Sample size determination for high dimensional parameter estimation with application to biomarker identification
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Publication:1662060
DOI10.1016/j.csda.2017.08.010zbMath1469.62087OpenAlexW2755244236MaRDI QIDQ1662060
Publication date: 17 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2017.08.010
Asymptotic properties of parametric estimators (62F12) Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Cites Work
- Unnamed Item
- ROC analysis with multiple classes and multiple tests: methodology and its application in microarray studies
- Covariance regularization by thresholding
- High-dimensional covariance estimation by minimizing \(\ell _{1}\)-penalized log-determinant divergence
- An empirical estimator for the sparsity of a large covariance matrix under multivariate normal assumptions
- Bernstein inequality and moderate deviations under strong mixing conditions
- Statistical Methods in Diagnostic Medicine
- Probability Inequalities for the Sum of Independent Random Variables
- Sample size for positive and negative predictive value in diagnostic research using case–control designs
- Gene expression analysis with the parametric bootstrap
- Prospective studies of diagnostic test accuracy when disease prevalence is low
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