Summary Statistics in Public Health (Coursera)

Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve.
What You Will Learn

- Calculate continuous data measures

- Interpret data visualizations

- Analyze binary data

- Analyze time to event data

Course 1 of 4 in the Biostatistics in Public Health Specialization.

Syllabus

WEEK 1

The Role of Statistics in Public Health Research

Within this learning module, you will learn how statistics are used within public heath research. Topics covered include study design types, data types, and data summarization. You will complete a practice quiz before completing a graded quiz.

Continuous Data Measures

Module two involves several lectures, a practice quiz and a graded quiz. Topics include summary statistics, visual displays, role of sample size, and continuous data.

WEEK 2

The Normal Distribution

The focus of this module is on normal distribution. Topics covered include defining the standard normal distribution, and application of principles of normal distribution to sample data. There is a practice quiz where you can test your knowledge before completing the graded quiz.

WEEK 3

Binary Data

Module four covers binary data and its significance. In addition to lectures, you will complete a practice quiz and a graded quiz.

WEEK 4

Dealing with the Element of Time

In module five, you will explore how time is defined and studied in relation to data and learn about the Kaplan-Meir curve. In addition to a practice quiz, you will complete a graded quiz and project.

Course Project

During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about asthma medication and the other about self-administration of injectable contraception. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies.