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Comparing statistical methods for detecting and estimating waning efficacy of rotavirus vaccines in developing
Michael Haber1, Jacqueline E Tate2, Benjamin A Lopman2,3
1Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.
Human Vaccines & Immunotherapeutics
|October 6, 2021
Summary
Durham's method effectively detects waning rotavirus vaccine efficacy (VE) over time. This statistical approach offers higher power and more accurate VE estimates compared to other methods, crucial for developing countries.
Area of Science:
- Epidemiology
- Biostatistics
- Vaccinology
Background:
- Rotavirus infection poses a significant global health burden, particularly in developing nations.
- Rotavirus vaccine efficacy (VE) has been shown to decrease within two years post-vaccination.
- Existing statistical methods for evaluating VE waning require comparative analysis.
Purpose of the Study:
- To compare three statistical methods for detecting and quantifying rotavirus vaccine efficacy waning.
- To evaluate the performance of Durham's method, Tian's method, and the time-dependent covariate (TDC) method.
- To assess the accuracy of VE estimates and waning rates over time.
Main Methods:
- Development of a stochastic agent-based simulation model for hypothetical rotavirus vaccine trials.
- Generation of simulated datasets reflecting time-varying vaccine efficacy.
- Application and comparison of Durham's, Tian's, and TDC methods using simulated data, analyzing type-1 error and statistical test power.
Main Results:
- Durham's method demonstrated the highest statistical power in detecting true VE waning.
- Durham's method provided accurate estimations of VE for distinct periods.
- The method also yielded precise estimates of the per-period decline in VE.
Conclusions:
- Durham's method is superior to Tian's and TDC methods for detecting VE waning.
- This method offers enhanced insights into the temporal dynamics of rotavirus vaccine efficacy.
- Durham's method is recommended for its power and detailed temporal VE analysis.

