  Laparoscopy is an operation carried out in the abdomen or pelvis through
small incisions with external visual control by a camera. This technique needs
the abdomen to be insufflated with carbon dioxide to obtain a working space for
surgical instruments' manipulation. Identifying the critical point at which
insufflation should be limited is crucial to maximizing surgical working space
and minimizing injurious effects. Bayesian nonlinear growth mixed-effects
models are applied to data coming from a repeated measures design. This study
allows to assess the relationship between the insufflation pressure and the
intra--abdominal volume.
