Group testing regression analysis with covariates and specimens subject to missingness
From MaRDI portal
Publication:6629961
DOI10.1002/sim.9640zbMATH Open1548.62308MaRDI QIDQ6629961
Aurore Delaigle, Unnamed Author
Publication date: 30 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Nonparametric regression with homogeneous group testing data
- Monte Carlo likelihood inference for missing data models
- Likelihood‐based Inference with Missing Data Under Missing‐at‐Random
- Nonparametric Regression Analysis for Group Testing Data
- New approaches to nonparametric and semiparametric regression for univariate and multivariate group testing data
- Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates
- Nonparametric methods for group testing data, taking dilution into account
- Bias, efficiency, and agreement for group-testing regression models
- Asymptotic Statistics
- Discrete Choice Models for Nonmonotone Nonignorable Missing Data: Identification and Inference
- Single-index regression for pooled biomarker data
- Regression Models for Disease Prevalence with Diagnostic Tests on Pools of Serum Samples
- On Inverse Probability Weighting for Nonmonotone Missing at Random Data
- Pattern-Mixture Models for Multivariate Incomplete Data
- A semi-local likelihood regression estimator of the proportion based on group testing data
- Nonparametric and Parametric Estimators of Prevalence From Group Testing Data With Aggregated Covariates
- Group Testing Regression Models with Fixed and Random Effects
- Revisiting Nested Group Testing Procedures: New Results, Comparisons, and Robustness
- Group Testing Regression Analysis with Missing Data and Imperfect Tests
This page was built for publication: Group testing regression analysis with covariates and specimens subject to missingness
