Hi All - HELP!
I have a large dataset on women in labour, and I'm interested in finding out risk factors for a particular complication of labour. The complication is either there, or not there.
I also have lots of information on possible risk factors for the complication, e.g.: length of labour, birth weight of baby and number of previous babies, together with things like ethnicity.
Q: How can I find out if there are particular risk factors for the complication?
(?Possible A): I was planning to do logistic regression in JMP, to calculate Odds ratios. Is this the right approach?
Also: would I need to break data down before analysing? (eg split into ranges of birth weights, such as 3,000g-4,000g, >4,000g). Or can I just compare all the birth weights for those with the complication and those without, and get a sensible answer?
After staring at JMP for several hours I'm now broken - so any help would be much appreciated!

I have a large dataset on women in labour, and I'm interested in finding out risk factors for a particular complication of labour. The complication is either there, or not there.
I also have lots of information on possible risk factors for the complication, e.g.: length of labour, birth weight of baby and number of previous babies, together with things like ethnicity.
Q: How can I find out if there are particular risk factors for the complication?
(?Possible A): I was planning to do logistic regression in JMP, to calculate Odds ratios. Is this the right approach?
Also: would I need to break data down before analysing? (eg split into ranges of birth weights, such as 3,000g-4,000g, >4,000g). Or can I just compare all the birth weights for those with the complication and those without, and get a sensible answer?
After staring at JMP for several hours I'm now broken - so any help would be much appreciated!