Statistics, Bioinformatics, and AI in SABV Research

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Statistics, Bioinformatics, and AI in SABV Research

This course is part of Sex as a Biological Variable in the Conduct of Research Specialization

Instructor: Ludeman Family Center for Women's Health Research

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

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Build your subject-matter expertise

This course is part of the Sex as a Biological Variable in the Conduct of Research Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

This course addresses statistics, bioinformatics, and machine learning/artificial intelligence in the study of sex differences and SABV research. You'll learn from experts about the following:

addressing common statistical errors, describing challenges related to the measurement of peri and postmenopausal women in research, considering methods to control for hormones in research, identifying preclinical models to answer questions regarding sex differences, illustrating the latest uses of machine learning and artificial intelligence. This course is the third of three courses in the Specialization: Sex as a Biological Variable in the Conduct of Research. Experts: Nannette Santoro, MD, University of Colorado Anschutz Kerrie Moreau, PhD, University of Colorado Anschutz Nancy Lane, MD, UC Davis Nina Stachenfeld, PhD, Yale School of Medicine Janet Rich Edwards, ScD, MPH, Harvard University Audrey Hendricks, PhD, University of Colorado Anschutz Carolyn Mazure, PhD, Yale School of Medicine

In this module, instructors provide an introduction to study sex differences in human research.

What's included

3 videos1 reading1 assignment

In this module, instructors provide more detail on methods to study sex differences in human research by providing examples for both laboratory and clinical trials.

What's included

4 videos1 assignment

4 videosTotal 28 minutes

Using Preclinical Models to Study Sex Differences to Improve Drug Interventions9 minutes
Q&A with Dr. Lane: Discussion of Methods and Experience in Clinical Trials5 minutes
Methods for Sex Hormone Effects in Women under Ideal Conditions9 minutes
Methods for Including Women in Studies When Controls are Less Than Ideal6 minutes

1 assignmentTotal 30 minutes

Module 2 Quiz30 minutes

In this module, instructors provide a basic understanding for the use of ML/AI and biostatistics in sex difference and SABV research.

What's included

5 videos1 reading1 assignment

5 videosTotal 54 minutes

Opportunity and Integrity in Sex Differences Research9 minutes
The Use and Misuse of p-Values in Sex Difference Research11 minutes
Best Uses of Machine Learning and Artificial Intelligence in Sex Differences Research12 minutes
Reducing Machine Learning (ML) and AI Bias in Sex Differences Research11 minutes
Closing Remarks: Why is it Important to Study Women's Health?11 minutes

1 readingTotal 5 minutes

References & Resources5 minutes

1 assignmentTotal 30 minutes

Module 3 Quiz30 minutes

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Instructor

Ludeman Family Center for Women's Health Research

University of Colorado System

0 Courses0 learners

Offered by

University of Colorado System

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