Copertina

How many federal employees are not satisfied? Using response times to estimate population proportions under the survey variable cause model

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Auerbach, Jonathan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Applications Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A marginalized three-part interrupted time series regression model for proportional data
di: Ye, Shangyuan, et al.
Pubblicazione: (2022)

Estimation of finite population proportions for small areas -- a statistical data integration approach
di: Sen, Aditi, et al.
Pubblicazione: (2023)

Efficiency of nonparametric superiority tests based on restricted mean survival time versus the log-rank test under proportional hazards
di: Magirr, Dominic, et al.
Pubblicazione: (2024)

Statistical Considerations for Evaluating Treatment Effect under Various Non-proportional Hazard Scenarios
di: Zhang, Xinyu, et al.
Pubblicazione: (2024)

Bayesian variable selection in a Cox proportional hazards model with the "Sum of Single Effects" prior
di: Yang, Yunqi, et al.
Pubblicazione: (2025)

Comparing estimators of discriminative performance of time-to-event models
di: Jin, Ying, et al.
Pubblicazione: (2024)

A brief introduction on latent variable based ordinal regression models with an application to survey data
di: Wieditz, Johannes, et al.
Pubblicazione: (2023)

Statistical tests for comparing the associations of multiple exposures with a common outcome in Cox proportional hazard models
di: Hamaya, Rikuta, et al.
Pubblicazione: (2024)

Estimators of different delta coefficients based on the unbiased estimator of the expected proportions of agreements
di: Andrés, A. Martín, et al.
Pubblicazione: (2026)

Hierarchical models for small area estimation using zero-inflated forest inventory variables: comparison and implementation
di: White, Grayson W., et al.
Pubblicazione: (2025)

One-sample survival tests in the presence of non-proportional hazards in oncology clinical trials
di: Szurewsky, Chloé, et al.
Pubblicazione: (2025)

A continuous-time Markov chain framework for population size estimation from multi-list data: accounting for absorbing lists and asymmetric interactions
di: Schaller, Ophélie, et al.
Pubblicazione: (2026)

A time warping model for seasonal data with application to age estimation from narwhal tusks
di: Reiter, Lars Nørtoft, et al.
Pubblicazione: (2024)

A longitudinal Bayesian framework for estimating causal dose-response relationships
di: Luo, Yu, et al.
Pubblicazione: (2025)

Item response parameter estimation performance using Gaussian quadrature and Laplace
di: Arrington, Leticia, et al.
Pubblicazione: (2024)

Bayesian semiparametric modelling of biomarker variability in joint models
di: Chen, Sida, et al.
Pubblicazione: (2025)

Dependent stochastic block models for age-indexed sequences of directed causes-of-death networks
di: Romanò, Giovanni, et al.
Pubblicazione: (2025)

Bayesian hidden Markov models for latent variable labeling assignments in conflict research: application to the role ceasefires play in conflict dynamics
di: Williams, Jonathan P, et al.
Pubblicazione: (2021)

Functional structural equation modeling with latent variables
di: Asgari, Fatemeh, et al.
Pubblicazione: (2024)

Combining BART and Principal Stratification to estimate the effect of intermediate variables on primary outcomes with application to estimating the effect of family planning on employment in Nigeria and Senegal
di: Garraza, Lucas Godoy, et al.
Pubblicazione: (2024)

Inferring a population composition from survey data with nonignorable nonresponse: Borrowing information from external sources
di: Ballerini, Veronica, et al.
Pubblicazione: (2022)

Effects of model misspecification on small area estimators
di: Chen, Yuting, et al.
Pubblicazione: (2024)

Comparing causal parameters with many treatments and positivity violations
di: McClean, Alec, et al.
Pubblicazione: (2024)

Flexible unimodal density estimation in hidden Markov models
di: Koslik, Jan-Ole, et al.
Pubblicazione: (2025)

A latent variable model for identifying and characterizing food adulteration
di: Casa, Alessandro, et al.
Pubblicazione: (2025)

Gradient boosted multi-population mortality modelling with high-frequency data
di: Miao, Ziting, et al.
Pubblicazione: (2025)

Spatiotemporal factor models for functional data with application to population map forecast
di: Wakayama, Tomoya, et al.
Pubblicazione: (2023)

Model-assisted estimation for MRV: How to boost the economics of SOC sequestration projects without compromising on scientific integrity
di: Awad, Ahmad, et al.
Pubblicazione: (2025)

Addressing errors in multiple variables using generalized raking and cumulative probability models
di: Kawaguchi, Eric S., et al.
Pubblicazione: (2026)

Accounting for variable detection functions in temporal abundance modeling via transfer learning
di: Collins, Kevin M., et al.
Pubblicazione: (2026)

Functional and variables selection in extreme value models for regional flood frequency analysis
di: Gardini, Aldo
Pubblicazione: (2023)

A non-parametric estimator for Archimedean copulas under flexible censoring scenarios and an application to claims reserving
di: Michaelides, Marie, et al.
Pubblicazione: (2024)

Space-time extremes of severe US thunderstorm environments
di: Koh, Jonathan, et al.
Pubblicazione: (2022)

How to develop, externally validate, and update multinomial prediction models
di: Gehringer, Celina K, et al.
Pubblicazione: (2023)

A dimension reduction approach to edge weight estimation for use in spatial models
di: Christensen, Michael F., et al.
Pubblicazione: (2024)

Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
di: Strömer, Annika, et al.
Pubblicazione: (2024)

Extreme-value modelling of migratory bird arrival dates: Insights from citizen science data
di: Koh, Jonathan, et al.
Pubblicazione: (2023)

Simultaneous estimation of the effective reproduction number and the time series of daily infections: Application to Covid-19
di: Künsch, Hans R., et al.
Pubblicazione: (2025)

Evaluating the impact of instrumental variables in propensity score models using synthetic and negative control experiments
di: Tian, Yuxi, et al.
Pubblicazione: (2024)

Gaussian mixture copulas for flexible dependence modelling in the body and tails of joint distributions
di: André, Lídia M., et al.
Pubblicazione: (2025)