Multi-Parameter Estimation of Prevalence (MPEP): A Bayesian modelling approach to estimate the prevalence of opioid dependence
Fuente:
arXiv
Saved in:
| Main Authors: | Markoulidakis, Andreas, Hickman, Matthew, Welton, Nicky J, Meligkotsidou, Loukia, Jones, Hayley E |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Commentary on Dowd et al .: Beyond single data sources—Consistency checking and evidence synthesis for prevalence estimation
by: Hayley E. Jones, et al.
Published: (2026)
by: Hayley E. Jones, et al.
Published: (2026)
Meta-analysis of diagnostic test accuracy with multiple disease stages: combining stage-specific and merged-stage data
by: Derezea, Efthymia, et al.
Published: (2025)
by: Derezea, Efthymia, et al.
Published: (2025)
Meta-analysis of networks of diagnostic tests with binary and continuous results
by: Derezea, Efthymia, et al.
Published: (2026)
by: Derezea, Efthymia, et al.
Published: (2026)
Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis
by: Phillippo, David M., et al.
Published: (2024)
by: Phillippo, David M., et al.
Published: (2024)
Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines
by: Phillippo, David M., et al.
Published: (2025)
by: Phillippo, David M., et al.
Published: (2025)
Marginal and conditional summary measures: transportability and compatibility across studies
by: Remiro-Azócar, Antonio, et al.
Published: (2025)
by: Remiro-Azócar, Antonio, et al.
Published: (2025)
Effect modification and non-collapsibility leads to conflicting treatment decisions: a review of marginal and conditional estimands and recommendations for decision-making
by: Phillippo, David M., et al.
Published: (2024)
by: Phillippo, David M., et al.
Published: (2024)
Unbiased Parameter Estimation for Bayesian Inverse Problems
by: Chada, Neil K., et al.
Published: (2025)
by: Chada, Neil K., et al.
Published: (2025)
A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic Health Records with incomplete baseline diagnoses
by: Pitt, Matilda, et al.
Published: (2026)
by: Pitt, Matilda, et al.
Published: (2026)
DiPPER: A Bayesian approach to differential prevalence analysis with applications in microbiome studies
by: Pelto, Juho, et al.
Published: (2026)
by: Pelto, Juho, et al.
Published: (2026)
Bayesian estimation of clustered dependence structures in functional neuroconnectivity
by: Kim, Hyoshin, et al.
Published: (2023)
by: Kim, Hyoshin, et al.
Published: (2023)
Parameter identifiability, parameter estimation and model prediction for differential equation models
by: Simpson, Matthew J, et al.
Published: (2024)
by: Simpson, Matthew J, et al.
Published: (2024)
The effect of estimating prevalences on the population-wise error rate
by: Luschei, Remi, et al.
Published: (2023)
by: Luschei, Remi, et al.
Published: (2023)
Estimating the prevalance of indirect effects and other spillovers
by: Choi, David
Published: (2023)
by: Choi, David
Published: (2023)
Bayesian Parameter Estimation of Normal Distribution from Sample Mean and Extreme Values
by: Matsumoto, Tomoki
Published: (2024)
by: Matsumoto, Tomoki
Published: (2024)
A Bayesian approach for unadjudicated events in cardiovascular disease cohort studies
by: Islam, Mirajul, et al.
Published: (2025)
by: Islam, Mirajul, et al.
Published: (2025)
Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters
by: Newman, Thomas, et al.
Published: (2024)
by: Newman, Thomas, et al.
Published: (2024)
A Bayesian decision-theoretic approach to sparse estimation
by: Li, Aihua, et al.
Published: (2025)
by: Li, Aihua, et al.
Published: (2025)
NExON-Bayes: A Bayesian approach to network estimation informed by ordinal covariates
by: Feest, Joseph, et al.
Published: (2025)
by: Feest, Joseph, et al.
Published: (2025)
Bayesian estimation for novel geometric INGARCH model
by: Andrews, Divya Kuttenchalil, et al.
Published: (2024)
by: Andrews, Divya Kuttenchalil, et al.
Published: (2024)
A Bayesian Generalized Bridge Regression Approach to Covariance Estimation in the Presence of Covariates
by: Zhao, Christina, et al.
Published: (2024)
by: Zhao, Christina, et al.
Published: (2024)
A Bayesian prevalence-incidence mixture model for screening outcomes with misclassification
by: Klausch, Thomas, et al.
Published: (2024)
by: Klausch, Thomas, et al.
Published: (2024)
Direct-Assisted Bayesian Unit-level Modeling for Small Area Estimation of Rare Event Prevalence
by: McGovern, Alana, et al.
Published: (2024)
by: McGovern, Alana, et al.
Published: (2024)
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)
Latent class multivariate probit and latent trait models for evaluating test accuracy without a gold standard: A simulation study
by: Cerullo, Enzo, et al.
Published: (2025)
by: Cerullo, Enzo, et al.
Published: (2025)
Bayesian copula-based modelling for multi-type spatio-temporal epidemic data
by: Adeoye, Matthew, et al.
Published: (2026)
by: Adeoye, Matthew, et al.
Published: (2026)
Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function
by: Murphy-Barltrop, C. J. R., et al.
Published: (2023)
by: Murphy-Barltrop, C. J. R., et al.
Published: (2023)
On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary errors
by: Sousa, Alex Rodrigo dos S., et al.
Published: (2024)
by: Sousa, Alex Rodrigo dos S., et al.
Published: (2024)
Parameter estimation in Comparative Judgement
by: Hamilton, Ian, et al.
Published: (2024)
by: Hamilton, Ian, et al.
Published: (2024)
Neural Parameter Estimation with Incomplete Data
by: Sainsbury-Dale, Matthew, et al.
Published: (2025)
by: Sainsbury-Dale, Matthew, et al.
Published: (2025)
Bayesian Covariance Estimation for Multi-group Matrix-variate Data
by: Bersson, Elizabeth, et al.
Published: (2023)
by: Bersson, Elizabeth, et al.
Published: (2023)
Bayesian Multi-Group Functional Factor Models with Parameter-Expanded Cumulative Shrinkage Priors
by: Dai, Xuanye, et al.
Published: (2026)
by: Dai, Xuanye, et al.
Published: (2026)
A multi-stage Bayesian approach to fit spatial point process models
by: Ren, Rachael, et al.
Published: (2025)
by: Ren, Rachael, et al.
Published: (2025)
Parameter estimation for cellular automata
by: Kazarnikov, Alexey, et al.
Published: (2023)
by: Kazarnikov, Alexey, et al.
Published: (2023)
A Bayesian shrinkage estimator for transfer learning
by: Abba, Mohamed A., et al.
Published: (2024)
by: Abba, Mohamed A., et al.
Published: (2024)
Estimating Shapley Effects in Big-Data Emulation and Regression Settings using Bayesian Additive Regression Trees
by: Horiguchi, Akira, et al.
Published: (2023)
by: Horiguchi, Akira, et al.
Published: (2023)
Weighted least squares estimation by multivariate-dependent weights for linear regression models
by: Huang, Lei, et al.
Published: (2026)
by: Huang, Lei, et al.
Published: (2026)
An energy-based model approach to rare event probability estimation
by: Friedli, Lea, et al.
Published: (2023)
by: Friedli, Lea, et al.
Published: (2023)
Supervised Bayesian joint graphical model for simultaneous network estimation and subgroup identification
by: Qin, Xing, et al.
Published: (2024)
by: Qin, Xing, et al.
Published: (2024)
Bridging Item Response Theory and Factor Analysis: A Four-Parameter Mixture-Dichotomized Model with Bayesian Estimation
by: Pavlech, Ján, et al.
Published: (2024)
by: Pavlech, Ján, et al.
Published: (2024)
Similar Items
-
Commentary on Dowd et al .: Beyond single data sources—Consistency checking and evidence synthesis for prevalence estimation
by: Hayley E. Jones, et al.
Published: (2026) -
Meta-analysis of diagnostic test accuracy with multiple disease stages: combining stage-specific and merged-stage data
by: Derezea, Efthymia, et al.
Published: (2025) -
Meta-analysis of networks of diagnostic tests with binary and continuous results
by: Derezea, Efthymia, et al.
Published: (2026) -
Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis
by: Phillippo, David M., et al.
Published: (2024) -
Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines
by: Phillippo, David M., et al.
Published: (2025)