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American Journal of Epidemiology|May 15, 2008
Adjusting for covariates in studies of diagnostic, screening, or prognostic markers: an old concept in a new settingHolly Janes, Margaret S PepeBiometrika|July 24, 2012
Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curveHolly Janes, Margaret S PepeBiometrics|May 16, 2007
Matching in studies of classification accuracy: implications for analysis, efficiency, and assessment of incremental valueHolly Janes, Margaret S PepeStatistics in Medicine|November 21, 2017
First things first: risk model performance metrics should reflect the clinical applicationKathleen F Kerr, Holly JanesCurrent Opinion in HIV and AIDS|July 23, 2013
New clinical trial designs for HIV vaccine evaluationZoe Moodie, Holly Janes, Yunda HuangEpidemiology (Cambridge, Mass.)|October 14, 2005
Case-crossover analyses of air pollution exposure data: referent selection strategies and their implications for biasHolly Janes, Lianne Sheppard, Thomas LumleyBiostatistics (Oxford, England)|March 6, 2010
On quantifying the magnitude of confoundingHolly Janes, Francesca Dominici, Scott ZegerBiometrics|June 4, 2014
Combining biomarkers to optimize patient treatment recommendationsChaeryon Kang, Holly Janes, Ying HuangStatistics in Medicine|November 17, 2004
Overlap bias in the case-crossover design, with application to air pollution exposuresHolly Janes, Lianne Sheppard, Thomas LumleyThe Stata Journal|February 18, 2010
Estimation and Comparison of Receiver Operating Characteristic CurvesMargaret Pepe, Gary Longton, Holly JanesPageof 26