| Year |
Citation |
Score |
| 2019 |
Marsh TL, Janes H, Pepe MS. Statistical inference for net benefit measures in biomarker validation studies. Biometrics. PMID 31732971 DOI: 10.1111/Biom.13190 |
0.621 |
|
| 2017 |
Elmore JG, Barnhill RL, Elder DE, Longton GM, Pepe MS, Reisch LM, Carney PA, Titus LJ, Nelson HD, Onega T, Tosteson ANA, Weinstock MA, Knezevich SR, Piepkorn MW. Pathologists' diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study. Bmj (Clinical Research Ed.). 357: j2813. PMID 28659278 DOI: 10.1136/Bmj.J2813 |
0.314 |
|
| 2017 |
Garrison CB, Marsh T, Buas M, Zhang Y, Pepe M, Lampe PD, Li CI. Abstract 713: Proteomic early detection biomarkers for ER+ breast cancer to improve mammography screening Cancer Research. 77: 713-713. DOI: 10.1158/1538-7445.Am2017-713 |
0.339 |
|
| 2016 |
Pepe MS, Janes H, Li CI, Bossuyt PM, Feng Z, Hilden J. Early-Phase Studies of Biomarkers: What Target Sensitivity and Specificity Values Might Confer Clinical Utility? Clinical Chemistry. PMID 27001493 DOI: 10.1373/Clinchem.2015.252163 |
0.58 |
|
| 2015 |
Pepe MS, Fan J, Feng Z, Gerds T, Hilden J. The Net Reclassification Index (NRI): a Misleading Measure of Prediction Improvement Even with Independent Test Data Sets. Statistics in Biosciences. 7: 282-295. PMID 26504496 DOI: 10.1007/S12561-014-9118-0 |
0.437 |
|
| 2015 |
Janes H, Brown MD, Pepe MS. Designing a study to evaluate the benefit of a biomarker for selecting patient treatment. Statistics in Medicine. PMID 26112650 DOI: 10.1002/Sim.6564 |
0.597 |
|
| 2015 |
Janes H, Pepe MS, McShane LM, Sargent DJ, Heagerty PJ. The Fundamental Difficulty With Evaluating the Accuracy of Biomarkers for Guiding Treatment. Journal of the National Cancer Institute. 107. PMID 26109106 DOI: 10.1093/Jnci/Djv157 |
0.599 |
|
| 2015 |
Elmore JG, Longton GM, Carney PA, Geller BM, Onega T, Tosteson AN, Nelson HD, Pepe MS, Allison KH, Schnitt SJ, O'Malley FP, Weaver DL. Diagnostic concordance among pathologists interpreting breast biopsy specimens. Jama. 313: 1122-32. PMID 25781441 DOI: 10.1001/Jama.2015.1405 |
0.31 |
|
| 2015 |
Anderson KS, Pepe M, Marks J, Engstrom P, Patriotis C, Zangar R, Skates S, Lampe P, LaBaer J, Li CI. Abstract P4-02-05: A blinded multicenter phase II study of a panel of plasma biomarkers for the detection of triple negative breast cancer Cancer Research. 75. DOI: 10.1158/1538-7445.Sabcs14-P4-02-05 |
0.336 |
|
| 2014 |
Janes H, Brown MD, Huang Y, Pepe MS. An approach to evaluating and comparing biomarkers for patient treatment selection. The International Journal of Biostatistics. 10: 99-121. PMID 24695044 DOI: 10.1515/Ijb-2012-0052 |
0.59 |
|
| 2014 |
Pepe MS, Janes H, Li CI. Net risk reclassification p values: valid or misleading? Journal of the National Cancer Institute. 106: dju041. PMID 24681599 DOI: 10.1093/Jnci/Dju041 |
0.625 |
|
| 2014 |
Vickers AJ, Pepe M. Does the net reclassification improvement help us evaluate models and markers? Annals of Internal Medicine. 160: 136-7. PMID 24592500 DOI: 10.7326/M13-2841 |
0.332 |
|
| 2014 |
Kerr KF, Wang Z, Janes H, McClelland RL, Psaty BM, Pepe MS. Net reclassification indices for evaluating risk prediction instruments: a critical review. Epidemiology (Cambridge, Mass.). 25: 114-21. PMID 24240655 DOI: 10.1097/Ede.0000000000000018 |
0.646 |
|
| 2014 |
Janes H, Pepe MS, Huang Y. A framework for evaluating markers used to select patient treatment. Medical Decision Making : An International Journal of the Society For Medical Decision Making. 34: 159-67. PMID 23811760 DOI: 10.1177/0272989X13493147 |
0.604 |
|
| 2014 |
Buas MF, Zhang Y, Rho J, Pepe M, Lampe P, Li C. Abstract 866: Identification of novel early detection candidate protein biomarkers for ER+/PR+ invasive ductal breast carcinoma using pre-clinical plasma from the Women's Health Initiative Observational Study Cancer Research. 74: 866-866. DOI: 10.1158/1538-7445.Am2014-866 |
0.34 |
|
| 2013 |
Huang Y, Pepe MS, Feng Z. LOGISTIC REGRESSION ANALYSIS WITH STANDARDIZED MARKERS. The Annals of Applied Statistics. 7. PMID 24204441 DOI: 10.1214/13-AOAS634SUPP |
0.354 |
|
| 2013 |
Zheng Y, Cai T, Pepe MS. Adopting nested case-control quota sampling designs for the evaluation of risk markers. Lifetime Data Analysis. 19: 568-88. PMID 23807695 DOI: 10.1007/S10985-013-9270-8 |
0.409 |
|
| 2013 |
Pepe MS, Fan J, Seymour CW. Estimating the receiver operating characteristic curve in studies that match controls to cases on covariates. Academic Radiology. 20: 863-73. PMID 23601953 DOI: 10.1016/J.Acra.2013.03.004 |
0.378 |
|
| 2013 |
Seymour CW, Cooke CR, Wang Z, Kerr KF, Yealy DM, Angus DC, Rea TD, Kahn JM, Pepe MS. Improving risk classification of critical illness with biomarkers: a simulation study. Journal of Critical Care. 28: 541-8. PMID 23566734 DOI: 10.1016/J.Jcrc.2012.12.001 |
0.387 |
|
| 2013 |
Janes H, Pepe M. Re: "Clinical usefulness of the Framingham cardiovascular risk profile beyond its statistical performance: the Tehran Lipid and Glucose Study". American Journal of Epidemiology. 177: 864-5. PMID 23524037 DOI: 10.1093/Aje/Kwt043 |
0.577 |
|
| 2013 |
Oster NV, Carney PA, Allison KH, Weaver DL, Reisch LM, Longton G, Onega T, Pepe M, Geller BM, Nelson HD, Ross TR, Tosteson AN, Elmore JG. Development of a diagnostic test set to assess agreement in breast pathology: practical application of the Guidelines for Reporting Reliability and Agreement Studies (GRRAS). Bmc Women's Health. 13: 3. PMID 23379630 DOI: 10.1186/1472-6874-13-3 |
0.339 |
|
| 2013 |
Bansal A, Pepe MS. Estimating improvement in prediction with matched case-control designs. Lifetime Data Analysis. 19: 170-201. PMID 23358916 DOI: 10.1007/S10985-012-9237-1 |
0.597 |
|
| 2013 |
Bansal A, Pepe MS. When does combining markers improve classification performance and what are implications for practice? Statistics in Medicine. 32: 1877-92. PMID 23348801 DOI: 10.1002/Sim.5736 |
0.561 |
|
| 2013 |
Pepe MS, Kerr KF, Longton G, Wang Z. Testing for improvement in prediction model performance. Statistics in Medicine. 32: 1467-82. PMID 23296397 DOI: 10.1002/Sim.5727 |
0.424 |
|
| 2013 |
Huang Y, Pepe MS, Feng Z. Logistic regression analysis with standardized markers The Annals of Applied Statistics. 7: 1640-1662. DOI: 10.1214/13-Aoas634 |
0.458 |
|
| 2013 |
Pepe M, Janes H. Methods for evaluating prediction performance of biomarkers and tests Lecture Notes in Statistics. 215: 107-142. DOI: 10.1007/978-1-4614-8981-8_7 |
0.567 |
|
| 2012 |
Kerr KF, Bansal A, Pepe MS. Further insight into the incremental value of new markers: the interpretation of performance measures and the importance of clinical context. American Journal of Epidemiology. 176: 482-7. PMID 22875756 DOI: 10.1093/Aje/Kws210 |
0.537 |
|
| 2012 |
Pepe MS, Fan J, Seymour CW, Li C, Huang Y, Feng Z. Biases introduced by choosing controls to match risk factors of cases in biomarker research. Clinical Chemistry. 58: 1242-51. PMID 22730452 DOI: 10.1373/Clinchem.2012.186007 |
0.377 |
|
| 2012 |
Koopmeiners JS, Feng Z, Pepe MS. Conditional estimation after a two-stage diagnostic biomarker study that allows early termination for futility. Statistics in Medicine. 31: 420-35. PMID 22238117 DOI: 10.1002/Sim.4430 |
0.377 |
|
| 2011 |
Kerr KF, Pepe MS. Joint modeling, covariate adjustment, and interaction: contrasting notions in risk prediction models and risk prediction performance. Epidemiology (Cambridge, Mass.). 22: 805-12. PMID 21968770 DOI: 10.1097/Ede.0B013E31823035Fb |
0.41 |
|
| 2011 |
Pepe MS, Feng Z. Improving biomarker identification with better designs and reporting. Clinical Chemistry. 57: 1093-5. PMID 21666069 DOI: 10.1373/Clinchem.2011.164657 |
0.327 |
|
| 2011 |
Pepe MS, Janes H. Commentary: Reporting standards are needed for evaluations of risk reclassification. International Journal of Epidemiology. 40: 1106-8. PMID 21571811 DOI: 10.1093/Ije/Dyr083 |
0.603 |
|
| 2011 |
Pepe MS. Problems with risk reclassification methods for evaluating prediction models. American Journal of Epidemiology. 173: 1327-35. PMID 21555714 DOI: 10.1093/Aje/Kwr013 |
0.418 |
|
| 2011 |
Janes H, Pepe MS, Bossuyt PM, Barlow WE. Measuring the performance of markers for guiding treatment decisions. Annals of Internal Medicine. 154: 253-9. PMID 21320940 DOI: 10.7326/0003-4819-154-4-201102150-00006 |
0.577 |
|
| 2011 |
Gu W, Pepe MS. Estimating the diagnostic likelihood ratio of a continuous marker. Biostatistics (Oxford, England). 12: 87-101. PMID 20639522 DOI: 10.1093/Biostatistics/Kxq045 |
0.588 |
|
| 2010 |
Huang Y, Pepe MS. Assessing risk prediction models in case-control studies using semiparametric and nonparametric methods Statistics in Medicine. 29: 1391-1410. PMID 20527013 DOI: 10.1002/Sim.3876 |
0.441 |
|
| 2010 |
Pepe MS, Gu JW, Morris DE. The potential of genes and other markers to inform about risk. Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association For Cancer Research, Cosponsored by the American Society of Preventive Oncology. 19: 655-65. PMID 20160267 DOI: 10.1158/1055-9965.Epi-09-0510 |
0.395 |
|
| 2010 |
Morris DE, Pepe MS, Barlow WE. Contrasting two frameworks for ROC analysis of ordinal ratings. Medical Decision Making : An International Journal of the Society For Medical Decision Making. 30: 484-98. PMID 20147599 DOI: 10.1177/0272989X09357477 |
0.39 |
|
| 2010 |
Pepe M. Rejoinder to Nancy Cook's Comment on "Measures to Summarize and Compare the Predictive Capacity of Markers" The International Journal of Biostatistics. 6. DOI: 10.2202/1557-4679.1280 |
0.307 |
|
| 2010 |
Huang Y, Pepe MS. Semiparametric methods for evaluating the covariate-specific predictiveness of continuous markers in matched case-control studies Journal of the Royal Statistical Society. Series C: Applied Statistics. 59: 437-456. DOI: 10.1111/J.1467-9876.2009.00707.X |
0.442 |
|
| 2009 |
Huang Y, Pepe MS. Semiparametric methods for evaluating risk prediction markers in case-control studies. Biometrika. 96: 991-997. PMID 22822247 DOI: 10.1093/biomet/asp040 |
0.313 |
|
| 2009 |
Janes H, Pepe MS. Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve. Biometrika. 96: 371-382. PMID 22822245 DOI: 10.1093/Biomet/Asp002 |
0.616 |
|
| 2009 |
Gu W, Pepe M. Measures to summarize and compare the predictive capacity of markers. The International Journal of Biostatistics. 5: Article 27. PMID 20224632 DOI: 10.2202/1557-4679.1188 |
0.564 |
|
| 2009 |
Pepe M, Longton G, Janes H. Estimation and Comparison of Receiver Operating Characteristic Curves. The Stata Journal. 9: 1. PMID 20161343 DOI: 10.1177/1536867X0900900101 |
0.606 |
|
| 2009 |
Shaw PA, Pepe MS, Alonzo TA, Etzioni R. Methods for Assessing Improvement in Specificity when a Biomarker is Combined with a Standard Screening Test. Statistics in Biopharmaceutical Research. 1: 18-25. PMID 20054437 DOI: 10.1198/Sbr.2009.0002 |
0.564 |
|
| 2009 |
Janes H, Longton G, Pepe M. Accommodating Covariates in ROC Analysis. The Stata Journal. 9: 17-39. PMID 20046933 |
0.574 |
|
| 2009 |
Huang Y, Pepe MS. A parametric ROC model-based approach for evaluating the predictiveness of continuous markers in case-control studies Biometrics. 65: 1133-1144. PMID 19459841 DOI: 10.1111/J.1541-0420.2009.01201.X |
0.431 |
|
| 2009 |
Pepe MS, Feng Z, Longton G, Koopmeiners J. Conditional estimation of sensitivity and specificity from a phase 2 biomarker study allowing early termination for futility. Statistics in Medicine. 28: 762-79. PMID 19097251 DOI: 10.1002/Sim.3506 |
0.352 |
|
| 2009 |
Huang Y, Pepe MS. Biomarker evaluation and comparison using the controls as a reference population Biostatistics. 10: 228-244. PMID 18755739 DOI: 10.1093/Biostatistics/Kxn029 |
0.419 |
|
| 2009 |
Gu W, Pepe MS. Estimating the capacity for improvement in risk prediction with a marker. Biostatistics (Oxford, England). 10: 172-86. PMID 18714084 DOI: 10.1093/Biostatistics/Kxn025 |
0.546 |
|
| 2009 |
Janes H, Longton G, Pepe MS. Accommodating covariates in receiver operating characteristic analysis Stata Journal. 9: 17-39. DOI: 10.1177/1536867X0900900102 |
0.614 |
|
| 2009 |
Huang Y, Pepe MS. Semiparametric methods for evaluating risk prediction markers in case-control studies Biometrika. 96: 991-997. DOI: 10.1093/Biomet/Asp040 |
0.425 |
|
| 2009 |
Janes H, Pepe MS, Gu W. In response Annals of Internal Medicine. 150: 428. |
0.409 |
|
| 2008 |
Zheng Y, Cai T, Pepe MS, Levy WC. Time-dependent Predictive Values of Prognostic Biomarkers with Failure Time Outcome. Journal of the American Statistical Association. 103: 362-368. PMID 19655041 DOI: 10.1198/016214507000001481 |
0.412 |
|
| 2008 |
Janes H, Pepe MS, Gu W. Assessing the value of risk predictions by using risk stratification tables. Annals of Internal Medicine. 149: 751-60. PMID 19017593 DOI: 10.7326/0003-4819-149-10-200811180-00009 |
0.672 |
|
| 2008 |
Pepe MS, Feng Z, Janes H, Bossuyt PM, Potter JD. Pivotal evaluation of the accuracy of a biomarker used for classification or prediction: standards for study design. Journal of the National Cancer Institute. 100: 1432-8. PMID 18840817 DOI: 10.1093/Jnci/Djn326 |
0.611 |
|
| 2008 |
Pepe MS, Janes HE. Gauging the performance of SNPs, biomarkers, and clinical factors for predicting risk of breast cancer. Journal of the National Cancer Institute. 100: 978-9. PMID 18612128 DOI: 10.1093/Jnci/Djn215 |
0.598 |
|
| 2008 |
Janes H, Pepe MS. Adjusting for covariates in studies of diagnostic, screening, or prognostic markers: an old concept in a new setting. American Journal of Epidemiology. 168: 89-97. PMID 18477651 DOI: 10.1093/Aje/Kwn099 |
0.605 |
|
| 2008 |
Pepe MS, Zheng Y, Jin Y, Huang Y, Parikh CR, Levy WC. Evaluating the ROC performance of markers for future events. Lifetime Data Analysis. 14: 86-113. PMID 18064569 DOI: 10.1007/S10985-007-9073-X |
0.617 |
|
| 2008 |
Pepe MS, Feng Z, Huang Y, Longton G, Prentice R, Thompson IM, Zheng Y. Integrating the predictiveness of a marker with its performance as a classifier. American Journal of Epidemiology. 167: 362-8. PMID 17982157 DOI: 10.1093/Aje/Kwm305 |
0.446 |
|
| 2008 |
Janes H, Pepe MS. Matching in studies of classification accuracy: implications for analysis, efficiency, and assessment of incremental value. Biometrics. 64: 1-9. PMID 17501939 DOI: 10.1111/J.1541-0420.2007.00823.X |
0.605 |
|
| 2007 |
Alonzo TA, Pepe MS. Development and evaluation of classifiers. Methods in Molecular Biology (Clifton, N.J.). 404: 89-116. PMID 18450047 DOI: 10.1007/978-1-59745-530-5_6 |
0.579 |
|
| 2007 |
Pepe MS, Janes H, Gu JW. Letter by Pepe et al regarding article, "Use and misuse of the receiver operating characteristic curve in risk prediction". Circulation. 116: e132; author reply e. PMID 17679623 DOI: 10.1161/Circulationaha.107.709253 |
0.598 |
|
| 2007 |
Huang Y, Pepe MS, Feng Z. Evaluating the Predictiveness of a Continuous Marker Biometrics. 63: 1181-1188. PMID 17489968 DOI: 10.1111/J.1541-0420.2007.00814.X |
0.397 |
|
| 2007 |
Pepe MS, Janes H. Insights into latent class analysis of diagnostic test performance. Biostatistics (Oxford, England). 8: 474-84. PMID 17085745 DOI: 10.1093/Biostatistics/Kxl038 |
0.604 |
|
| 2006 |
Moskowitz CS, Pepe MS. Comparing the predictive values of diagnostic tests: sample size and analysis for paired study designs. Clinical Trials (London, England). 3: 272-9. PMID 16895044 DOI: 10.1191/1740774506Cn147Oa |
0.563 |
|
| 2006 |
Pepe MS, Cai T, Longton G. Combining predictors for classification using the area under the receiver operating characteristic curve. Biometrics. 62: 221-9. PMID 16542249 DOI: 10.1111/J.1541-0420.2005.00420.X |
0.443 |
|
| 2006 |
Janes H, Pepe M. The optimal ratio of cases to controls for estimating the classification accuracy of a biomarker. Biostatistics (Oxford, England). 7: 456-68. PMID 16428259 DOI: 10.1093/Biostatistics/Kxj018 |
0.584 |
|
| 2006 |
Brumback LC, Pepe MS, Alonzo TA. Using the ROC curve for gauging treatment effect in clinical trials. Statistics in Medicine. 25: 575-90. PMID 16220481 DOI: 10.1002/Sim.2345 |
0.53 |
|
| 2006 |
Cai T, Pepe MS, Zheng Y, Lumley T, Jenny NS. The sensitivity and specificity of markers for event times. Biostatistics (Oxford, England). 7: 182-97. PMID 16079162 DOI: 10.1093/Biostatistics/Kxi047 |
0.437 |
|
| 2005 |
Pepe MS. Evaluating technologies for classification and prediction in medicine Statistics in Medicine. 24: 3687-3696. PMID 16320261 DOI: 10.1002/Sim.2431 |
0.407 |
|
| 2005 |
Pepe MS, Longton G. Standardizing diagnostic markers to evaluate and compare their performance Epidemiology. 16: 598-603. PMID 16135934 DOI: 10.1097/01.Ede.0000173041.03470.8B |
0.387 |
|
| 2005 |
Schulmann K, Sterian A, Berki A, Yin J, Sato F, Xu Y, Olaru A, Wang S, Mori Y, Deacu E, Hamilton J, Kan T, Krasna MJ, Beer DG, Pepe MS, et al. Inactivation of p16, RUNX3, and HPP1 occurs early in Barrett's-associated neoplastic progression and predicts progression risk. Oncogene. 24: 4138-48. PMID 15824739 DOI: 10.1038/Sj.Onc.1208598 |
0.325 |
|
| 2005 |
Janes H, Pepe M, Kooperberg C, Newcomb P. Identifying target populations for screening or not screening using logic regression. Statistics in Medicine. 24: 1321-38. PMID 15568185 DOI: 10.1002/Sim.2021 |
0.599 |
|
| 2005 |
Alonzo TA, Pepe MS. Assessing accuracy of a continuous screening test in the presence of verification bias Journal of the Royal Statistical Society. Series C: Applied Statistics. 54: 173-190. DOI: 10.1111/J.1467-9876.2005.00477.X |
0.561 |
|
| 2004 |
Song X, Pepe MS. Evaluating markers for selecting a patient's treatment Biometrics. 60: 874-883. PMID 15606407 DOI: 10.1111/J.0006-341X.2004.00242.X |
0.373 |
|
| 2004 |
Pepe MS, Cai T. The analysis of placement values for evaluating discriminatory measures Biometrics. 60: 528-535. PMID 15180681 DOI: 10.1111/J.0006-341X.2004.00200.X |
0.405 |
|
| 2004 |
Moskowitz CS, Pepe MS. Quantifying and comparing the accuracy of binary biomarkers when predicting a failure time outcome. Statistics in Medicine. 23: 1555-70. PMID 15122736 DOI: 10.1002/Sim.1747 |
0.577 |
|
| 2004 |
Pepe MS, Janes H, Longton G, Leisenring W, Newcomb P. Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. American Journal of Epidemiology. 159: 882-90. PMID 15105181 DOI: 10.1093/Aje/Kwh101 |
0.608 |
|
| 2004 |
Moskowitz CS, Pepe MS. Quantifying and comparing the predictive accuracy of continuous prognostic factors for binary outcomes. Biostatistics (Oxford, England). 5: 113-27. PMID 14744831 DOI: 10.1093/Biostatistics/5.1.113 |
0.536 |
|
| 2003 |
Dodd LE, Pepe MS. Partial AUC estimation and regression. Biometrics. 59: 614-23. PMID 14601762 DOI: 10.1111/1541-0420.00071 |
0.645 |
|
| 2003 |
Etzioni R, Kooperberg C, Pepe M, Smith R, Gann PH. Combining biomarkers to detect disease with application to prostate cancer Biostatistics (Oxford, England). 4: 523-538. PMID 14557109 DOI: 10.1093/Biostatistics/4.4.523 |
0.384 |
|
| 2003 |
Alonzo TA, Pepe MS, Lumley T. Estimating disease prevalence in two-phase studies. Biostatistics (Oxford, England). 4: 313-26. PMID 12925524 DOI: 10.1093/Biostatistics/4.2.313 |
0.508 |
|
| 2003 |
Pepe MS, Longton G, Anderson GL, Schummer M. Selecting differentially expressed genes from microarray experiments Biometrics. 59: 133-142. PMID 12762450 DOI: 10.1111/1541-0420.00016 |
0.304 |
|
| 2003 |
Dodd LE, Pepe MS. Semiparametric regression for the area under the receiver operating characteristic curve Journal of the American Statistical Association. 98: 409-417. DOI: 10.1198/016214503000198 |
0.638 |
|
| 2002 |
Alonzo TA, Pepe MS. Distribution-free ROC analysis using binary regression techniques. Biostatistics (Oxford, England). 3: 421-32. PMID 12933607 DOI: 10.1093/Biostatistics/3.3.421 |
0.576 |
|
| 2002 |
McIntosh MW, Pepe MS. Combining several screening tests: Optimality of the risk score Biometrics. 58: 657-664. PMID 12230001 DOI: 10.1111/J.0006-341X.2002.00657.X |
0.426 |
|
| 2002 |
Alonzo TA, Pepe MS, Moskowitz CS. Sample size calculations for comparative studies of medical tests for detecting presence of disease. Statistics in Medicine. 21: 835-52. PMID 11870820 DOI: 10.1002/Sim.1058 |
0.656 |
|
| 2002 |
Cai T, Pepe MS. Semiparametric receiver operating characteristic analysis to evaluate biomarkers for disease Journal of the American Statistical Association. 97: 1099-1107. DOI: 10.1198/016214502388618915 |
0.415 |
|
| 2001 |
Pepe MS, Alonzo TA. Comparing disease screening tests when true disease status is ascertained only for screen positives. Biostatistics (Oxford, England). 2: 249-60. PMID 12933537 DOI: 10.1093/Biostatistics/2.3.249 |
0.534 |
|
| 2001 |
Hadgu A, Miller W, Pepe MS, Alonzo TA. Using a combination of reference tests to assess the accuracy of a diagnostic test (multiple letters) Statistics in Medicine. 20: 656-660. PMID 11223907 DOI: 10.1002/Sim.762 |
0.443 |
|
| 2000 |
Pepe MS, Thompson ML. Combining diagnostic test results to increase accuracy. Biostatistics (Oxford, England). 1: 123-40. PMID 12933515 DOI: 10.1093/Biostatistics/1.2.123 |
0.41 |
|
| 2000 |
Nelson JC, Pepe MS. Statistical description of interrater variability in ordinal ratings. Statistical Methods in Medical Research. 9: 475-96. PMID 11191261 DOI: 10.1177/096228020000900505 |
0.351 |
|
| 2000 |
Pepe MS. An interpretation for the ROC curve and inference using GLM procedures Biometrics. 56: 352-359. PMID 10877289 DOI: 10.1111/J.0006-341X.2000.00352.X |
0.434 |
|
| 2000 |
Leisenring W, Alonzo T, Pepe MS. Comparisons of predictive values of binary medical diagnostic tests for paired designs Biometrics. 56: 345-351. PMID 10877288 DOI: 10.1111/J.0006-341X.2000.00345.X |
0.567 |
|
| 2000 |
Heagerty PJ, Lumley T, Pepe MS. Time-dependent ROC curves for censored survival data and a diagnostic marker Biometrics. 56: 337-344. PMID 10877287 DOI: 10.1111/J.0006-341X.2000.00337.X |
0.332 |
|
| 2000 |
Wang CY, Pepe MS. Expected estimating equations to accommodate covariate measurement error Journal of the Royal Statistical Society. Series B: Statistical Methodology. 62: 509-524. DOI: 10.1111/1467-9868.00247 |
0.328 |
|
| 1999 |
Pepe MS, Heagerty P, Whitaker R. Prediction using partly conditional time-varying coefficients regression models Biometrics. 55: 944-950. PMID 11315033 DOI: 10.1111/J.0006-341X.1999.00944.X |
0.432 |
|
| 1999 |
Alonzo TA, Pepe MS. Using a combination of reference tests to assess the accuracy of a new diagnostic test. Statistics in Medicine. 18: 2987-3003. PMID 10544302 DOI: 10.1002/(Sici)1097-0258(19991130)18:22<2987::Aid-Sim205>3.0.Co;2-B |
0.551 |
|
| 1999 |
Etzioni R, Pepe M, Longton G, Hu C, Goodman G. Incorporating the time dimension in receiver operating characteristic curves: A case study of prostate cancer Medical Decision Making. 19: 242-251. PMID 10424831 DOI: 10.1177/0272989X9901900303 |
0.365 |
|
| 1999 |
Pepe MS, Whitaker RC, Seidel K. Estimating and comparing univariate associations with application to the prediction of adult obesity Statistics in Medicine. 18: 163-173. PMID 10028137 DOI: 10.1002/(Sici)1097-0258(19990130)18:2<163::Aid-Sim11>3.0.Co;2-F |
0.362 |
|
| 1999 |
Heagerty PJ, Pepe MS. Semiparametric estimation of regression quantiles with application to standardizing weight for height and age in US children Journal of the Royal Statistical Society. Series C: Applied Statistics. 48: 533-551. DOI: 10.1111/1467-9876.00170 |
0.314 |
|
| 1998 |
Leisenring W, Pepe MS. Regression modelling of diagnostic likelihood ratios for the evaluation of medical diagnostic tests Biometrics. 54: 444-452. PMID 9629638 DOI: 10.2307/3109754 |
0.438 |
|
| 1998 |
Pepe MS. Three approaches to regression analysis of receiver operating characteristic curves for continuous test results Biometrics. 54: 124-135. PMID 9544511 DOI: 10.2307/2534001 |
0.422 |
|
| 1997 |
Pepe MS, Urban N, Rutter C, Longton G. Design of a study to improve accuracy in reading mammograms Journal of Clinical Epidemiology. 50: 1327-1338. PMID 9449936 DOI: 10.1016/S0895-4356(97)00204-7 |
0.376 |
|
| 1997 |
Couper D, Pepe MS. Modelling prevalence of a condition: Chronic graft-versus-host disease after bone marrow transplantation Statistics in Medicine. 16: 1551-1571. PMID 9257412 DOI: 10.1002/(Sici)1097-0258(19970730)16:14<1551::Aid-Sim577>3.0.Co;2-T |
0.319 |
|
| 1997 |
Leisenring W, Pepe MS, Longton G. A marginal regression modelling framework for evaluating medical diagnostic tests Statistics in Medicine. 16: 1263-1281. PMID 9194271 DOI: 10.1002/(Sici)1097-0258(19970615)16:11<1263::Aid-Sim550>3.0.Co;2-M |
0.411 |
|
| 1997 |
Reilly M, Pepe M. The relationship between hot-deck multiple imputation and weighted likelihood. Statistics in Medicine. 16: 5-19. PMID 9004380 DOI: 10.1002/(Sici)1097-0258(19970115)16:1<5::Aid-Sim469>3.0.Co;2-8 |
0.37 |
|
| 1997 |
Pepe MS. A regression modelling framework for receiver operating characteristic curves in medical diagnostic testing Biometrika. 84: 595-608. DOI: 10.1093/Biomet/84.3.595 |
0.405 |
|
| 1997 |
Pepe MS, Couper D. Modeling Partly Conditional Means with Longitudinal Data Journal of the American Statistical Association. 92: 991-998. DOI: 10.1080/01621459.1997.10474054 |
0.322 |
|
| 1995 |
Reilly M, Pepe MS. A mean score method for missing and auxiliary covariate data in regression models Biometrika. 82: 299-314. DOI: 10.1093/Biomet/82.2.299 |
0.383 |
|
| 1995 |
Zhou H, Pepe MS. Auxiliary covariate data in failure time regression Biometrika. 82: 139-149. DOI: 10.1093/Biomet/82.1.139 |
0.384 |
|
| 1994 |
Fleming TR, Prentice RL, Pepe MS, Glidden D. Surrogate and auxiliary endpoints in clinical trials, with potential applications in cancer and AIDS research Statistics in Medicine. 13: 955-968. PMID 8047747 DOI: 10.1002/Sim.4780130906 |
0.357 |
|
| 1994 |
Etzioni R, Pepe MS. Monitoring of a pilot toxicity study with two adverse outcomes Statistics in Medicine. 13: 2311-2321. PMID 7855465 DOI: 10.1002/Sim.4780132203 |
0.31 |
|
| 1994 |
Pepe MS, Reilly M, Fleming TR. Auxiliary outcome data and the mean score method Journal of Statistical Planning and Inference. 42: 137-160. DOI: 10.1016/0378-3758(94)90194-5 |
0.365 |
|
| 1993 |
Pepe MS, Mori M. Kaplan-Meier, marginal or conditional probability curves in summarizing competing risks failure time data? Statistics in Medicine. 12: 737-751. PMID 8516591 DOI: 10.1002/Sim.4780120803 |
0.361 |
|
| 1993 |
Pepe MS, Cai J. Some graphical displays and marginal regression analyses for recurrent failure times and time dependent covariates Journal of the American Statistical Association. 88: 811-820. DOI: 10.1080/01621459.1993.10476346 |
0.321 |
|
| 1992 |
Pepe MS. Inference using surrogate outcome data and a validation sample Biometrika. 79: 355-365. DOI: 10.1093/Biomet/79.2.355 |
0.327 |
|
| 1991 |
Pepe MS, Longton G, Thornquist M. A qualifier Q for the survival function to describe the prevalence of a transient condition Statistics in Medicine. 10: 413-421. PMID 2028125 DOI: 10.1002/Sim.4780100313 |
0.308 |
|
| 1991 |
Pepe MS, Fleming TR. Weighted Kaplan‐Meier Statistics: Large Sample and Optimality Considerations Journal of the Royal Statistical Society Series B-Methodological. 53: 341-352. DOI: 10.1111/J.2517-6161.1991.Tb01827.X |
0.318 |
|
| 1991 |
Pepe MS. Inference for events with dependent risks in multiple endpoint studies Journal of the American Statistical Association. 86: 770-778. DOI: 10.1080/01621459.1991.10475108 |
0.358 |
|
| 1991 |
Pepe MS, Fleming TR. A nonparametric method for dealing with mismeasured covariate data Journal of the American Statistical Association. 86: 108-113. DOI: 10.1080/01621459.1991.10475009 |
0.361 |
|
| 1990 |
O'Quigley J, Pepe M, Fisher L. Continual reassessment method: a practical design for phase 1 clinical trials in cancer. Biometrics. 46: 33-48. DOI: 10.2307/2531628 |
0.321 |
|
| 1989 |
Pepe MS, Self SG, Prentice RL. Further results on covariate measurement errors in cohort studies with time to response data Statistics in Medicine. 8: 1167-1178. PMID 2799136 DOI: 10.1002/Sim.4780080918 |
0.367 |
|
| 1989 |
Pepe MS, Fleming TR. Weighted Kaplan-Meier Statistics: A Class of Distance Tests for Censored Survival Data Biometrics. 45: 497. DOI: 10.2307/2531492 |
0.31 |
|
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