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Ordinal regression increases statistical power to predict epilepsy surgical outcomes
Adam S Dickey1, Robert T Krafty2, Nigel P Pedersen1,3,4
1Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.
Epilepsia Open
|February 14, 2022
Summary
Ordinal logistic regression offers greater statistical power for analyzing epilepsy surgery outcomes, especially with small sample sizes. This method enhances the detection of predictors like mesial temporal sclerosis for better surgical results.
Area of Science:
- Neurosurgery
- Biostatistics
Background:
- Epilepsy surgery outcome studies often lack statistical power due to small sample sizes.
- Mesial temporal sclerosis (MTS) is a known predictor of better outcomes after stereotactic laser amygdalohippocampectomy (SLAH).
Purpose of the Study:
- To compare the statistical power of ordinal logistic regression versus binary logistic regression for analyzing epilepsy surgery outcomes.
- To evaluate the effectiveness of ordinal regression in detecting predictors like MTS in small datasets.
Main Methods:
- Data from 239 patients across eight studies on SLAH outcomes were analyzed.
- Engel surgical outcomes (four discrete levels) were stratified by the presence or absence of MTS.
- Statistical power was calculated for both ordinal and binary logistic regression models.
Main Results:
- Ordinal regression demonstrated significantly higher statistical power (29%) compared to binary logistic regression (13%) in detecting MTS as a predictor (P < .001).
- Fewer patients (120) are needed for 80% power with ordinal regression versus 210 with binary regression.
- Patients with MTS showed a higher rate of freedom from disabling seizures (64.3%) compared to those without (44.1%).
Conclusions:
- Ordinal logistic regression is a more powerful statistical method for analyzing ordinal epilepsy surgery outcomes, particularly with limited patient data.
- Utilizing ordinal regression can improve the identification of prognostic factors and enhance the validity of surgical outcome studies.
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