Cover Image

A joint model for DHS and MICS surveys: Spatial modeling with anonymized locations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Paige, John, Fuglstad, Geir-Arne, Riebler, Andrea
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Non-stationary Spatial Modeling Using Fractional SPDEs
by: Svee, Elling, et al.
Published: (2025)

Space-Time Smoothing of Survey Outcomes using the R Package SUMMER
by: Li, Zehang Richard, et al.
Published: (2020)

Sampling distributions for complex design variance estimators in a Fay-Herriot model
by: McGovern, Alana, et al.
Published: (2026)

Non-stationary Spatio-Temporal Modeling Using the Stochastic Advection-Diffusion Equation
by: Berild, Martin Outzen, et al.
Published: (2024)

ARMA approximation of a Non-separable Spatio-Temporal Model with Fractional Smoothnesses in Space and Time
by: Furset, S. Knutsen, et al.
Published: (2026)

Joint Modelling of Line and Point Data on Metric Graphs
by: Lilleborge, Karina, et al.
Published: (2025)

The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics
by: Wakefield, Jon, et al.
Published: (2021)

Spatial error models with heteroskedastic normal perturbations and joint modeling of mean and variance
by: Toloza, J. D., et al.
Published: (2024)

A Bayesian location-scale joint model for time-to-event and multivariate longitudinal data with association based on within-individual variability
by: Palma, Marco, et al.
Published: (2025)

A location-scale joint model for studying the link between the time-dependent subject-specific variability of blood pressure and competing events
by: Courcoul, Léonie, et al.
Published: (2023)

A Bayesian joint model for mediation analysis with matrix-valued mediators
by: Liu, Zijin, et al.
Published: (2023)

Bayesian spatial+: A joint model perspective
by: Marques, Isa, et al.
Published: (2023)

Infinite joint species distribution models
by: Stolf, Federica, et al.
Published: (2024)

Asymptotic utility of spectral anonymization
by: Perkonoja, Katariina, et al.
Published: (2024)

A joint model of correlated ordinal and continuous variables
by: Vana-Gür, Laura, et al.
Published: (2024)

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

A general joint latent class model of longitudinal and survival data with the covariance modelling
by: Miao, Ruoyu, et al.
Published: (2025)

Multinomial probit model based on joint quantile regression
by: Okabe, Masaaki, et al.
Published: (2025)

Integrated differential analysis of multi-omics data using a joint mixture model: idiffomix
by: Majumdar, Koyel, et al.
Published: (2024)

A joint modeling approach to treatment effects estimation with unmeasured confounders
by: Lee, Namhwa, et al.
Published: (2024)

A joint spatiotemporal model for multiple longitudinal markers and competing events
by: Ortholand, Juliette, et al.
Published: (2025)

Bayesian shared parameter joint models for heterogeneous populations
by: Chen, Sida, et al.
Published: (2024)

A time-varying bivariate copula joint model for longitudinal and time-to-event data
by: Zhang, Zili, et al.
Published: (2022)

A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data
by: Afonso, Pedro Miranda, et al.
Published: (2024)

Supervised Bayesian joint graphical model for simultaneous network estimation and subgroup identification
by: Qin, Xing, et al.
Published: (2024)

Personalized feature threshold estimation in joint modelling of longitudinal and time-to-event data
by: Islam, Mirajul, et al.
Published: (2025)

Data anonymization in the presence of outliers via invariant coordinate selection
by: Perkonoja, Katariina, et al.
Published: (2026)

Bayesian feature selection in joint models with application to a cardiovascular disease cohort study
by: Islam, Mirajul, et al.
Published: (2024)

Adaptive enrichment trial designs using joint modeling of longitudinal and time-to-event data
by: Burdon, Abigail J., et al.
Published: (2023)

A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data
by: Abbott, Madeline R., et al.
Published: (2024)

A multivariate spatial model for ordinal survey-based data
by: Beltrán-Sánchez, Miguel Ángel, et al.
Published: (2025)

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

Using joint models in phase I dose-finding designs in oncology: considerations for frequentist approaches
by: Chen, Xijin, et al.
Published: (2025)

An efficient joint model for high dimensional longitudinal and survival data via generic association features
by: Nguyen, Van Tuan, et al.
Published: (2023)

Spatial weights matrix selection and model averaging for multivariate spatial autoregressive models
by: Miao, Xin, et al.
Published: (2025)

A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution
by: Neto, Dionisio Silva, et al.
Published: (2025)

A comparative overview of win ratio and joint frailty models for recurrent event endpoints with applications in oncology and cardiology
by: Orué, Adrien, et al.
Published: (2025)

Assessing the impact of variance heterogeneity and misspecification in mixed-effects location-scale models
by: Jeanselme, Vincent, et al.
Published: (2025)

A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches
by: Alvares, Danilo, et al.
Published: (2024)

Analysis of cohort stepped wedge cluster-randomized trials with non-ignorable dropout via joint modeling
by: Gasparini, Alessandro, et al.
Published: (2024)