Demography table

How do you analyze demographic data?

13.

1. Get the data
.23.
2. Plot the data
.33.
3. Aggregating: group_by() , summarise()43
4. Add new columns: mutate() 3
.4.
5. Percentages formatting: percent()53
.5 summarise() vs mutate()63.
6. Common arithmetic functions - sum() , mean() , median() , etc
.73.7 select() columns.83.
7. Reshaping data - long vs wide format

How do you make a demographic table?

Demographics frequently include age, biological sex, BMI, and race/ethnicity.
Other variables may include comorbidities, baseline laboratory values, previous treatment and so on..

How to create demographic table using R?

13.

1. Get the data
.23.
2. Plot the data
.33.
3. Aggregating: group_by() , summarise()43
4. Add new columns: mutate() 3
.4.
5. Percentages formatting: percent()53
.5 summarise() vs mutate()63.
6. Common arithmetic functions - sum() , mean() , median() , etc
.73.7 select() columns.83.
7. Reshaping data - long vs wide format

What is demographic table?

Demographic tables are widely used to report baseline characteristics in medical research.
However, the traditional copy-paste production method is time-consuming and frequently generates typing errors..

What is demography details?

Demography is the statistical study of human populations.
Demographers use census data, surveys, and statistical models to analyze the size, movement, and structure of populations..

What is included in a demographics table?

This involves evaluating birth, death, and migration.
In addition, you can further analyze how demographics have changed by conducting longitudinal studies via longitudinal surveys.
These allow you to study a population over a period of time..

What is the demographic table in R studio?

Description The Demographic Table in R combines contingency table for categorical vari- ables, mean and standard deviation for continuous variables. t-test, chi-square test and Fisher's ex- act test calculated the p-value of two groups..