I am part of a team creating a model for paediatric hospitalised patients and would appreciate some help. We are looking to produce an accurate model for weight estimation, using input variables of gender, age and mid-upper arm circumference. This would be helpful as some children arrive in hospital too unwell for a set of scales but weight is required for medication doses etc.
So far we have used multiple regression analysis and come up with a fairly good model. We produced our model using data from a large cohort of UK children and cross-validated it in large cohorts of Greek and Dutch children. However, a reviewer has suggested we use bootstrapping to produce a better model.
We have a few questions about this and would really appreciate some help.
1) Should we use a combination of the UK, Greek and Dutch data to produce the model?
2) Do we need to do further validation / cross-validation once we have the model from bootstrapping? And if so which data should we use for this?
Thanks very much in advance
Lindsey
So far we have used multiple regression analysis and come up with a fairly good model. We produced our model using data from a large cohort of UK children and cross-validated it in large cohorts of Greek and Dutch children. However, a reviewer has suggested we use bootstrapping to produce a better model.
We have a few questions about this and would really appreciate some help.
1) Should we use a combination of the UK, Greek and Dutch data to produce the model?
2) Do we need to do further validation / cross-validation once we have the model from bootstrapping? And if so which data should we use for this?
Thanks very much in advance
Lindsey