Logistic regression: A brief primer

Academic Emergency Medicine

Volumn 18, Issue 10, 2011, Pages 1099-1104

  Stoltzfus, Jill C ^a  

^a ST LUKE S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLINICAL RESEARCH; EMERGENCY CARE; INDEPENDENT VARIABLE; LOGISTIC REGRESSION ANALYSIS; OUTCOME ASSESSMENT; OUTCOME VARIABLE; PRIORITY JOURNAL; SOCIAL STATUS;

BIOMEDICAL RESEARCH; EMERGENCY MEDICINE; HUMANS; LOGISTIC MODELS; MODELS, STATISTICAL; RESEARCH DESIGN;

EID: 80054694914     PISSN: 10696563     EISSN: 15532712     Source Type: Journal    
DOI: 10.1111/j.1553-2712.2011.01185.x     Document Type: Article

References (18)

1. Darlington RB,. Regression and Linear Models. Columbus, OH: McGraw-Hill Publishing Company, 1990.
2. Tabachnick BG, Fidell LS,. Using Multivariate Statistics. 5th ed. Boston, MA: Pearson Education, Inc., 2007.
3. Hosmer DW, Lemeshow SL,. Applied Logistic Regression. 2nd ed. Hoboken, NJ: Wiley-Interscience, 2000.
4. Campbell DT, Stanley JC,. Experimental and Quasi-experimental Designs for Research. Boston, MA: Houghton Mifflin Co., 1963.
5. Stokes ME, Davis CS, Koch GG,. Categorical data analysis using the SAS system (2nd ed). Cary, NC: SAS Institute, Inc., 2000.
6. Newgard CD, Hedges JR, Arthur M, Mullins RJ,. Advanced statistics: the propensity score - a method for estimating treatment effect in observational research. Acad Emerg Med. 2004; 11: 953-61. (Pubitemid 39149929)
7. Newgard CD, Haukoos JS,. Advanced statistics: missing data in clinical research - part 2: multiple imputation. Acad Emerg Med. 2007; 14: 669-78. (Pubitemid 46929089)
8. Allison PD,. Logistic Regression Using the SAS System: Theory and Application. Cary, NC: SAS Institute, Inc., 1999.
9. Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR,. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996; 49: 1373-9. (Pubitemid 27028925)
10. Agresti A,. An Introduction to Categorical Data Analysis. Hoboken, NJ: Wiley, 2007.
11. Feinstein AR,. Multivariable Analysis: An Introduction. New Haven, CT: Yale University Press, 1996.
12. Altman DG, Royston P,. What Do We Mean by Validating a Prognostic Model? Stats Med. 2000; 19: 453-73. (Pubitemid 30126878)
13. Kohavi R,. A study of cross-validation and bootstrap for accuracy estimation and model selection. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI). Montreal, Quebec, Canada, August 20-25, 1995. 1995: 1137-43.
14. Efron B, Tibshirani R,. An Introduction to the Bootstrap. New York: Chapman & Hall, 1993.
15. Miller ME, Hiu SL, Tierney WM,. Validation techniques for logistic regression models. Stat Med. 1991; 10: 1213-26.
16. Hosmer DW, Hosmer T, Le Cessie S, Lemeshow S,. A comparison of goodness-of-fit tests for the logistic regression model. Stat Med. 1997; 16: 965-80. (Pubitemid 27198985)
17. Kuss O,. Global goodness-of-fit tests in logistic regression with sparse data. Stat Med. 2002; 21: 3789-801. (Pubitemid 36032746)
18. Zou KH, O'Malley AJ, Mauri L,. Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models. Circulation 2007; 115: 654-7. (Pubitemid 46226175)