Dear all, very new to statistics but keen to learn as starting research.
I have a data set looking at only those who have died/been removed from a much larger group and have a lot of data about them (i.e. age, BMI, sex, 4 symptom types, distance from hospital, smoker/ex/never smoker- probably have around 80-90% of this data for the 120 or so in this group).
I do not have the data on those who went on to have curative treatment other than total number which is perhaps around 800, (900+ with the drop out group).
I would like to describe this (drop out) cohort in as much depth as possible. I can of course describe univariate analysis with simple mean, mode, IQR etc. But wondered whether there is more I can achieve without all the data from the group that progressed through treatment, eg. Multiple regression??
many thanks for any advice.
I have a data set looking at only those who have died/been removed from a much larger group and have a lot of data about them (i.e. age, BMI, sex, 4 symptom types, distance from hospital, smoker/ex/never smoker- probably have around 80-90% of this data for the 120 or so in this group).
I do not have the data on those who went on to have curative treatment other than total number which is perhaps around 800, (900+ with the drop out group).
I would like to describe this (drop out) cohort in as much depth as possible. I can of course describe univariate analysis with simple mean, mode, IQR etc. But wondered whether there is more I can achieve without all the data from the group that progressed through treatment, eg. Multiple regression??
many thanks for any advice.