Some Statistical and Data Challenges When Building Early-Stage Digital Experimentation and Measurement Capabilities
Fuente:
arXiv
Saved in:
| Main Author: | Liu, C. H. Bryan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Correcting for Missing Data When Evaluating Surrogate Markers in a Clinical Trial
by: Lotspeich, Sarah C., et al.
Published: (2026)
by: Lotspeich, Sarah C., et al.
Published: (2026)
AgroDesign: A Design-Aware Statistical Inference Framework for Agricultural Experiments in Python
by: Gul, Aqib
Published: (2026)
by: Gul, Aqib
Published: (2026)
Flexible Approach for Statistical Disclosure Control in Geospatial Data
by: Skøien, Jon Olav, et al.
Published: (2024)
by: Skøien, Jon Olav, et al.
Published: (2024)
The Influence of Nuisance Parameter Uncertainty on Statistical Inference in Practical Data Science Models
by: Wan, Yunrong
Published: (2024)
by: Wan, Yunrong
Published: (2024)
A Hybrid Agent-Based and System Dynamics Framework for Modelling Project Execution and Technology Maturity in Early-Stage R&D
by: Pessoa, R. W. S., et al.
Published: (2025)
by: Pessoa, R. W. S., et al.
Published: (2025)
Practical Process Capability Indices Workflows
by: Jiang, Fei, et al.
Published: (2026)
by: Jiang, Fei, et al.
Published: (2026)
Multiple Imputation of Hierarchical Nonlinear Time Series Data with an Application to School Enrollment Data
by: Liu, Daphne H., et al.
Published: (2024)
by: Liu, Daphne H., 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)
by: Mao, Guangcai, et al.
Published: (2025)
Accounting for Missing Data in Public Health Research Using a Synthesis of Statistical and Mathematical Models
by: Zivich, Paul N, et al.
Published: (2025)
by: Zivich, Paul N, et al.
Published: (2025)
Statistical Process Monitoring based on Functional Data Analysis
by: Centofanti, Fabio
Published: (2025)
by: Centofanti, Fabio
Published: (2025)
A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
by: Koslovsky, Matthew D., et al.
Published: (2023)
by: Koslovsky, Matthew D., et al.
Published: (2023)
Statistics of Extremes for Neuroscience
by: Redondo, Paolo V., et al.
Published: (2024)
by: Redondo, Paolo V., et al.
Published: (2024)
Risk-Calibrated Process Capability Approval with Finite Samples
by: Jiang, Fei, et al.
Published: (2026)
by: Jiang, Fei, et al.
Published: (2026)
Statistical Design of Pragmatic Trials Using Electronic Health Record Data when Outcome Assessments are Uncontrolled and Irregular
by: Bobb, Jennifer F., et al.
Published: (2026)
by: Bobb, Jennifer F., et al.
Published: (2026)
Nonlinear Amplification of Finite-Sample Uncertainty in Capability-Based Decisions
by: Jiang, Fei, et al.
Published: (2026)
by: Jiang, Fei, et al.
Published: (2026)
Beyond Point Estimates: Toward Proper Statistical Inferencing and Reporting of Intraclass Correlation Coefficients
by: Liu, Yufeng, et al.
Published: (2026)
by: Liu, Yufeng, et al.
Published: (2026)
Social Media Data for Population Mapping: A Bayesian Approach to Address Representativeness and Privacy Challenges
by: Andrich, Paolo, et al.
Published: (2026)
by: Andrich, Paolo, et al.
Published: (2026)
Optimal Experimental Design for Microplastics Sampling Experiments
by: Aquino-López, Marco A., et al.
Published: (2025)
by: Aquino-López, Marco A., et al.
Published: (2025)
A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
by: Chen, Yunxiao
Published: (2019)
by: Chen, Yunxiao
Published: (2019)
Two-Stage Trigonometric Regression for Modeling Circadian Rhythms
by: Gorczyca, Michael T., et al.
Published: (2025)
by: Gorczyca, Michael T., et al.
Published: (2025)
An Efficient Two-Dimensional Functional Mixed-Effect Model Framework for Repeatedly Measured Functional Data
by: Cao, Cheng, et al.
Published: (2024)
by: Cao, Cheng, et al.
Published: (2024)
Early-Phase Local-Area Model for Pandemics Using Limited Data: A SARS-CoV-2 Application
by: Shi, Jiasheng, et al.
Published: (2022)
by: Shi, Jiasheng, et al.
Published: (2022)
A Multi-Stage Drop-the-Loser Design with Superiority Boundaries
by: Greenstreet, Peter, et al.
Published: (2026)
by: Greenstreet, Peter, et al.
Published: (2026)
Navigating Challenges in Spatio-temporal Modelling of Antarctic Krill Abundance: Addressing Zero-inflated Data and Misaligned Covariates
by: Amaral, André Victor Ribeiro, et al.
Published: (2024)
by: Amaral, André Victor Ribeiro, et al.
Published: (2024)
Statistics of extremes for natural hazards: landslides and earthquakes
by: Yadav, Rishikesh, et al.
Published: (2024)
by: Yadav, Rishikesh, et al.
Published: (2024)
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
by: Imai, Kosuke, et al.
Published: (2022)
by: Imai, Kosuke, et al.
Published: (2022)
DIF Statistical Inference without Knowing Anchoring Items
by: Chen, Yunxiao, et al.
Published: (2021)
by: Chen, Yunxiao, et al.
Published: (2021)
Double machine learning to estimate the effects of multiple treatments and their interactions
by: Xiang, Qingyan, et al.
Published: (2025)
by: Xiang, Qingyan, et al.
Published: (2025)
Experimentation for Homogenous Policy Change
by: Offer-Westort, Molly, et al.
Published: (2021)
by: Offer-Westort, Molly, et al.
Published: (2021)
Design and Analysis of Switchback Experiments
by: Bojinov, Iavor, et al.
Published: (2020)
by: Bojinov, Iavor, et al.
Published: (2020)
A General Framework for Design-Based Treatment Effect Estimation in Paired Cluster-Randomized Experiments
by: Mann, Charlotte Z., et al.
Published: (2024)
by: Mann, Charlotte Z., et al.
Published: (2024)
Nonparametric Estimation and Comparison of Distance Distributions from Censored Data
by: McCabe, Lucas H.
Published: (2023)
by: McCabe, Lucas H.
Published: (2023)
When Tukey meets Chauvenet: a new boxplot criterion for outlier detection
by: Lin, Hongmei, et al.
Published: (2025)
by: Lin, Hongmei, et al.
Published: (2025)
What is Overlap Weighting, How Has it Evolved, and When to Use It for Causal Inference?
by: Lu, Haidong, et al.
Published: (2026)
by: Lu, Haidong, et al.
Published: (2026)
Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
by: Lin, Ziqian, et al.
Published: (2024)
by: Lin, Ziqian, et al.
Published: (2024)
Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework
by: Mignemi, Giuseppe, et al.
Published: (2024)
by: Mignemi, Giuseppe, et al.
Published: (2024)
Assessing the Accuracy of Multisource Register-based Official Statistics for Multinomial Outcomes
by: Deliu, Nina, et al.
Published: (2025)
by: Deliu, Nina, et al.
Published: (2025)
RISE: Two-Stage Rank-Based Identification of High-Dimensional Surrogate Markers Applied to Vaccinology
by: Hughes, Arthur, et al.
Published: (2025)
by: Hughes, Arthur, et al.
Published: (2025)
Causally Sound Priors for Binary Experiments
by: Irons, Nicholas J., et al.
Published: (2023)
by: Irons, Nicholas J., et al.
Published: (2023)
Replicable Bandits for Digital Health Interventions
by: Zhang, Kelly W., et al.
Published: (2024)
by: Zhang, Kelly W., et al.
Published: (2024)
Similar Items
-
Correcting for Missing Data When Evaluating Surrogate Markers in a Clinical Trial
by: Lotspeich, Sarah C., et al.
Published: (2026) -
AgroDesign: A Design-Aware Statistical Inference Framework for Agricultural Experiments in Python
by: Gul, Aqib
Published: (2026) -
Flexible Approach for Statistical Disclosure Control in Geospatial Data
by: Skøien, Jon Olav, et al.
Published: (2024) -
The Influence of Nuisance Parameter Uncertainty on Statistical Inference in Practical Data Science Models
by: Wan, Yunrong
Published: (2024) -
A Hybrid Agent-Based and System Dynamics Framework for Modelling Project Execution and Technology Maturity in Early-Stage R&D
by: Pessoa, R. W. S., et al.
Published: (2025)