I have data from 12 patients, and we have measured 5 hemodynamic variables ( Systolic Blood Pressure, Diastoic Blood P, cardiac index, venous resistance and artery complaince) on each of these 12 patients on 4 different days. These measurements were done using a instrument that we made ( which is validated). I also have the data on the weight gain of these patients for these 4 days.

I have subdivided the data based on delta weight gain. i.e <2 lbs <1 and <0.5 ( this is done like this... say patient 1 has 4 weight gains: 1 lb, 3.2 lb, 2.8, 1.7 then we calculate (delta weight gain) highest-lowest (3.2-1=2.2) is this patients delta weight gain. So in order to have this patient in <2 group we will delete 1 ( first value), so tht now delta weight gain is 3.2-1.7=1.5. When we do this we have to delete all 5 hemodynamic variables for that patient for 1st day in order to make sense. To have this patient in <0.5 group- we will delete both 1 and 1.7 to make it 3.2-2.8=0.4. But we remove corresponding values for same patient from all 5 variables.

This generates data for 12 patients with variable # values may be 1,2,3 or 4 ( out of 4 days)for each 5 variables.

This way all 12 patients have been readjusted for delta weight gain <2, <1, <0.5

Now My research question is:

1) are the readings for each hemodynamic variables reproducible for every patient- i mean within patient not between patient, assuming evrything else is stable.

2) is there a relation between delta weight gain and variation in 5 hemodynamic variables i.e lets say when weight gain is stable ( <0.5 variation) then there is less variation of hemodynamic parameters

I was trying to use intra class correlation coefficient and repeated measures ANOVA. but the problem is when subdividing the data based on delta weight gain i have lots of missing values for all of patients. I dont know how to handle that.

I don't know if I was able to explain my data properly.

If anyone can help me with this problem I would greatly appreciate it