NAPLEX (North American Pharmacist Licensure Examination) Practice Exam

Disable ads (and more) with a membership for a one time $2.99 payment

Study for the NAPLEX exam with a comprehensive quiz featuring multiple-choice questions and in-depth explanations. Build your pharmacological knowledge and increase your chances of passing the pharmacist licensure examination!

Each practice test/flash card set has 50 randomly selected questions from a bank of over 500. You'll get a new set of questions each time!

Practice this question and more.


What is the main purpose of Regression in observational studies?

  1. To assess a single independent variable

  2. To control for many confounding factors

  3. To calculate sensitivity and specificity

  4. To show causation

The correct answer is: To control for many confounding factors

In observational studies, the main purpose of regression is to control for many confounding factors. Confounding factors are variables that can influence both the independent variable and the dependent variable, leading to a potential distortion of the relationship between them. By using regression analysis, researchers can account for and statistically control these confounding variables, allowing them to better isolate the true relationship between the independent and dependent variables. This helps to strengthen the validity of the findings and draw more reliable conclusions from observational studies. Regarding the other options: A. Assessing a single independent variable is a basic analysis that can be done using simpler statistical methods, while regression is typically employed for more complex analyses involving multiple variables. C. Sensitivity and specificity are measures used to evaluate diagnostic tests and are not directly related to the main purpose of regression in observational studies. D. Showing causation is a complex and challenging task in research and while regression analysis can provide insights into relationships between variables, it cannot definitively demonstrate causation.