The first one, metabolite.txt, contains individual id, age, BMI, sex and circulating levels of hexadecanedioate (a metabolite).
computer science
Description
1.
You
find two datasets attached.
-
The
first one, metabolite.txt, contains individual id, age, BMI, sex and
circulating levels of hexadecanedioate (a metabolite).
-
The
second dataset, bp.txt, contains two systolic blood pressure (SBP) readings at
two different time-points, for each of the individuals in the first file.
-
You
need to do the following:
a. Merge
the two datasets (keeping in mind that each person has two SBP readings at two
different time-points)
b. For each individual, keep only the
SBP reading which was measured at the date closest to the date of the
metabolite measurement (you can use the variables age_hexa and age_SBP to pick
the correct one)
c. Define hypertension (HTN) as SBP>140
d. Create a descriptive table containing the
following rows: N (total number of individual), Female:male ratio, number of
HTN cases, age (mean,sd), BMI (mean, sd), SBP (mean, sd). Approximate at 2
decimal places
e. Run the correct model and answer the
following questions providing Beta(SE) and P values or OR(SE) and P values.
Approximate Beta and SE at 2 decimal places, P values in scientific notation.
Indicate which model you used
· Is hexadecanedioate associated to SBP?
· Is hexadecanedioate associated to SBP when
adjusting for age, sex and BMI?
· Is hexadecanedioate associated to HTN?
