A semiparametric method for risk prediction using integrated electronic health record data
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Publication:6665515
DOI10.1214/24-AOAS1938MaRDI QIDQ6665515
Jinbo Chen, Yizheng Wei, Ravi Parikh, Jill Hasler, Yanyuan Ma
Publication date: 17 January 2025
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Cites Work
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- Semi-empirical likelihood inference for the ROC curve with missing data
- Local case-control sampling: efficient subsampling in imbalanced data sets
- Adopting nested case-control quota sampling designs for the evaluation of risk markers
- The asymptotic effect of substituting estimators for parameters in certain types of statistics
- Large sample theory for semiparametric regression models with two-phase, outcome dependent sampling.
- Improving efficiency in biomarker incremental value evaluation under two-phase designs
- Contribution to the theory of sampling human populations.
- Assessing incremental value of biomarkers with multi-phase nested case-control studies
- Evaluating prognostic accuracy of biomarkers in nested case-control studies
- A paradox concerning nuisance parameters and projected estimating functions
- Fitting regression models with response-biased samples
- A note on semiparametric efficient inference for two-stage outcome-dependent sampling with a continuous outcome
- A case-cohort design for epidemiologic cohort studies and disease prevention trials
- Logistic regression for two-stage case-control data
- Semiparametric Methods for Response-Selective and Missing Data Problems in Regression
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Fitting regression models to case-control data by maximum likelihood
- Design and Analysis of Two-Phase Studies with Binary Outcome Applied to Wilms Tumour Prognosis
- A Weighted Estimating Equation for Missing Covariate Data with Properties Similar to Maximum Likelihood
- Novel two‐phase sampling designs for studying binary outcomes
- Optimal Designs of Two-Phase Studies
- Robust risk prediction with biomarkers under two‐phase stratified cohort design
- Resampling Procedures for Making Inference Under Nested Case–Control Studies
- Empirical and conditional likelihoods for two‐phase studies
- Generalized case‐control sampling under generalized linear models
- Improving estimation efficiency for two-phase, outcome-dependent sampling studies
- Efficient Augmented Inverse Probability Weighted Estimation in Missing Data Problems
- Evaluating classification performance of biomarkers in two-phase case-control studies
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