Datasets

Published datasets are available here. Users may practice implementation of statistical techniques on them. We seek contributions of datasets to add to this resource.

Study Reference Stata File ASCII File
CASS Leisenring et al. (2000) 
Weiner et al. (1979)
est1.dta est1.csv 
est1_desc.txt
Pancreatic Ca biomarkers Wieand et al. (1989) wiedat2b.dta wiedat2b.csv 
wiedat2b_desc.txt
Ultrasound for hepatic mets Tosteson and Begg (1988) tostbegg2.dta tostbegg2.csv 
tostbegg2_desc.txt
CARET PSA Etzioni et al. (1999) psa2b.dta psa2b.csv 
psa2b_desc.txt
Gene expression array Pepe et al. (2003) orchratio2.dta orchratio2.csv 
orchratio2_desc.txt
Norton neonatal audiology Norton et al. (2000) nnhs2.dta nnhs2.csv 
nnhs2_desc.txt
Leisenring neonatal audiology Leisenring et al. (1997) lplaudio_b.dta lplaudio_b.csv 
lplaudio_b_desc.txt
Prostate Ca - St. Louis Smith et al. (1997) psa_dre_v2.dta psa_dre_v2.csv 
psa_dre_desc_v2_.txt
Stover audiology Stover et al. (1996) dp2.dta dp2.csv 
dp2_desc.txt
Scintigraphy study Muller et al. (1989) mlt1.dta mlt1.csv 
mlt1_desc.txt
59 Pap screen studies Fahey et al. (1995) fim.dta fim.csv 
fim_desc.txt
Prenatal screen data (hypothetical)   hpns.dta hpns.csv 
hpns_desc.txt
Ovarian Ca markers (hypothetical)   ocdata_b.dta ocdata_b.csv 
ocdata_b_desc.txt
Covariate adjustment datasets Janes et al (2009) Figure 1, scenario 1 
Figure 1, scenario 2
.csv file and .txt file
.csv file and .txt file
ROC regression dataset Janes et al (2009) Figure 4 .csv file and .txt file
Simulated AKI data Pepe et al (20072008) aki_sim.dta aki_sim.csv file 
aki_sim_desc.txt file
Two frameworks for ordinal ratings Morris et al (2010) two_marker_sim.dta two_marker_sim.csv file 
two_marker_sim_desc.txt file
Multiple Gene Risk Prediction Pepe, Gu, Morris (2010) modelA.dta 
modelB.dta
modelA.csv 
modelB.csv
Simulated Risk Reclassification dataset Pepe (2011) risk_reclass_b.dta risk_reclass_b.csv
risk_reclass_b_desc.txt

Stata format data files can be read with versions 8 and above.
Comma-separated ASCII (csv) files include variable names on the first row.


Dataset References

Etzioni R, Pepe M, Longton G, Hu C, Goodman G (1999). Incorporating the time dimension in receiver operating characteristic curves: A case study of prostate cancerMedical Decision Making 19:242-51.

Fahey MT, Irwig LM, Macaskill P (1995). Meta-analysis of Pap test accuracyAmerican Journal of Epidemiology 141:680-9.

Janes H, Longton G, Pepe MS (2009). Accommodating Covariates in ROC AnalysisStata Journal 9(1):17-39.

Leisenring W, Alonzo T, Pepe MS (2000). Comparisons of predictive values of binary medical diagnostic tests for paired designsBiometrics 56:345-51.

Leisenring W, Pepe MS, Longton G (1997). A marginal regression modelling framework for evaluating medical diagnostic testsStatistics in Medicine16:1263-81.

Morris DE, Pepe MS, Barlow WE (2010). Contrasting two frameworks for ROC analysis of ordinal ratingsMedical Decision Making (in press).

Muller C, Wasserman HJ, Erlank P, Klopper JF, Morkel HR, Ellmann A (1989). Optimisation of density and contrast yielded by multiformat photographic images used for scintigraphyPhysics in Medicine and Biology 34:473-81.

Norton SJ, Gorga MP, Widen JE, Folsom RC, Sininger Y, Cone-Wesson B, Vohr BR, Mascher K, Fletcher K. (2000). 

Identification of neonatal hearing impairment: Evaluation of transient evoked ototacoustic emission, distortion product otoacoustic emission, and auditory brain stem response test performanceEar and Hearing 21:508-28.

Pepe MS (2011). Problems with Risk Reclassification Methods for Evaluating Prediction ModelsAmerican Journal of Epidemiology 173:1327-1335.

Pepe MS (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction (Oxford Statistical Science Series). Oxford University Press.

Pepe MS, Gu W, Morris DE (2010). The Potential of Genes and Other Markers to Inform about RiskCancer Epidemiology, Biomarkers and Prevention19(3):655-665.

Pepe MS, Longton G, Anderson G, Schummer M (2003). Selecting differentially expressed genes from microarray experimentsBiometrics 59:133-42.

Pepe MS, Longton G, Janes H (2007). Estimation and Comparison of Receiver Operating Characteristic CurvesStata Journal 9(1):1.

Pepe M, Zheng Y, Jin Y., Huang Y, Parikh C, Levy W. (2008) Evaluating the ROC performance of markers for future events. eventsLifetime Data Analysis14(1):86-113.

Smith DS, Bullock AD, Catalona WJ (1997). Racial differences in operating characteristics of prostate cancer screening testsThe Journal of Urology158:1861-66.

Stover L, Gorga MP, Neely T (1996). Torwards optimizing the clinical utility of distortion product otoacoustic emission measurementsJournal of the Acoustical Society of America 100:956-967.

Tosteson AN, Begg CB (1988). A general regression methodology for ROC curve estimationMedical Decision Making 8:204-15.

Weiner DA, Ryan TJ, McCabe CH, Kennedy JW, Schloss M, Tristani F, Chaitman BR, Fisher LD (1979). Exercise stress testing. Correlations among history of angina, ST-segment response and prevalence of coronary-artery disease in the Coronary Artery Aurgery Study (CASS)New England Journal of Medicine 301(5):230-5.

Wieand S, Gail MH, James BR, James KL (1989). A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired dataBiometrika 76:585-92.