Understanding poisson regression

Journal of Nursing Education

Volumn 53, Issue 4, 2014, Pages 207-215

  Hayat, Matthew J ^a   Higgins, Melinda ^b  

^a RUTGERS UNIVERSITY   (United States)

^b EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; HUMAN; NURSING RESEARCH; POISSON DISTRIBUTION; REGRESSION ANALYSIS; STATISTICAL MODEL;

HUMANS; MODELS, STATISTICAL; NURSING RESEARCH; POISSON DISTRIBUTION; REGRESSION ANALYSIS;

EID: 84898433147     PISSN: 01484834     EISSN: None     Source Type: Journal    
DOI: 10.3928/01484834-20140325-04     Document Type: Article

References (36)

1. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716-723.
2. Bowers, L., & Crowder, M. (2012). Nursing staff numbers and their relationship to conflict and containment rates on psychiatric wards-A cross sectional time series Poisson regression study. International Journal of Nursing Studies, 49(1), 15-20.
3. Chang, Y., & Mark, B. (2011). Effects of learning climate and registered nurse staffing on medication errors. Nursing Research, 60, 32-39.
4. Charlson, M.E., Pompei, P., Ales, K.L., & MacKenzie, C.R. (1987). A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. Journal of Chronic Diseases, 40, 373-383.
5. Chen, A.C., Thompson, E.A., & Morrison-Beedy, D. (2010). Multi-system influences on adolescent risky sexual behavior. Research in Nursing and Health, 33, 512-527.
6. rd ed.). Mahwah, NJ: Lawrence Erlbaum.
7. Coxe, S., West, S.G., & Aiken, L.S. (2009). The analysis of count data: A gentle introduction to Poisson regression and its alternatives. Journal of Personality Assessment, 91, 121-136.
8. da Cruz Ede, P., Toporcov, T.N., Rotundo, L.D., Biazevic, M.G., Brasileiro, R.S., de Carvalho, M.B. Antunes, J.L. (2012). Food restrictions of patients who are undergoing treatment for oral and oropharyngeal cancer. European Journal of Oncology Nursing, 16, 253-257.
9. nd ed.). New York, NY: Oxford University Press.
10. Dunbar, S.B., Clark, P.C., Reilly, C.M., Gary, R.A., Smith, A., McCarty, F., Ryan, R. (2013). A trial of family partnership and education interventions in heart failure. Journal of Cardiac Failure, 19, 829-841.
11. Eisbach, S.S., Cluxton-Keller, F., Harrison, J., Krall, J.R., Hayat, M.J. & Gross D (2014). Characteristics of temper tantrums in preschoolers with disruptive behavior in a clinical setting. Journal of Psychosocial Nursing and Mental Health Services. Advance online publication. doi:10.3928/02793695-20140110-02
12. Hall, D.B. (2000). Zero-inflated Poisson and binomial regression with random effects: A case study. Biometrics, 56, 1030-1039.
13. Hayat, M.J., Eckardt, P., Higgins, M., Kim, M., & Schmiege, S. (2013). Teaching statistics to nursing students: An expert panel consensus. Journal of Nursing Education, 52, 330-334.
14. Hayat, M.J., & Hedlin, H. (2012). Modern statistical modeling approaches for analyzing repeated-measures data. Nursing Research, 61, 188-194.
15. Hutchinson, M.K., & Holtman, M.C. (2005). Analysis of count data using Poisson regression. Research in Nursing and Health, 28, 408-418.
16. Johnson-Masotti, A.P., Laud, P.W., Hoffmann, R.G., Hayat, M.J., & Pinkerton, S.D. (2004). A Bayesian approach to net health benefits: An illustration and application to modeling HIV prevention. Medical Decision Making, 24, 634-653.
17. Krause, M.R. (2012). Director of nursing current job tenure and past experience and quality of care in nursing homes. Health Care Management Review, 37, 98-108.
18. Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34, 1-14.
19. Li, J., Galatsch, M., Siegrist, J., Müller, B.H., Hasselhorn, H.M. & European NEXT Study Group. (2011). Reward frustration at work and intention to leave the nursing profession-Prospective results from the European longitudinal NEXT study. International Journal of Nursing Studies, 48, 628-635.
20. Manojlovich, M., Sidani, S., Covell, C.L., & Antonakos, C.L. (2011). Nurse dose: Linking staffing variables to adverse patient outcomes. Nursing Research, 60, 214-220.
21. nd ed.). London, United Kingdom: Chapman & Hall.
22. Neelon, B.H., O'Malley, A.J., & Normand, S.T. (2010). A Bayesian model for repeated measures zero-inflated count data with application to outpatient psychiatric service use. Statistical Modeling, 10, 421-439.
23. Owen, S.V., & Froman, R.D. (2005). Why carve up your continuous data? Research in Nursing and Health, 28, 496-503.
24. Raftery, A. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111-196.
25. Ratner, P.A., Spinelli, J.J., Beking, K., Lorenzi, M., Chow, Y., Teschke, K., Dimich-Ward, H. (2010). Cancer incidence and adverse pregnancy outcome in registered nurses potentially exposed to antineoplastic drugs. BMC Nursing, 9, 9-15.
26. Schreuder, J.A., Plat, N., Magerøy, N., Moen, B.E., van der Klink, J.J., Groothoff, J.W., & Roelen, C.A. (2011). Self-rated coping styles and registered sickness absence among nurses working in hospital care: A prospective 1-year cohort study. International Journal of Nursing Studies, 48, 838-846.
27. Schwartz, S.J., Forthun, L.F, Ravert, R.D., Zamboanga, B.L., UmañaTaylor, A.J., Filton, B.J., Hudson, M. (2010). Identity consolidation and health risk behaviors in college students. American Journal of Health Behavior, 34, 214-224.
28. Sears, K., Goldsworthy, S., & Goodman, W.M. (2010). The relationship between simulation in nursing education and medication safety. Journal of Nursing Education, 49, 52-55.
29. Shang, J., Wenzel, J., Krumm, S., Griffith, K., & Stewart, K. (2012). Who will drop out and who will drop in: Exercise adherence in a randomized clinical trial among patients receiving active cancer treatment. Cancer Nursing, 35, 312-322.
30. Staggs, V.S. (2013). Nurse staffing, RN mix, and assault rates on psychiatric units. Research in Nursing and Health, 36, 26-37.
31. Staggs, V.S., & Dunton, N. (2012). Hospital and unit characteristics associated with nursing turnover include skill mix but not staffing level: An observational cross-sectional study. International Journal of Nursing Studies, 49, 1138-1145.
32. Theisen, S., Drabik, A., & Stock, S. (2012). Pressure ulcers in older hospitalised patients and its impact on length of stay: A retrospective observational study. Journal of Clinical Nursing, 21, 380-387.
33. van Gaal, B.G., Schoonhoven, L., Mintjes, J.A., Borm, G.F., Hulscher, M.E., Defloor, T., van Achterberg, T. (2011). Fewer adverse events as a result of the SAFE or SORRY? programme in hospitals and nursing homes. Part I: Primary outcome of a cluster randomized trial. International Journal of Nursing Studies, 48, 1040-1048.
34. Ver Hoef, J.M., & Boveng, P.L. (2007). Quasi-Poisson vs. negative binomial regression: How should we model overdispersed count data? Ecology, 88, 2766-2772.
35. Vitolo, M.R., Bortolini, G.A., Campagnolo, P.D., & Hoffman, D.J. (2012). Maternal dietary counseling reduces consumption of energy-dense foods among infants: A randomized controlled trial. Journal of Nutrition Education and Behavior, 44, 140-147.
36. Xie, H., McHugo, G., Sengupta, A., Clark, R., & Drake, R. (2004). A method for analyzing longitudinal outcomes with many zeros. Mental Health Services Research, 6, 239-246.