You are analyzing a random subset of participants with selec
You are analyzing a random subset of participants with selected variables from the Digitalis Investigation Group’s dataset that is made available for student use by BioLINCC which is run by the NIH’s National Heart, Lung, and Blood Institute.
In the below codebook table, identify the variable type (nominal, ordinal, or continuous) for each of the original variables in the data set. (5 points)
Variable
Variable Name
Values or Units of Measurement
Variable Type
Recodes to Complete and Place in Table
Treatment Group
Trtmt
0=placebo
1=drug
Nominal
Age
AGE
in years
Gender
GENDER
1=male
2=female
Nominal
Body Mass Index
BMI
kg/m2
Serum Potassium level
KLEVEL
In mEq/L
1=abnormal (under 3.5)
2=normal (3.5 -5.5)
Serum Creatinine
Creat
In mg/dL
1=normal (0.5-1.200)
2=abnormal (1.201 +)
Number of symptoms
Nsymp
Duration of CHF
Chfdur
Months
# of Hospitalizations
Nhosp
Vital Status of Patient
death
0=Alive
1=Dead
| Variable | Variable Name | Values or Units of Measurement | Variable Type | Recodes to Complete and Place in Table |
| Treatment Group | Trtmt | 0=placebo 1=drug | Nominal | |
| Age | AGE | in years | ||
| Gender | GENDER | 1=male 2=female | Nominal | |
| Body Mass Index | BMI | kg/m2 | ||
| Serum Potassium level | KLEVEL | In mEq/L | 1=abnormal (under 3.5) 2=normal (3.5 -5.5) | |
| Serum Creatinine | Creat | In mg/dL | 1=normal (0.5-1.200) 2=abnormal (1.201 +) | |
| Number of symptoms | Nsymp | |||
| Duration of CHF | Chfdur | Months | ||
| # of Hospitalizations | Nhosp | |||
| Vital Status of Patient | death | 0=Alive 1=Dead |
Solution
age- continuous
body mas index- continuous
serum potassium level- ordinal
serum cretatine- ordinal
Number of symptoms -continuous
duration of CHF- continuous
num of hospitalizations- nominal
vital status of patient- nominal


