the student will practice the skills learned in the “Turning Datasets into Tables” seminars, using a dataset

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Assignment #3 Creating Tables from a Dataset In this exercise, the student will practice the skills learned in the “Turning Datasets into Tables” seminars, using a dataset from one of the NHANES surveys (1999-2000), which enrolled 9,965 participants.

Variable Assignments Each student will choose explanatory (independent) variables and outcome (dependent) variables from the parts of the NHANES study assigned to them, as shown in the following dataset:

For me the independent variable is : From “Lab - Albumin-Creatinine” set, or “Osteoporosis” set

Outcome variable is : From “Osteoporosis” set, or “Lab – Albumin-Creatinine” set

The steps for this assignment :

The steps in this exercise are:

1. Choose your independent variables

a. Choose two binary variables

I. For most yes/no’ binary variables In the NHANES dataset, they also have other codes that you will need to recode to “missing” (e.”). You need to do this in the “OO.Recodes.do” file.

b. One continuous variable that is normally distributed (must show the histogram and also demonstrate that the s.d. is 1/3 of the mean)

i. Again, be sure to recode any “missing” codes to “missing” (“.“) values in the recodes file

c. One continuous variable that is not normally distributed (must show the histogram and also demonstrate that the s.d. is >1/3 of the mean)

i. Again, be sure to recode any “missing” codes to “missing” (“.“) values in the recodes file

d. One categorical nominal variable

i, Again, be sure to recode any missin( codes to ‘missing” (‘.‘) values in the recodes file

e. Convert of the continuous variables you chose into a categorical ordinal variable with at least three levels (with the recode codes showing in the “recodes.do” file).

2. Choose two outcome” type variables from your outcome dataset or datasets:

a. Choose one continuous outcome” measure (usually a biological measure like a body measurement or a blood or urine test).

j. This variable can be either normally-distributed or skewed.

Ii. Be sure to include a histogram of this variable to see if you need to summarize it using means/s.d. or median/IQR.

iii. Again, be sure to recode any “missing’ codes to ‘missing” (‘.“) values in the recodes file

b. Choose one binary outcome (usually a disease or a behavior).

L Again, be sure to recode any “missing” codes to “missing” (“.“)values in the recodes file

Attachments:

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