What will you learn?

By the end of the module, participants will be able to:  

• explain the basic concepts of biostatistics in epidemiology, including application of descriptive and inferential statistics at the population level to accurately describe and conclude disease situations or events;
• explain the types of errors in epidemiological measurements.
  

Descriptive statistic in epidemiology

In this lesson, you will learn how to perform descriptive data analysis. Please watch the lecture by Dr. Sangeeta Rao, Biostatistician Epidemiologist, Animal Population Health Institute (APHI), Department of Clinical Sciences and College of Veterinary Medicine and Biomedical at Colorado State University.

Please note: Downloadable presentation is at the end of the recorded lecture.

Inferential statistic in epidemiology

In this lesson, you will learn how to perform inferential data analysis. Please watch the lecture by Dr. Sangeeta Rao.

Bias, confounding and interaction

In this lesson,  you will learn about  types of bias, confounding and interaction, and how to recognize the importance of any bias occurring. Please watch the lecture by Dr. Sangeeta Rao.

Supplementary lesson

As part of your supplementary topics, the following lessons are listed below:

• Descriptive Statistics by Dr. Jaranit Kaewkungwal.
• Inferential Statistics by Dr. Jaranit Kaewkungwal.
• Bias in Epidemiology & Confounding by Dr. Pratap.
  

Descriptive Statistics

In this lesson, you will learn the introduction to statistical methods for epidemiological research and descriptive statistics and analytic study by Dr.Jaranit Kaewkungwal.

Inferential Statistics

In this lesson, you will learn how to perform inferential data analysis. Please watch the lecture by Dr.Jaranit Kaewkungwal.

Sampling techniques and sample size estimation

In this lesson, you will learn sampling techniques and perform sample size estimation. Please watch the lecture by Dr. Jaranit Kaewkungwal.

Bias in Epidemiology & Confounding

In this lesson, you will learn about the types of bias, confounding and interaction, in order to recognize the importance of any bias occurring. Please watch the lecture by  Dr. Jaranit Kaewkungwal.