Publicado: (2024)
por: Chen, Xinyuan, et al.
Publicado: (2024)
Semiparametric sensitivity analysis: unmeasured confounding in observational studies
por: Nabi, Razieh, et al.
Publicado: (2021)
por: Nabi, Razieh, et al.
Publicado: (2021)
Mahalanobis balancing: a multivariate perspective on approximate covariate balancing
por: Dai, Yimin, et al.
Publicado: (2022)
por: Dai, Yimin, et al.
Publicado: (2022)
A covariate-dependent Cholesky decomposition for high-dimensional covariance regression
por: Kim, Rakheon, et al.
Publicado: (2026)
por: Kim, Rakheon, et al.
Publicado: (2026)
Penalised spline estimation of covariate-specific time-dependent ROC curves
por: Rodríguez-Álvarez, María Xosé, et al.
Publicado: (2025)
por: Rodríguez-Álvarez, María Xosé, et al.
Publicado: (2025)
Estimating causal effects of continuous-time dynamic treatments with unmeasured confounders
por: Zhu, Haiyan, et al.
Publicado: (2026)
por: Zhu, Haiyan, et al.
Publicado: (2026)
Calibrating confounding strength in sensitivity models for weighting estimators: a comparative review and a new method
por: Baitairian, Jean-Baptiste, et al.
Publicado: (2025)
por: Baitairian, Jean-Baptiste, et al.
Publicado: (2025)
Regression analysis of multiplicative hazards model with time-dependent coefficient for sparse longitudinal covariates
por: Sun, Zhuowei, et al.
Publicado: (2023)
por: Sun, Zhuowei, et al.
Publicado: (2023)
Bayesian analysis of restricted mean survival time adjusted for covariates using pseudo-observations
por: Orsini, Léa, et al.
Publicado: (2025)
por: Orsini, Léa, et al.
Publicado: (2025)
Flexible sensitivity analysis for causal inference in observational studies subject to unmeasured confounding
por: Lu, Sizhu, et al.
Publicado: (2023)
por: Lu, Sizhu, et al.
Publicado: (2023)
Methodological considerations for novel approaches to covariate-adjusted indirect treatment comparisons
por: Remiro-Azócar, Antonio, et al.
Publicado: (2023)
por: Remiro-Azócar, Antonio, et al.
Publicado: (2023)
General Bayesian inference for causal effects using covariate balancing procedure
por: Orihara, Shunichiro, et al.
Publicado: (2024)
por: Orihara, Shunichiro, et al.
Publicado: (2024)
High-dimensional multiple imputation (HDMI) for partially observed confounders including natural language processing-derived auxiliary covariates
por: Weberpals, Janick, et al.
Publicado: (2024)
por: Weberpals, Janick, et al.
Publicado: (2024)
A causal inference framework for spatial confounding
por: Gilbert, Brian, et al.
Publicado: (2021)
por: Gilbert, Brian, et al.
Publicado: (2021)
Treatment effect extrapolation in the presence of unmeasured confounding
por: Riley, Stephanie, et al.
Publicado: (2025)
por: Riley, Stephanie, et al.
Publicado: (2025)
Variable screening for covariate dependent extreme value index estimation
por: Yoshida, Takuma, et al.
Publicado: (2024)
por: Yoshida, Takuma, et al.
Publicado: (2024)
Generalized linear models with spatial dependence and a functional covariate
por: Kim, Sooran, et al.
Publicado: (2024)
por: Kim, Sooran, et al.
Publicado: (2024)
Event history analysis with time-dependent covariates via landmarking supermodels and boosted trees
por: Sandqvist, Oliver Lunding
Publicado: (2026)
por: Sandqvist, Oliver Lunding
Publicado: (2026)
Data adaptive covariate balancing for causal effect estimation for high dimensional data
por: De, Simion, et al.
Publicado: (2025)
por: De, Simion, et al.
Publicado: (2025)
Recanting twins: addressing intermediate confounding in mediation analysis
por: Vo, Tat-Thang, et al.
Publicado: (2024)
por: Vo, Tat-Thang, et al.
Publicado: (2024)
Consistency of common spatial estimators under spatial confounding
por: Gilbert, Brian, et al.
Publicado: (2023)
por: Gilbert, Brian, et al.
Publicado: (2023)
Spatial causal inference in the presence of unmeasured confounding and interference
por: Papadogeorgou, Georgia, et al.
Publicado: (2023)
por: Papadogeorgou, Georgia, et al.
Publicado: (2023)
Methods for adjusting for covariate measurement error in flexible modelling of functional form: designing a blinded, controlled neutral comparison simulation study
por: Thiébaut, Anne C M, et al.
Publicado: (2026)
por: Thiébaut, Anne C M, et al.
Publicado: (2026)
A tree perspective on stick-breaking models in covariate-dependent mixtures
por: Horiguchi, Akira, et al.
Publicado: (2022)
por: Horiguchi, Akira, et al.
Publicado: (2022)
Adjusting for indirectly measured confounding using large-scale propensity scores
por: Zhang, Linying, et al.
Publicado: (2021)
por: Zhang, Linying, et al.
Publicado: (2021)
Dynamical causality under invisible confounders
por: Yan, Jinling, et al.
Publicado: (2024)
por: Yan, Jinling, et al.
Publicado: (2024)
Partial identification and unmeasured confounding with multiple treatments and multiple outcomes
por: Kang, Suyeon, et al.
Publicado: (2023)
por: Kang, Suyeon, et al.
Publicado: (2023)
Bidirectional causal inference for binary outcomes in the presence of unmeasured confounding
por: Deng, Yafang, et al.
Publicado: (2026)
por: Deng, Yafang, et al.
Publicado: (2026)
Mediation analysis with unmeasured confounding between parallel mediators and outcome
por: Shuai, Kang, et al.
Publicado: (2023)
por: Shuai, Kang, et al.
Publicado: (2023)
Disentangling spatial interference and spatial confounding biases in causal inference
por: Ogunsola, Isqeel, et al.
Publicado: (2026)
por: Ogunsola, Isqeel, et al.
Publicado: (2026)
Data fusion methods for the heterogeneity of treatment effect and confounding function
por: Yang, Shu, et al.
Publicado: (2020)
por: Yang, Shu, et al.
Publicado: (2020)
Blessing of dimension in Bayesian inference on covariance matrices
por: Chattopadhyay, Shounak, et al.
Publicado: (2024)
por: Chattopadhyay, Shounak, et al.
Publicado: (2024)
Survey calibration for causal inference: a simple method to balance covariate distributions
por: Beręsewicz, Maciej
Publicado: (2023)
por: Beręsewicz, Maciej
Publicado: (2023)
Inference in a generalized Bradley-Terry model for paired comparisons with covariates and a growing number of subjects
por: Yan, Ting
Publicado: (2025)
por: Yan, Ting
Publicado: (2025)
A discrete-time survival model to handle interval-censored covariates, with applications to HIV cohort studies
por: Kenny, Avi, et al.
Publicado: (2024)
por: Kenny, Avi, et al.
Publicado: (2024)
Ejemplares similares
-
trajmsm: An R package for Trajectory Analysis and Causal Modeling
por: Diop, Awa, et al.
Publicado: (2024) -
Efficient adjustment sets for time-dependent treatment effect estimation in nonparametric causal graphical model
por: Adenyo, David, et al.
Publicado: (2024) -
Efficiency-improved doubly robust estimation with non-confounding predictive covariates
por: Luo, Shanshan, et al.
Publicado: (2024) -
Semiparametric analysis for paired comparisons with covariates
por: Song, Haoyue, et al.
Publicado: (2026) -
Predictive posteriors under hidden confounding
por: Meixide, Carlos García, et al.
Publicado: (2025)