Pages that link to "Item:Q4666635"
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The following pages link to Using Pooled Exposure Assessment to Improve Efficiency in Case‐Control Studies (Q4666635):
Displaying 14 items.
- A combined efficient design for biomarker data subject to a limit of detection due to measuring instrument sensitivity (Q766005) (← links)
- An efficient design strategy for logistic regression using outcome-and covariate-dependent pooling of biospecimens prior to assay (Q2827220) (← links)
- Case-control data analysis for randomly pooled biomarkers (Q2829452) (← links)
- Regression analysis for a summed missing data problem under an outcome-dependent sampling scheme (Q2856542) (← links)
- Pooling designs for outcomes under a Gaussian random effects model (Q2893980) (← links)
- Binary Regression Analysis with Pooled Exposure Measurements: A Regression Calibration Approach (Q3013995) (← links)
- On Latent-Variable Model Misspecification in Structural Measurement Error Models for Binary Response (Q3183204) (← links)
- Statistical Inference Based on Pooled Data: A Moment-Based Estimating Equation Approach (Q3592664) (← links)
- Single-index regression for pooled biomarker data (Q4559454) (← links)
- Regression for skewed biomarker outcomes subject to pooling (Q4979251) (← links)
- Nonparametric-likelihood inference based on cost-effectively-sampled-data (Q5124801) (← links)
- Nonparametric deconvolution of density estimation based on observed sums (Q5189258) (← links)
- Survival analysis under the Cox proportional hazards model with pooled covariates (Q6627943) (← links)
- Preserving data privacy when using multi-site data to estimate individualized treatment rules (Q6628046) (← links)
