In Vitro Fertilization (IVF) offers infertile couples the opportunity to have a baby. Many of these couples have multiple attempts to try to achieve this goal. To model the risk factors that affect the process at any of its stages, across the multiple attempts, an ordinal response and an extended continuation ratio random effects model have been used. This enabled the modelling of differential effects of covariates on different stages of the process. A significant random effect suggests that there is a couple specific effect, which may be interpreted as a fertility index.
|Title of host publication||Proceedings of the 22nd International Workshop on Statistical Modelling|
|Editors||Joan del Castillo, Anna Espinal, Pere Puig|
|Place of Publication||Barcelona, Spain|
|Publisher||L'Institut d'Estadistica de Catalunya, IDESCAT|
|Number of pages||5|
|Publication status||Published - 2007|
|Event||International Workshop on Statistical Modelling (22nd : 2007) - Barcelona, Spain|
Duration: 2 Jul 2007 → 6 Jul 2007
|Workshop||International Workshop on Statistical Modelling (22nd : 2007)|
|Period||2/07/07 → 6/07/07|
- extended continuation ratio model
- random effects model
Penman, R., Heller, G., & Tyler, J. (2007). Modelling IVF data using an extended continuation ratio random effects model. In J. D. Castillo, A. Espinal, & P. Puig (Eds.), Proceedings of the 22nd International Workshop on Statistical Modelling (pp. 485-489). Barcelona, Spain: L'Institut d'Estadistica de Catalunya, IDESCAT.