:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Mayer, Imke, Sportisse, Aude, Josse, Julie, Tierney, Nicholas, Vialaneix, Nathalie
Natura:	Preprint
Pubblicazione:	2019
Soggetti:	Methodology
Accesso online:	https://arxiv.org/abs/1908.04822
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Predicting missing values: A good idea?
di: van Buuren, Stef
Pubblicazione: (2026)

Imputation of missing values in multi-view data
di: van Loon, Wouter, et al.
Pubblicazione: (2022)

On two-sample testing for data with arbitrarily missing values
di: Zeng, Yijin, et al.
Pubblicazione: (2024)

Hybrid methods for missing categorical covariates in Cox model
di: Dioni, Abdoulaye, et al.
Pubblicazione: (2025)

Least trimmed squares regression with missing values and cellwise outliers
di: Raymaekers, Jakob, et al.
Pubblicazione: (2026)

Online network change point detection with missing values and temporal dependence
di: Xu, Haotian, et al.
Pubblicazione: (2021)

Assessing treatment effects in observational data with missing confounders: A comparative study of practical doubly-robust and traditional missing data methods
di: Williamson, Brian D., et al.
Pubblicazione: (2024)

Boosting prediction with data missing not at random
di: Bian, Yuan, et al.
Pubblicazione: (2025)

Sensitivity analysis method in the presence of a missing not at random ordinal independent variable
di: Dioni, Abdoulaye, et al.
Pubblicazione: (2025)

Instability of inverse probability weighting methods and a remedy for non-ignorable missing data
di: Li, Pengfei, et al.
Pubblicazione: (2025)

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

Identification of complier and noncomplier average causal effects in the presence of latent missing-at-random (LMAR) outcomes: a unifying view and choices of assumptions
di: Nguyen, Trang Quynh, et al.
Pubblicazione: (2023)

Nonparametric modal regression with missing response observations
di: Pérez-González, Ana, et al.
Pubblicazione: (2025)

Nonparametric estimation of an optimal treatment rule with fused randomized trials and missing effect modifiers
di: Williams, Nicholas, et al.
Pubblicazione: (2025)

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

inlamemi: An R package for missing data imputation and measurement error modelling using INLA
di: Skarstein, Emma, et al.
Pubblicazione: (2024)

Clustering data with values missing at random using scale mixtures of multivariate skew-normal distributions
di: Pillay, Jason, et al.
Pubblicazione: (2025)

A Jensen-Shannon divergence based $k$--$NN$ algorithm for missing value imputation in compositional data
di: Tsagris, Michail, et al.
Pubblicazione: (2026)

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

Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
di: Dashti, S. Ghazaleh, et al.
Pubblicazione: (2021)

Accounting for missing data when modelling block maxima
di: Simpson, Emma S., et al.
Pubblicazione: (2025)

Covariate adjustment in randomized experiments with missing outcomes and covariates
di: Zhao, Anqi, et al.
Pubblicazione: (2023)

Flexible variable selection in the presence of missing data
di: Williamson, B. D., et al.
Pubblicazione: (2022)

Scale two-sample testing with arbitrarily missing data
di: Zeng, Yijin, et al.
Pubblicazione: (2025)

Statistics of spatial averages and optimal averaging in the presence of missing data
di: Seshadri, Ashwin K
Pubblicazione: (2017)

Robust propensity score weighting estimation under missing at random
di: Wang, Hengfang, et al.
Pubblicazione: (2023)

Comment on: "Model uncertainty and missing data: An Objective Bayesian Perspective"
di: Franssen, Stefan
Pubblicazione: (2025)

Identifiability of the instrumental variable model with the treatment and outcome missing not at random
di: Zuo, Shuozhi, et al.
Pubblicazione: (2024)

Estimation with missing not at random binary outcomes via exponential tilts
di: Maity, Subha
Pubblicazione: (2025)

Causal Quantile Treatment Effects with missing data by double-sampling
di: Sun, Shuo, et al.
Pubblicazione: (2023)

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

Rank-based methods for estimating landmark win probability in longitudinal randomized controlled trials with missing data
di: Zou, Guangyong, et al.
Pubblicazione: (2026)

Doubly robust estimation with functional outcomes missing at random
di: Liu, Xijia, et al.
Pubblicazione: (2024)

Sensitivity analysis for multivariable missing data using multiple imputation: a tutorial
di: Nguyen, Cattram D, et al.
Pubblicazione: (2025)

Nonparametric classification with missing data
di: Sell, Torben, et al.
Pubblicazione: (2023)

Sensitivity analysis for nonignorable missing values in blended analysis framework: a study on the effect of bariatric surgery via electronic health records
di: Lee, Jungwun, et al.
Pubblicazione: (2025)

Robust estimation of optimal dynamic treatment regimes with nonignorable missing covariates
di: Sun, Jian, et al.
Pubblicazione: (2025)

Variable selection via knockoffs in missing data settings with categorical predictors
di: Bacci, Silvia, et al.
Pubblicazione: (2025)

Robustness intervals for competing risks analysis with causes of failure missing not at random
di: Bakoyannis, Giorgos, et al.
Pubblicazione: (2025)