courseraЗдоровье

Statistics, Bioinformatics, and AI in SABV Research

Курс от University of Colorado System

Средний≈ 3.9 чАнглийский

О курсе

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

Навыки, которые вы освоите

Statistical Analysis Endocrinology Statistical Hypothesis Testing Artificial Intelligence and Machine Learning (AI/ML)Quantitative Research Statistical Reporting Medical Science and Research Pre-Clinical Development Research Methodologies Gynecology Clinical Research Statistical Methods Bioinformatics Machine Learning Methods Applied Machine Learning Statistical Machine Learning Biostatistics Responsible AI

Программа курса

3 модулей · 19 учебных материалов

01Practical Aspects of SABV in Research5 материалов

Introduction to This CourseЧтение Perimenopause, Menopause, and Hormone MeasurementВидео Q&A with Dr. Santoro: Clinical Questions about Perimenopause and MenopauseВидео Best Methods for Studying SABV in Human Cardiovascular ResearchВидео

Учитесь у экспертов

Ludeman Family Center for Women's Health Research

Преподаватель курса