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e learning biostatistics
In this e-learning course, we introduce the basic principles of biostatistics. The aim of the course is to enable students and researchers to learn to analyse their own data using appropriate statistical methods and interpret the results of their statistical analysis. The topics covered are: descriptive statistics, the principles of statistical testing, tests to compare categorical and numerical variables between groups and univariable and multivariable linear and logistic regression and survival analysis. The theory is accompanied by quizzes and practical exercises in the statistical programs SPSS and R. You can choose whether to perform these exercise using SPSS or R or both. The practical exercises enable students to become familiar with SPSS and/or R.
The module contains 30 to 40 hours of course material, aimed at clinical researchers. By the end of the course, students should be able to understand and be able to perform the most common statistical analyses used in clinical research and to select an appropriate statistical method when analyzing their own data. You can find a detailed description of the content of the e-learning course here.
The course has been developed by the methodologists and statisticians of the Clinical Research Unit (CRU) of the Academic Medical Center (AMC) with SOWISO – a company that develops educational software in the field of mathematics and statistics.
If you want to follow the course, you can register via the appropriate registration form. If you would like to use the course for a group in your own institution, please contact us for more information. Please also Get in touch with us if you have any questions!
What is Biostatistics?
When you apply mathematical principles to the field of biology, you’re able to conduct research and report findings consistently. The field of Biostatistics allows researchers to use statistical principles to find patterns in public health, maintain consistent clinical trials, or conduct research in other areas of human health where pattern finding can lead to breakthroughs. Data is so crucial in the research field and processing that data spurs innovations in new treatments and medicines. It also helps us better predict the outcomes of public health issues and could even teach us how to see the beginnings of problems before they become a public health crisis. Biostatisticians are at the forefront of using big data to the advantage of human health.
Learn Biostatistics
If you’ve got the background in biology and life sciences, making the switch to biostatistics is an excellent way to get into research. You’ll have the chance to make gains in biomedical research and provide health sciences with better insights from big data through statistical understanding. Data science is one of the best ways we have to make sense of the world around us. Biomedical sciences, in particular, need those insights from data to help solve issues and make better choices. Courses that help you understand how mathematical thinking and pattern recognition fit into the world of biology are necessary to get started in this field.
Biostatistics Courses and Certifications
edX can help you get started on your career in biostatistics with courses designed to give you the foundational knowledge and advanced understanding you’ll need. Courses are designed with leading innovators in the field and available to you wherever you are in the world. Doane offers a course in the fundamentals of Biostatistics, teaching you about data science, bioinformatics, and computer science involved with modern statistical thinking. Other options include The University of Texas Medical Branch’s course in Biostatistics for Big Data and Osaka’s course series in aspects of biological research using statistical models.
Explore a Career in Biostatistics
edX’s courses give you the foundational knowledge you’ll need to make the leap into biostatistics. They’re available around the world and offered by institutions currently leading the way with medical research. You’ll need plenty of mathematical thinking to build research effectively, so work with edX to make sure you have that understanding. Biostatistics could help change health outcomes, not just in the United States but around the world. As we better understand risk factors for some of our most significant health issues, we may uncover biological phenomena we missed before or finally build a better culture of environmental health. Whatever avenue you choose, your research projects and data collection could be the next big breakthrough.
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