The George Institute For Global Health
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Robust estimation in the negative binomial model with applications to musculoskeletal problems

Project status: 
Archived

In intervention studies aiming at reducing the number of falls the standard method of analysis is negative binomial regression. Unfortunately more often than not a small group of multiple fallers unduly influences the fit and inflates the dispersion parameter estimate used in sample size calculations.

The objective of this project is to propose a robust estimation approach for this model and compare it to existing techniques. Part of William Aeberhard’s PhD, Geneva  University, co-supervised by S. Heritier and E. Cantoni, Geneva University