What is medical statistics?

Medical statistics is a field in which the use of statistics is applied to show correlations between medicine, illness, public health, clinical research, and forensic medicine. Also known as biostatistics, medical statistics has applications in clinical medicine, lab research, and national systems of health care. During the COVID-19 pandemic, medical statistics were used on a daily basis to track how well certain areas were doing to control the spread of the virus. Medical statistics represents a large growth opportunity to learn more about, with the ever-increasing numbers of graying baby boomers seeking medical treatment in the coming years, along with the growing use of big data around medical records.

Why is it valuable to learn medical statistics?

Medical statistics are an essential part of medical research, and it is valuable to learn this to gain knowledge that can be used in medical experiments, medical tests, global pandemics, and clinical trials of medicine. When statistics are used in medicine, the results can help provide a general snapshot of the threat or severity of a certain illness. Understanding medical statistics can also help medical professionals and pharmaceutical companies figure out which new drugs should be tested and brought to market. With more information about health and medicine through statistics, the better equipped our society will be about illnesses and more.

What career opportunities can arise from learning medical statistics?

When you learn medical statistics, you can find work in medicine and the health sciences, including careers in medical labs, hospitals, public health facilities, government institutions, and medical testing facilities. Health care organizations use a great deal of data and statistics today to drive performance outcomes. Knowing medical statistics can help you find career work in medical service provider organizations that use data to grow quality improvement throughout the organization.

How can taking online courses on Coursera teach me about medical statistics?

When you take online courses on Coursera about medical statistics, you can learn key concepts about research models and statistical analysis along with how to apply and measure statistical hypothesis testing, binary data, variability regression, and confidence intervals. You have the opportunity to discover how to read and understand mathematical formulas that will give you greater confidence to understand medical statistics as well as explore public health policy issues and assess how they impact the medical community at large.

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Medical Statistics

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''medical statistics'的 131 个结果

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Imperial College London
Introduction to Statistics & Data Analysis in Public Health
您将获得的技能： General Statistics, Probability & Statistics, Data Analysis, Probability Distribution, Statistical Analysis, Business Analysis, Statistical Tests, Basic Descriptive Statistics, Exploratory Data Analysis, R Programming, Statistical Programming, Critical Thinking, Data Analysis Software
4.7
（1.3k 条评论）
Beginner · Course · 1-4 Weeks
免费
Utrecht University
Clinical Epidemiology
您将获得的技能： Epidemiology, Probability & Statistics, Research and Design, Data Management, Accounting, Algebra, Biostatistics, Business Development, Calculus, Clinical Data Management, Communication, Computer Programming, Data Analysis, Data Structures, Employee Relations, Human Resources, Mathematics, Sales, Theoretical Computer Science
4.7
（313 条评论）
Intermediate · Course · 1-3 Months
免费
免费
Yale University
Introduction to Medical Software
您将获得的技能： Software Engineering, Software Testing, Computational Thinking, Computer Programming, General Statistics, Java Programming, Probability & Statistics, Security Engineering, Security Strategy, Software Engineering Tools, Algorithms, Application Development, Bioinformatics, Biostatistics, Business Analysis, Business Psychology, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Networking, Data Analysis, Deep Learning, Design and Product, DevOps, Entrepreneurship, Feature Engineering, Finance, Human Computer Interaction, Human Factors (Security), Leadership and Management, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Network Security, Probability Distribution, Product Design, Product Lifecycle, Regulations and Compliance, Research and Design, Risk Management, Software Architecture, Software Security, Statistical Analysis, Theoretical Computer Science, User Experience, User Experience Design, User Research
4.8
（61 条评论）
Intermediate · Course · 3-6 Months
免费
DeepLearning.AI
AI for Medical Diagnosis
您将获得的技能： Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Software, Statistical Programming, Applied Machine Learning, Computer Vision, Data Analysis, Estimation, Exploratory Data Analysis, General Statistics, Statistical Tests, Statistical Visualization, Algorithms, Computer Graphics, Computer Programming, Data Management, Data Structures, Feature Engineering, Probability & Statistics, Theoretical Computer Science
4.7
（1.8k 条评论）
Intermediate · Course · 1-4 Weeks
免费

总之，这是我们最受欢迎的 medical statistics 门课程中的 10 门

Population Health: Predictive Analytics: Universiteit Leiden
Understanding Medical Research: Your Facebook Friend is Wrong: Yale University
Introduction to Statistics & Data Analysis in Public Health: Imperial College London
Clinical Epidemiology: Utrecht University
Player Evaluation, Team Performance and Roster Management: The State University of New York
Introduction to Medical Software: Yale University
Understanding Clinical Research: Behind the Statistics: University of Cape Town
Medical Terminology: Rice University
AI for Medical Diagnosis: DeepLearning.AI
Medical Applications of Particle Accelerators (NPAP MOOC): Lund University

关于医学统计的常见问题

Medical statistics is a field in which the use of statistics is applied to show correlations between medicine, illness, public health, clinical research, and forensic medicine. Also known as biostatistics, medical statistics has applications in clinical medicine, lab research, and national systems of health care. During the COVID-19 pandemic, medical statistics were used on a daily basis to track how well certain areas were doing to control the spread of the virus.
Medical statistics represents a large growth opportunity to learn more about, with the ever-increasing numbers of graying baby boomers seeking medical treatment in the coming years, along with the growing use of big data around medical records.‎
Medical statistics are an essential part of medical research, and it is valuable to learn this to gain knowledge that can be used in medical experiments, medical tests, global pandemics, and clinical trials of medicine. When statistics are used in medicine, the results can help provide a general snapshot of the threat or severity of a certain illness.
Understanding medical statistics can also help medical professionals and pharmaceutical companies figure out which new drugs should be tested and brought to market. With more information about health and medicine through statistics, the better equipped our society will be about illnesses and more.‎
When you learn medical statistics, you can find work in medicine and the health sciences, including careers in medical labs, hospitals, public health facilities, government institutions, and medical testing facilities. Health care organizations use a great deal of data and statistics today to drive performance outcomes. Knowing medical statistics can help you find career work in medical service provider organizations that use data to grow quality improvement throughout the organization.‎
When you take online courses on Coursera about medical statistics, you can learn key concepts about research models and statistical analysis along with how to apply and measure statistical hypothesis testing, binary data, variability regression, and confidence intervals. You have the opportunity to discover how to read and understand mathematical formulas that will give you greater confidence to understand medical statistics as well as explore public health policy issues and assess how they impact the medical community at large.‎