Group Testing Regression Analysis with Missing Data and Imperfect Tests
From MaRDI portal
Publication:6185127
DOI10.5705/ss.202021.0382MaRDI QIDQ6185127
Aurore Delaigle, Unnamed Author
Publication date: 29 January 2024
Published in: Statistica Sinica (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Nonparametric estimation of regression functions with both categorical and continuous data
- Nonparametric regression with homogeneous group testing data
- Regression models for group testing: identifiability and asymptotics
- Estimating Equations Inference With Missing Data
- 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
- The Lindberg–Feller Theorem for Sums of a Random Number of Independent Random Variables in a Triangular Array
- Inference and missing data
- A general instrumental variable framework for regression analysis with outcome missing not at random
- Bayesian regression for group testing data
- Semiparametric Estimation with Data Missing Not at Random Using an Instrumental Variable
- Single-index regression for pooled biomarker data
- Regression Models for Disease Prevalence with Diagnostic Tests on Pools of Serum Samples
- From mixed effects modeling to spike and slab variable selection: A Bayesian regression model for group testing data
- Semiparametric isotonic regression modelling and estimation for group testing data
- Nonparametric Regression With Missing Outcomes Using Weighted Kernel Estimating Equations
- A Semiparametric Estimation of Mean Functionals With Nonignorable Missing 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
- Bayesian Methods for Predicting Interacting Protein Pairs Using Domain Information
- Linear Statistical Inference and its Applications
- Group Testing Regression Models with Fixed and Random Effects
- Revisiting Nested Group Testing Procedures: New Results, Comparisons, and Robustness
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