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Data and programming code from the studies on the learning curve for radical prostatectomy

Andrew J Vickers* and Angel M Cronin

Author Affiliations

Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, NY, USA

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BMC Research Notes 2010, 3:234  doi:10.1186/1756-0500-3-234

Published: 2 September 2010

Additional files

Additional file 1:

master learning curve data set deidentified. Tumor characteristics, surgeon, and outcome for all patients on the data set in Stata format.

Format: DTA Size: 865KB Download file

Open Data

Additional file 2:

master learning curve data set deidentified. Tumor characteristics, surgeon, and outcome for all patients on the data set in text format.

Format: RAW Size: 874KB Download file

Open Data

Additional file 3:

Variable labels. Describes the variables in the data set.

Format: PDF Size: 43KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 4:

deidentify data learning curve.do. This is a Stata "do" file - statistical programming code - that takes the data set with identifying information and saves out a new data set without any identifying information.

Format: DO Size: 2KB Download file

Open Data

Additional file 5:

primary analysis bcr learning curve.do. This is a Stata "do" file - statistical programming code - that performs the primary analysis of the learning curve for biochemical recurrence[6].

Format: DO Size: 4KB Download file

Open Data

Additional file 6:

bootstrap ci for difference in 10 vs 250 bcr learning curve.do. This is a Stata "do" file - statistical programming code - that uses bootstrap resampling to construct a 95% confidence interval for the difference in adjusted 5-year probability of biochemical recurrence for a patient treated by a surgeon with 10 vs 250 prior cases[6].

Format: DO Size: 5KB Download file

Open Data

Additional file 7:

sensitivity analysis patients treated after 1995 bcr learning curve.do. This is a Stata "do" file - statistical programming code - that performs the same analysis as done in "02 primary analysis bcr learning curve.do", except that the cohort is restricted to patients treated after 1995.

Format: DO Size: 4KB Download file

Open Data

Additional file 8:

sensitivity analysis surgeons with at least 100 total cases bcr learning curve.do. This is a Stata "do" file - statistical programming code - that performs the same analysis as done in "02 primary analysis bcr learning curve.do", except that the cohort is restricted to surgeons who completed at least 100 total cases.

Format: DO Size: 4KB Download file

Open Data

Additional file 9:

separately by postoperative risk bcr learning curve.do. This is a Stata "do" file - statistical programming code - that performs the primary analysis of the learning curve for biochemical recurrence separately by pathologic stage[8].

Format: DO Size: 5KB Download file

Open Data

Additional file 10:

surgical margins learning curve.do. This is a Stata "do" file - statistical programming code - that performs the primary analysis of the learning curve for surgical margins[10].

Format: DO Size: 4KB Download file

Open Data

Additional file 11:

heterogeneity in bcr by surgeon.do. This is a Stata "do" file - statistical programming code - that performs a multivariable random-effects model to evaluate heterogeneity between surgeons in biochemical recurrence outcomes after adjustment for case-mix and surgeon experience[9].

Format: DO Size: 3KB Download file

Open Data

Additional file 12:

forest plot bcr by surgeon.do. This is a Stata "do" file - statistical programming code - that obtains the adjusted 5-year predicted probability of freedom from biochemical recurrence for each surgeon; obtains a combined estimate across all surgeons using meta-analytic methods, and shows the probabilities and 95% confidence intervals for each surgeon as a forest plot[9].

Format: DO Size: 6KB Download file

Open Data