Far East Journal of Theoretical Statistics
Volume 63, Issue 2, Pages 85 - 91
(December 2021) http://dx.doi.org/10.17654/0972086321002 |
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A NOTE ON ODDS RATIO STANDARD ERROR IN LOGISTIC REGRESSION
Mezbahur Rahman
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Abstract: In logistic regression, odd-ratio and its standard error computations are crucial. Some conventional approaches are available. Here, a simple variation is demonstrated, which leads to smaller standard errors and hence shorter confidence intervals. Bootstrap methods are also implemented and comparisons are made using several popular data sets. |
Keywords and phrases: logistic regression, confidence intervals.
How to cite this article: Mezbahur Rahman, A note on odds ratio standard error in logistic regression, Far East Journal of Theoretical Statistics 63(2) (2021), 85-91. DOI: 10.17654/0972086321002
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
References:
[1] D. W. Hosmer and S. Lemeshow, Applied Logistic Regression, Second ed., Wiley, New York, 2000. [2] M. Rahman, K. A. Holt and P. A. O’Connor, Inferences in logistic models along with estimation of parameters using discriminant function approach, Far East Journal of Theoretical Statistics 39(1) (2012), 53-66.
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