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」の131件の結果

無料
Imperial College London
Introduction to Statistics & Data Analysis in Public Health
習得できるスキル： 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件のレビュー）
Beginner · Course · 1-4 Weeks
無料
Utrecht University
Clinical Epidemiology
習得できるスキル： 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件のレビュー）
Intermediate · Course · 1-3 Months
無料
無料
無料
Yale University
Introduction to Medical Software
習得できるスキル： 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
（60件のレビュー）
Intermediate · Course · 3-6 Months
DeepLearning.AI
AI for Medical Diagnosis
習得できるスキル： 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件のレビュー）
Intermediate · Course · 1-4 Weeks
無料
DeepLearning.AI
AI For Medical Treatment
習得できるスキル： Machine Learning, Machine Learning Algorithms, Algorithms, Basic Descriptive Statistics, Computer Vision, Deep Learning, Machine Learning Software, Natural Language Processing, Plot (Graphics), Python Programming, Scientific Visualization, Theoretical Computer Science
4.7
（484件のレビュー）
Intermediate · Course · 1-4 Weeks

要約して、medical statistics の人気コース10選をご紹介します。

Population Health: Predictive Analytics: Universiteit Leiden
Introduction to Statistics & Data Analysis in Public Health: Imperial College London
Clinical Epidemiology: Utrecht University
Understanding Medical Research: Your Facebook Friend is Wrong: Yale University
Understanding Clinical Research: Behind the Statistics: University of Cape Town
Introduction to Medical Software: Yale University
Medical Terminology: Rice University
AI for Medical Diagnosis: DeepLearning.AI
Medical Applications of Particle Accelerators (NPAP MOOC): Lund University
AI For Medical Treatment: DeepLearning.AI

医療統計に関するよくある質問

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.‎