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Authors: Kevin K Dobbin
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Journal Article
Development and internal validation of risk scores to diagnose infectious mononucleosis among college students
Xinyan Cai and others
Family Practice, Volume 40, Issue 2, April 2023, Pages 261–267, https://doi.org/10.1093/fampra/cmac105
Published: 08 October 2022
Journal Article
Evaluating biomarkers for treatment selection from reproducibility studies
Xiao Song and Kevin K Dobbin
Biostatistics, Volume 23, Issue 1, January 2022, Pages 173–188, https://doi.org/10.1093/biostatistics/kxaa018
Published: 18 May 2020
Journal Article
Sample size requirements for training high-dimensional risk predictors
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Kevin K. Dobbin and Xiao Song
Biostatistics, Volume 14, Issue 4, September 2013, Pages 639–652, https://doi.org/10.1093/biostatistics/kxt022
Published: 19 July 2013
Journal Article
Lower confidence bounds for prediction accuracy in high dimensions via AROHIL Monte Carlo
Kevin K. Dobbin and Stephanie Cooke
Bioinformatics, Volume 27, Issue 22, November 2011, Pages 3129–3134, https://doi.org/10.1093/bioinformatics/btr542
Published: 28 September 2011
Journal Article
A method for constructing a confidence bound for the actual error rate of a prediction rule in high dimensions
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Kevin K. Dobbin
Biostatistics, Volume 10, Issue 2, April 2009, Pages 282–296, https://doi.org/10.1093/biostatistics/kxn035
Published: 27 November 2008
Journal Article
Sample size planning for developing classifiers using high-dimensional DNA microarray data
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Kevin K. Dobbin and Richard M. Simon
Biostatistics, Volume 8, Issue 1, January 2007, Pages 101–117, https://doi.org/10.1093/biostatistics/kxj036
Published: 13 April 2006
Journal Article
Comment on ‘Evaluation of the gene-specific dye bias in cDNA microarray experiments’
Kevin K. Dobbin and others
Bioinformatics, Volume 21, Issue 12, June 2005, Pages 2803–2804, https://doi.org/10.1093/bioinformatics/bti428
Published: 07 April 2005
Journal Article
Accommodating Stochastic Departures from Percentile Invariance in Causal Models
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Kevin K. Dobbin and Thomas A. Louis
Journal of the Royal Statistical Society Series B: Statistical Methodology, Volume 65, Issue 4, November 2003, Pages 837–849, https://doi.org/10.1111/1467-9868.00418
Published: 28 October 2003