http://orcid.org/0000-0002-4792-0264
References
- Rush S. Logistic regression: the standard method of analysis in medical research. Technical Report Mathematics #S3, Trinity University; 2001.
- Hosmer D, Lemeshow S. Applied logistic regression. 2nd ed. New York: Wiley; 2000.
- Kramer AA, Zimmerman JE. Assessing the calibration of mortality benchmarks in critical care: the Hosmer–Lemeshow test revisited. Crit Care Med. 2007;35(9):2052–2056.
- Lemeshow S, Hosmer DW. A review of goodness of fit statistics for use in the development of logistic regression models. Am J Epidemiol. 1982;115:92–106.
- Hosmer DW, Hosmer TP, Le Cessie S, et al. A comparison of goodness-of-fit tests for logistic regression. Stat Med. 1997;16:965–980.
- Surgical Outcomes Monitoring & Improvement Program (SOMIP) Report, Volume Four; July 2011–June 2012.
- Lezzoni LI. Risk adjustment for measuring health outcomes. 3rd ed. Chicago: Health Admission Press; 2003.
- Allison PD. 2014. Measures of fit for logistic regression. Proceedings of the SAS Global Forum 2014. paper 1485–2014.
- Paul P, Pennell ML, Lemeshow S. Standardizing the power of the Hosmer–Lemeshow goodness-of-fit test in large data set. Stat Med. 2013;32:67–80.
- Yu W, Xu W, Zhu L. 2017. A modified Hosmer–Lemeshow test for large data sets. Commun Stat Theory Methods. doi: 10.1080/03610926.2017.1285922
- Hosmer DW, Lemeshow S. Goodness of fit tests for the multiple logistic regression model. Commun Stat Theory Methods. 1980;9:1043–1069.
- Cox DR, Reid N. Approximations to noncentral distributions. Can J Stat. 1987;15:105–114.
- Van der Vaart AW. Asymptotic statistics. Cambridge: Cambridge University Press; 1998; p. 265.
- Steiner SH, Cook RJ, Farewell VT, et al. Monitoring surgical performance using risk-adjusted cumulative sum charts. Biostatistics. 2000;1:441–452.
- Parsonnet V, Dean D, Bernstein AD. A method of uniform stratification of risks for evaluating the results of surgery in acquired adult heart disease. Circulation. 1989;779:1–12.
- Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) Research Data (1973–2007), National Cancer Institute, DCCPS, Surveillance Research Program, Surveillance Systems Branch, based on the November 2009 submission.
- Smith AW, Reeve BB, Bellizzi KM, et al. Cancer, comorbidities, and health-related quality of life of older adults. Health Care Finance Rev. 2008;29:41–56.
- Jemal A, Murray T, Ward E, et al. Cancer statistics, 2005. CA Cancer J Clin. 2005;55:10–30.
- Pienta KJ, Demers R, Hoff M, et al. Effect of age and race on the survival of men with prostate cancer in the metropolitan Detroit tricounty area: 1973 to 1987. Urology. 1995;45:93–101.
- Andren O, Fall K, Franzen L, et al. How well does the Gleason score predict prostate cancer death? A 20-year followup of a population based cohort in Sweden. J Urol. 2006;175:1337–1340.
- Gabrielle F, Roques F, Michel P, et al. Is the Parsonnet’s score a good predictive score of mortality in adult cardiac surgery? Assessment by a French multicentre study. Eur J Cardiothorac Surg. 1997;11:406–414.
- Lawrence DR, Valencia O, Smith EEJ, et al. Parsonnet score is a good predictor of the duration of intensive care unit stay following cardiac surgery. Heart. 2000;83:429–432.