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Epidemiology home of Stata version 14
- Get a general overview of the data using the describe command- this describes all of the data. How many observations and variables are in this data set? (Paste the first few lines of the output).
- Report the mean and standard deviation of participants’ age for exams 1, 2, and 3 (using variables age1, age2, age3). Round to the nearest tenth. Paste the output from your results window.
- What is the median age of the participants from exam 1 (50% percentile)? Paste the output from your results window.
- Use the ‘tab’ command to tabulate the variable death (death indicator) and angina (Incident angina pectoris).
- Of the individuals who died, how many of them had an incidence of angina pectoris? Paste the output from your results window.
- Of the individuals who had incidences of angina pectoris, what is the percentage of individuals who are living and what is the percentage of individuals who died?(HINT: use the ‘tab’ command and add an additional command to get the row percentages and frequencies).
- According to the American Heart Association, the following is a chart categorizing diastolic blood pressure levels (mm HG):
| Blood Pressure Category | Diastolic mm HG (lower #) |
| Normal | Less than 80 |
| Prehypertension | 80-89 |
| High Blood Pressure (Hypertension) Stage 1 | 90-99 |
| High Blood Pressure (Hypertension) Stage 2 | 100 or higher |
| Hypertensive Crisis (Emergency care needed) | Higher than 110 |
Source: Diastolic Blood Pressure Chart (American Heart Association- AHA)
Using the diabp1 variable, create a new variable for the above categories for diastolic blood pressure. (Hint: use the generate and replace commands we learned in class). Tabulate and record the number of individuals in each category. Paste the final table below of your new categorical variable.
- All of the graph options in Stata are located in the Graphics
- Create a histogram for BMI (using variable bmi1), indicating the frequency on the y-axis. Paste the histogram here.
- Generate a new 0/1 indicator variable for sex at first visit (e.g. generate a variable where the value is 1 for women and 0 for men.) Create a 2×2 table of the previous sex variable (sex1) and your new sex variable to show that it was created correctly. Paste the output here.
- Re create your histogram for BMI (using variable bmi1), indicating the frequency on the y-axis, this time only for females. Paste the histogram here.
- Create a box plot for the diastolic blood pressure variable (diabp1). Now add the variable stroke as a grouping variable and paste the final box plot.
