Correcting inferences for volunteer-collected data with geospatial sampling bias
Fuente:
arXiv
Saved in:
| Main Authors: | Lugtig, Peter, van Kesteren, Erik-Jan, Timmers, Annemarie |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Causal inference and racial bias in policing: New estimands and the importance of mobility data
by: Huang, Zhuochao, et al.
Published: (2024)
by: Huang, Zhuochao, et al.
Published: (2024)
Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
by: Cheng, Chao, et al.
Published: (2023)
by: Cheng, Chao, et al.
Published: (2023)
Projection-based two-sample inference for sparsely observed multivariate functional data
by: Koner, Salil, et al.
Published: (2023)
by: Koner, Salil, et al.
Published: (2023)
Causal inference with dyadic data in randomized experiments
by: Li, Yilin, et al.
Published: (2025)
by: Li, Yilin, et al.
Published: (2025)
Combining observational and experimental data for causal inference considering data privacy
by: Mann, Charlotte Z., et al.
Published: (2023)
by: Mann, Charlotte Z., et al.
Published: (2023)
Priming bias versus post-treatment bias in experimental designs
by: Blackwell, Matthew, et al.
Published: (2023)
by: Blackwell, Matthew, et al.
Published: (2023)
Sequential Methods for Error Correction of Probabilistic Wind Power Forecasts
by: Jørgensen, Bastian Schmidt, et al.
Published: (2025)
by: Jørgensen, Bastian Schmidt, et al.
Published: (2025)
Integrating representative and non-representative survey data for efficient inference
by: Dyrkton, Nathaniel, et al.
Published: (2024)
by: Dyrkton, Nathaniel, et al.
Published: (2024)
Approximate Bayesian inference for high-resolution spatial disaggregation using alternative data sources
by: Pakrashi, Anis, et al.
Published: (2024)
by: Pakrashi, Anis, et al.
Published: (2024)
Do-search -- a tool for causal inference and study design with multiple data sources
by: Karvanen, Juha, et al.
Published: (2020)
by: Karvanen, Juha, et al.
Published: (2020)
Autoregressive models for panel data causal inference with application to state-level opioid policies
by: Antonelli, Joseph, et al.
Published: (2024)
by: Antonelli, Joseph, et al.
Published: (2024)
Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
by: Rustand, Denis, et al.
Published: (2022)
by: Rustand, Denis, et al.
Published: (2022)
Practical considerations for Gaussian Process modeling for causal inference quasi-experimental studies with panel data
by: Vega, Sofia L., et al.
Published: (2025)
by: Vega, Sofia L., et al.
Published: (2025)
Causal inference with a functional outcome
by: Ecker, Kreske, et al.
Published: (2023)
by: Ecker, Kreske, et al.
Published: (2023)
Bayesian inference of Latent Spectral Shapes
by: Yip, Hiu Ching, et al.
Published: (2024)
by: Yip, Hiu Ching, et al.
Published: (2024)
Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
by: Chen, David, et al.
Published: (2024)
by: Chen, David, et al.
Published: (2024)
Optimal allocation of sample size for randomization-based inference from $2^K$ factorial designs
by: Ravichandran, Arun, et al.
Published: (2023)
by: Ravichandran, Arun, et al.
Published: (2023)
Link prediction in ecological networks under extreme taxonomic bias
by: Kampe, Jennifer N., et al.
Published: (2025)
by: Kampe, Jennifer N., et al.
Published: (2025)
Non-parametric inference on calibration of predicted risks
by: Sadatsafavi, Mohsen, et al.
Published: (2023)
by: Sadatsafavi, Mohsen, et al.
Published: (2023)
Significant inference and confidence sets for graphical models
by: Koldanov, P. A., et al.
Published: (2025)
by: Koldanov, P. A., et al.
Published: (2025)
Finite-sample bias-variance tradeoff with variables related to trial participation inserted into causal forest models for ensuring generalizability
by: Hamaya, Rikuta, et al.
Published: (2025)
by: Hamaya, Rikuta, et al.
Published: (2025)
Empirical Bayes learning from selectively reported confidence intervals
by: Chen, Hunter, et al.
Published: (2025)
by: Chen, Hunter, et al.
Published: (2025)
A multiscale method for data collected from network edges via the line graph
by: Cao, Dingjia, et al.
Published: (2024)
by: Cao, Dingjia, et al.
Published: (2024)
Alternative statistical inference for the first normalized incomplete moment
by: Lu, Jiannan, et al.
Published: (2025)
by: Lu, Jiannan, et al.
Published: (2025)
Connections as treatment: causal inference with edge interventions in networks
by: Chen, Shuli, et al.
Published: (2026)
by: Chen, Shuli, et al.
Published: (2026)
Selective randomization inference for subgroup effects with continuous biomarkers
by: Gao, Zijun
Published: (2025)
by: Gao, Zijun
Published: (2025)
Robust inference for the unification of confidence intervals in meta-analysis
by: Liang, Wei, et al.
Published: (2024)
by: Liang, Wei, et al.
Published: (2024)
COVID-19 Clinical footprint to infer about mortality
by: Rodríguez, Carlos E., et al.
Published: (2021)
by: Rodríguez, Carlos E., et al.
Published: (2021)
Graph-Based Spatial Segmentation of Health-Related Areal Data
by: Goepp, Vivien, et al.
Published: (2022)
by: Goepp, Vivien, et al.
Published: (2022)
Design-based inference for generalized network experiments with stochastic interventions
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
Conformal inference for cell type annotation with graph-structured constraints
by: Corbetta, Daniela, et al.
Published: (2024)
by: Corbetta, Daniela, et al.
Published: (2024)
Robust Bayesian causal estimation for causal inference in medical diagnosis
by: Basu, Tathagata, et al.
Published: (2024)
by: Basu, Tathagata, et al.
Published: (2024)
A simple strategy for valid inference in target trial emulations
by: Stensrud, Mats Julius
Published: (2026)
by: Stensrud, Mats Julius
Published: (2026)
A calibrated BISG for inferring race from surname and geolocation
by: Greengard, Philip, et al.
Published: (2023)
by: Greengard, Philip, et al.
Published: (2023)
Cheap Subsampling bootstrap confidence intervals for fast and robust inference
by: Ohlendorff, Johan Sebastian, et al.
Published: (2025)
by: Ohlendorff, Johan Sebastian, et al.
Published: (2025)
Automated threshold selection and associated inference uncertainty for univariate extremes
by: Murphy, Conor, et al.
Published: (2023)
by: Murphy, Conor, et al.
Published: (2023)
Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes
by: Loewinger, Gabriel, et al.
Published: (2024)
by: Loewinger, Gabriel, et al.
Published: (2024)
Robust inference for linear regression models with possibly skewed error distribution
by: Nandy, Amarnath, et al.
Published: (2024)
by: Nandy, Amarnath, et al.
Published: (2024)
Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
by: Castelletti, Federico, et al.
Published: (2024)
by: Castelletti, Federico, et al.
Published: (2024)
Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts
by: Kendall, Emmett B., et al.
Published: (2021)
by: Kendall, Emmett B., et al.
Published: (2021)
Similar Items
-
Causal inference and racial bias in policing: New estimands and the importance of mobility data
by: Huang, Zhuochao, et al.
Published: (2024) -
Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
by: Cheng, Chao, et al.
Published: (2023) -
Projection-based two-sample inference for sparsely observed multivariate functional data
by: Koner, Salil, et al.
Published: (2023) -
Causal inference with dyadic data in randomized experiments
by: Li, Yilin, et al.
Published: (2025) -
Combining observational and experimental data for causal inference considering data privacy
by: Mann, Charlotte Z., et al.
Published: (2023)