Analyzing hospitalization data: Potential limitations of Poisson regression

Nephrology Dialysis Transplantation

Volumn 30, Issue 8, 2015, Pages 1244-1249

  Weaver, Colin G ^a   Ravani, Pietro ^a   Oliver, Matthew J ^a,b   Austin, Peter C ^c,d   Quinn, Robert R ^a  

^a UNIVERSITY OF CALGARY   (Canada)

^b SUNNYBROOK RESEARCH INSTITUTE   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

^d UNIVERSITY OF TORONTO   (Canada)

Author keywords

hospitalization; negative binomial; Poisson; zero inflated negative binomial; zero inflated Poisson

Indexed keywords

ADULT; AGED; CONTROLLED STUDY; FEMALE; FOLLOW UP; HEMODIALYSIS; HOSPITALIZATION; HUMAN; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; NEGATIVE BINOMIAL REGRESSION; PERITONEAL DIALYSIS; POISSON REGRESSION; PRIORITY JOURNAL; REGRESSION ANALYSIS; REVIEW; ZERO INFLATED NEGATIVE BINOMIAL REGRESSION; ZERO INFLATED POISSON REGRESSION; MIDDLE AGED; POISSON DISTRIBUTION; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; VERY ELDERLY; YOUNG ADULT;

ADULT; AGED; AGED, 80 AND OVER; FEMALE; HOSPITALIZATION; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; PERITONEAL DIALYSIS; POISSON DISTRIBUTION; RENAL DIALYSIS; YOUNG ADULT;

EID: 84934348863     PISSN: 09310509     EISSN: 14602385     Source Type: Journal    
DOI: 10.1093/ndt/gfv071     Document Type: Review

References (25)

1. Lee H, Manns B, Taub K et al. Cost analysis of ongoing care of patients with end-stage renal disease: the impact of dialysis modality and dialysis access. Am J Kidney Dis 2002; 40: 611-622
2. Bovbjerg RR, Diamond LH, Held PJ et al. Continuous ambulatory peritoneal dialysis: preliminary evidence in the debate over efficacy and cost. Health Aff (Millwood) 1983; 2: 96-102
3. Carlson DM, Duncan DA, Naessens JM et al. Hospitalization in dialysis patients. Mayo Clin Proc 1984; 59: 769-775
4. Gokal R, Jakubowski C, King J et al. Outcome in patients on continuous ambulatory peritoneal dialysis and haemodialysis: 4-year analysis of a prospective multicentre study. Lancet 1987; 2: 1105-1109
5. Burton PR, Walls J. A selection adjusted comparison of hospitalization on continuous ambulatory peritoneal dialysis and haemodialysis. J Clin Epidemiol 1989; 42: 531-539
6. Williams AJ, Nicholl JP, el Nahas AM et al. Continuous ambulatory peritoneal dialysis and haemodialysis in the elderly. Q J Med 1990; 74: 215-223
7. Singh S, Yium J, Macon E et al. Multicenter study of change in dialysis therapy-maintenance hemodialysis to continuous ambulatory peritoneal dialysis. Am J Kidney Dis 1992; 19: 246-251
8. Habach G, Bloembergen WE, Mauger EA et al. Hospitalization among United-States dialysis patients-hemodialysis versus peritoneal-dialysis. J Am Soc Nephrol 1995; 5: 1940-1948
9. Charytan C, Spinowitz BS, Galler M. A comparative study of continuous ambulatory peritoneal dialysis and center hemodialysis. Efficacy, complications, and outcome in the treatment of end-stage renal disease. Arch Intern Med 1986; 146: 1138-1143
10. Murphy SW, Foley RN, Barrett BJ et al. Comparative hospitalization of hemodialysis and peritoneal dialysis patients in Canada. Kidney Int 2000; 57: 2557-2563
11. Harris SA, Lamping DL, Brown EA et al. Clinical outcomes and quality of life in elderly patients on peritoneal dialysis versus hemodialysis. Perit Dial Int 2002; 22: 463-470
12. United States DoHaHS, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, US Renal Data System (USRDS). 2008 Annual Data Report. USRDS, 2008
13. Long JS, Freese J. Regression Models for Categorical Dependent Variables Using Stata, 2nd edn. College Station, TX: StataCorp LP, 2006
14. Hilbe JM. Negative Binomial Regression, 2nd edn. New York, NY: Cambridge University Press, 2011
15. Cox DR. Some remarks on overdispersion. Biometrika 1983; 70: 269-274
16. Perumean-Chaney SE, Morgan C, McDowall D, et al. Zero-inflated and overdispersed: what's one to do? J Stat Comput Simul 2013; 83: 1671-1683
17. Quinn RR, Ravani P, Zhang X et al. Impact of modality choice on rates of hospitalization in patients eligible for both peritoneal dialysis and hemodialysis. Perit Dial Int 2014; 34: 41-48
18. Lambert D. Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics 1992; 34: 1-14
19. Albert JM, Wang W, Nelson S. Estimating overall exposure effects for zero-inflated regression models with application to dental caries. Stat Methods Med Res 2011; 23: 257-278
20. Efron B, Tibshirani R. An Introduction to the Bootstrap. New York, NY: Chapman & Hall, 1993
21. Gutierrez RG, Carter S, Drukker DM. sg160: on boundary-value likelihood- ratio tests. Stat Tech Bull 2001; 60: 15-18
22. Desmarais BA, Harden JJ. Testing for zero inflation in count models: bias correction for the Vuong test. Stat J 2013; 13: 810-835
23. Vuong QH. Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica 1989; 57: 307-333
24. Vittinghoff E, Shiboski S, McCulloch CE, Glidden DV. Regression Methods in Biostatistics. New York, NY: Springer, 2005
25. Mullahy J. Specification and testing of some modified count data models. J Econom 1986; 33: 341-365