Cover Image

Analysing Opportunity Cost of Care Work using Mixed Effects Random Forests under Aggregated Auxiliary Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Krennmair, Patrick, Würz, Nora, Schmid, Timo
Format:	Preprint
Published:	2022
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Flexible domain prediction using mixed effects random forests
by: Krennmair, Patrick, et al.
Published: (2022)

Cost Effectiveness Analyses for Sequential Multiple Assignment Randomized Trials
by: Montoya, Lina M., et al.
Published: (2025)

Generalizing Trimming Bounds for Endogenously Missing Outcome Data Using Random Forests
by: Samii, Cyrus, et al.
Published: (2023)

Density Estimation from Aggregated Data with Integrated Auxiliary Information: Estimating Population Densities with Geospatial Data
by: Mühlbauer, Michael, et al.
Published: (2025)

Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models
by: Vu, Quan, et al.
Published: (2024)

Treatment Effect Learning Under Sequential Randomization
by: Friedberg, Rina, et al.
Published: (2025)

Imputation of Nonignorable Missing Data in Surveys Using Auxiliary Margins Via Hot Deck and Sequential Imputation
by: Yang, Yanjiao, et al.
Published: (2024)

Random Forest for Dynamic Risk Prediction or Recurrent Events: A Pseudo-Observation Approach
by: Loe, Abigail, et al.
Published: (2023)

Evaluating Aggregated Relational Data Models with Simple Diagnostics
by: Laga, Ian, et al.
Published: (2026)

An Efficient Two-Dimensional Functional Mixed-Effect Model Framework for Repeatedly Measured Functional Data
by: Cao, Cheng, et al.
Published: (2024)

Bayesian Modeling for Aggregated Relational Data: A Unified Perspective
by: Ward, Owen G., et al.
Published: (2025)

Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
by: Yang, Cheng-Han, et al.
Published: (2026)

Analysing kinematic data from recreational runners using functional data analysis
by: Gunning, Edward, et al.
Published: (2024)

Statistical Inference for Heterogeneous Treatment Effect with Right-censored Data from Synthesizing Randomized Clinical Trials and Real-world Data
by: Mao, Guangcai, et al.
Published: (2025)

A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data
by: Guo, Xingche, et al.
Published: (2023)

A Goodness-of-Fit Test for Mixed-Effects Logistic Regression
by: Linden, Ariel
Published: (2026)

Prediction Inference Using Generalized Functional Mixed Effects Models
by: Zhou, Xinkai, et al.
Published: (2025)

Bootstrap-Aggregated Method-of-Moments Estimation of the Copula Correlation Parameter for Marginal Survival Inference under Dependent Censoring
by: Zhang, Hyun-Soo, et al.
Published: (2026)

Density Prediction of Income Distribution Based on Mixed Frequency Data
by: Wang, Yinzhi, et al.
Published: (2025)

Random Effect Restricted Mean Survival Time Model
by: Hanada, Keisuke, et al.
Published: (2024)

Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles
by: Feldman, Joseph, et al.
Published: (2024)

Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
by: Teng, Wen, et al.
Published: (2024)

Stochastic Nonparametric Estimation of the Density-Flow Curve
by: Kriuchkov, Iaroslav, et al.
Published: (2023)

Modeling Time-Varying Effects of Mobile Health Interventions Using Longitudinal Functional Data from HeartSteps Micro-Randomized Trial
by: Yu, Jiaxin, et al.
Published: (2024)

Finite-Sample Valid Randomization Tests for Monotone Spillover Effects
by: Huang, Shunzhuang, et al.
Published: (2025)

Considerations for the Integration of Randomized Controlled Trials and Real-World Data
by: Qiu, Sky, et al.
Published: (2026)

Similarity-based Random Partition Distribution for Clustering Functional Data
by: Wakayama, Tomoya, et al.
Published: (2023)

Estimating Covariate Effects on Functional Connectivity using Voxel-Level fMRI Data
by: Zhao, Wei, et al.
Published: (2025)

Stochastic Search Variable Selection for Bayesian Generalized Linear Mixed Effect Models
by: Ding, Feng, et al.
Published: (2024)

The Multiplex $p_2$ Model: Mixed-Effects Modeling for Multiplex Social Networks
by: Hong, Anni, et al.
Published: (2024)

Manipulating a Continuous Instrumental Variable in an Observational Study of Premature Babies: Algorithm, Partial Identification Bounds, and Inference under Randomization and Biased Randomization Assumptions
by: Chen, Zhe, et al.
Published: (2024)

Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
by: Kim, Seongmin, et al.
Published: (2025)

Model-Twin Randomization (MoTR) for Estimating the Recurring Individual Treatment Effect
by: Daza, Eric J., et al.
Published: (2022)

Detecting and Understanding the Difference between Natural Mediation Effects and Their Randomized Interventional Analogues
by: Yu, Ang, et al.
Published: (2024)

Randomization Tests for Distributions of Individual Treatment Effects via Combined Rank Statistics
by: Kim, David, et al.
Published: (2026)

Inference for Heterogeneous Graphical Models using Doubly High-Dimensional Linear-Mixed Models
by: Yue, Kun, et al.
Published: (2024)

Spatially Selected and Dependent Random Effects for Small Area Estimation with Application to Rent Burden
by: Kawano, Sho, et al.
Published: (2024)

Partial frontiers are not quantiles
by: Dai, Sheng, et al.
Published: (2022)

Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)

An Estimator-Robust Design for Augmenting Randomized Controlled Trial with External Real-World Data
by: Qiu, Sky, et al.
Published: (2025)