2020 – Profiling dialysis facilities for adverse recurrent events
- Description of R code example for data analysis and supplement figures S1-S3, Table S1-S2 [PDF]
- R Codes and example data [Downlaod zipped folder]
2018 – Performance Characteristics of Profiling Methods and the Impact of Inadequate Case-mix Adjustment
- Description of R code example for data analysis and supplement figures S1-S5 [PDF]
- R Codes and example data [Downlaod zipped folder]
2018 – Impact of Case-Mix Measurement Error on Estimation and Inference in Profiling of Health Care Providers
- Supplemental figures S1-S5 [PDF]
- R Codes and example data: see above
2017 – Bias and Estimation under Misspecification of the Risk Period in Self-Controlled Case Series Studies
Supplemental materials:
- Proof and table S1 [PDF]
Additional simulation studies: Patterns of bias
- Patterns of bias for models with one age group (pages 1-40):[PDF]
- Patterns of bias for models with two age group (pages 1-79):[PDF]
- Patterns of bias for models with three age group (pages 1-116):[PDF]
Complete simulation studies results:
- Simulation studies for models with one age group (pages 1-54):[PDF]
- Simulation studies for models with two age group (pages 1-54):[PDF]
- Simulation studies for models with three age group (pages 1-54):[PDF]
2014 – Weighted hurdle regression method for joint modeling of cardiovascular events likelihood and rate in the US dialysis population
Supplemental materials: R codes and instruction: [Downlaod zipped folder]