Data Note
Data and programming code from the studies on the learning curve for radical prostatectomy
Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, NY, USA
BMC Research Notes 2010, 3:234 doi:10.1186/1756-0500-3-234
Published: 2 September 2010Additional 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
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
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
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
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
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
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
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
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
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
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
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


