Pages that link to "Item:Q3191467"
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The following pages link to Semiparametric group testing regression models (Q3191467):
Displaying 23 items.
- Nonparametric regression with homogeneous group testing data (Q450024) (← links)
- Determination of varying group sizes for pooling procedure (Q2003657) (← links)
- Optimizing pooled testing for estimating the prevalence of multiple diseases (Q2102992) (← links)
- Regression models for group testing: identifiability and asymptotics (Q2317345) (← links)
- Estimating covariate-adjusted measures of diagnostic accuracy based on pooled biomarker assessments (Q3188708) (← links)
- New approaches to nonparametric and semiparametric regression for univariate and multivariate group testing data (Q3191466) (← links)
- Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates (Q3304867) (← links)
- Regression Models for Grouped Populations in Cross-Section Surveys, Correspondent Paper (Q3684978) (← links)
- Bayesian regression for group testing data (Q4556728) (← links)
- Single-index regression for pooled biomarker data (Q4559454) (← links)
- Semiparametric isotonic regression modelling and estimation for group testing data (Q5094244) (← links)
- Properties of a One-Sided Likelihood Ratio Test as Applied to Pool Screening (Q5172819) (← links)
- Regression analysis of misclassified current status data (Q5221295) (← links)
- Two‐Stage Hierarchical Group Testing for Multiple Infections with Application to the Infertility Prevention Project (Q5408030) (← links)
- groupTesting: an R package for group testing estimation (Q6125015) (← links)
- Regression analysis of misclassified current status data with informative observation times (Q6131031) (← links)
- Semiparametric probit regression model with misclassified current status data (Q6149280) (← links)
- Variable selection for misclassified current status data under the proportional hazards model (Q6558519) (← links)
- Estimating the prevalence of two or more diseases using outcomes from multiplex group testing (Q6572288) (← links)
- Incorporating retesting outcomes for estimation of disease prevalence (Q6627485) (← links)
- Incorporating the dilution effect in group testing regression (Q6627810) (← links)
- A simulation-extrapolation approach for regression analysis of misclassified current status data with the additive hazards model (Q6628172) (← links)
- Capturing the pool dilution effect in group testing regression: a Bayesian approach (Q6629319) (← links)
