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Prostate

Prostate Cancer DREAM Challenge data sets

Unique Dataset IDProstat_na_2006_149ClinicalTrial.gov IDPROSTATE-DREAM_CURATION
DownloadableYes
SponsorResearcher CuratedData ProviderResearcher CuratedTotal Study Enrolled Patients2070Comparator (Control) Arm Enrolled Patients2070RandomizationYes
Study PhaseClinical Study Phase IIIBlinding MethodOtherType(s) of dataOnly comparator arm dataIntervention TypeOtherDataset TypeADS

Clinical Trial Title

Prostate Cancer DREAM Challenge data sets

Trial Summary and Conditions

This Prostate Cancer DREAM Challenge data includes the curated training dataset as well as two validation datasets. All source data is hosted on ProjectDataSphere.org and available study documentation (e.g. case report form, protocol, etc.) may be viewed by visiting the links below.

The training dataset was curated from three different data sets:
(1) VENICE: https://projectdatasphere.org/projectdatasphere/html/content/83
(2) ASCENT2: https://projectdatasphere.org/projectdatasphere/html/content/89
(3) MAINSAIL/CELGENE: https://projectdatasphere.org/projectdatasphere/html/content/90

The validation datasets - named leaderboard and validation - were used for interim and final scoring, respectively. These datasets are subsets of the ENTHUSEM1C study located here: https://projectdatasphere.org/projectdatasphere/html/content/104

To learn more about the Prostate Cancer DREAM Challenge, please visit: http://dreamchallenges.org/project/project-dataspheres-prostate-cancer-challenge/

Data Summary

Refer to documentation

Study Objectives

Refer to documentation

Outcome Measures

Refer to documentation

Available Downloads:

To gain access to the data and analytic tools click here.

PROTOCOL: PCDC Protocol, CRF Location.pdf

CRF: PCDC Protocol, CRF Location.docx

DATA DICTIONARY: Challenge_data_dictionary v2.xlsx

DATA (COMPARATOR ARM): prostate_cancer_challenge_data_finalscoringset.zip

DATA (COMPARATOR ARM): prostate_cancer_challenge_data_leaderboard.zip

DATA (COMPARATOR ARM): prostate_cancer_challenge_data_training.zip