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Mendeley readers
| Title |
Influence diagnostics for count data under AB–BA crossover trials
|
|---|---|
| Published in |
Statistical Methods in Medical Research, November 2015
|
| DOI | 10.1177/0962280215615597 |
| Pubmed ID | |
| Authors |
Chengcheng Hao, Dietrich von Rosen, Tatjana von Rosen |
| Abstract |
This paper aims to develop diagnostic measures to assess the influence of data perturbations on estimates in AB-BA crossover studies with a Poisson distributed response. Generalised mixed linear models with normally distributed random effects are utilised. We show that in this special case, the model can be decomposed into two independent sub-models which allow to derive closed-form expressions to evaluate the changes in the maximum likelihood estimates under several perturbation schemes. The performance of the new influence measures is illustrated by simulation studies and the analysis of a real dataset. |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 33% |
| Student > Doctoral Student | 1 | 33% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 1 | 33% |
| Unknown | 2 | 67% |