Biostatistics Online Course

Module 1: Introduction to Biostatistics This module provides an overview of biostatistics, its applications in the field of health sciences, and the different types of study designs used in biomedical research. It also introduces the basic concepts of statistics, including data types, variables, inferential statistics, hypothesis testing, and the role of statistics in biostatistics and evidence-based medicine.

Module 2: Probability This module covers the basics of probability, including probability distributions, random variables, and sampling distributions. Students will learn how to calculate and interpret probabilities in the context of biomedical research.

Module 3: Descriptive Statistics This module covers the different measures of central tendency and variability, as well as graphical representations of data. Students will learn how to describe and summarize data from biomedical studies using these methods.

Module 4: Inferential Statistics This module covers the fundamental concepts of inferential statistics, including estimation, hypothesis testing, confidence intervals, and p-values. Students will learn how to use these methods to draw conclusions about populations based on data from samples.

Module 5: Regression Analysis This module introduces the basics of regression analysis, including simple linear regression, multiple linear regression, and logistic regression. Students will learn how to use these methods to model relationships between variables and to make predictions.

Module 6: Biostatistics Tools
This module covers a variety of biostatistical tools that are commonly used in biomedical research, including survival analysis, clinical trials, and epidemiological studies. Students will learn how to use these tools to answer specific research questions.

Module 7: Statistical Software and Tools This module introduces students to popular statistical software programs, such as R and SPSS. Students will learn how to import, manage, and analyze data using these software programs, as well as how to perform statistical tests and generate summary statistics.

Module 8: Ethical Considerations and Reporting Guidelines This module covers the importance of ethical considerations in biostatistics and the reporting guidelines for statistical analysis in research publications. Students will also learn about best practices for data management and data sharing.

Design and conduct biomedical studies

Collect and manage data

Analyze data using statistical methods

Interpret statistical results

Communicate statistical findings effectively

Design and conduct biomedical studies

Collect and manage data

Analyze data using statistical methods

Interpret statistical results

Communicate statistical findings effectively

Introduction to Biostatistics

Module 2 Probability

Descriptive Statistics

Inferential Statistics

Regression Analysis

Biostatistics Tools

Statistical Software and Tools

Ethical Considerations and Reporting Guidelines

Students in health sciences

Researchers

Healthcare professionals

Anyone interested in learning about biostatistics