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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119 resultados para "medical statistics"

Gratis
Yale University
Introduction to Medical Software
Habilidades que obtendrás: Human Computer Interaction, Deep Learning, DevOps, Mathematical Theory & Analysis, Mathematics, Computer Networking, Finance, Data Analysis, Human Factors (Security), Design and Product, Biostatistics, Business Analysis, Bioinformatics, Computational Logic, Software Security, Theoretical Computer Science, Probability & Statistics, Security Strategy, User Experience, Product Design, Network Security, Security Engineering, Risk Management, Machine Learning, Statistical Analysis, User Research, Product Lifecycle, Software Engineering, Software Testing, Regulations and Compliance, Software Architecture, Probability Distribution, General Statistics, Leadership and Management
4.8
(35 reseñas)
Intermediate · Course · 3-6 Months
Gratis
University of Cape Town
Understanding Clinical Research: Behind the Statistics
Habilidades que obtendrás: Data Analysis, Experiment, Statistical Hypothesis Testing, Basic Descriptive Statistics, General Statistics, Analysis, Business Analysis, Research and Design, Statistical Tests, Probability & Statistics, Probability Distribution, Statistical Analysis
4.8
(2.9k reseñas)
Mixed · Course · 1-3 Months
DeepLearning.AI
AI for Medical Diagnosis
Habilidades que obtendrás: Data Structures, Data Management, Deep Learning, Machine Learning Algorithms, Machine Learning, Computer Programming, Feature Engineering, Theoretical Computer Science, Algorithms, Applied Machine Learning, Computer Graphics, Artificial Neural Networks, Statistical Classification, Python Programming, General Statistics, Statistical Programming, Probability & Statistics
4.7
(1.7k reseñas)
Intermediate · Course · 1-4 Weeks
Imperial College London
Introduction to Statistics & Data Analysis in Public Health
Habilidades que obtendrás: Hypothesis Testing, Business Analysis, Analysis, Data Analysis, Chi-Squared Distribution, Hypothesis, Rstudio, Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Programming, General Statistics, R Programming, Statistical Tests
4.7
(1.2k reseñas)
Beginner · Course · 1-4 Weeks
Gratis

En síntesis, estos son los 10 cursos más populares medical statistics

Understanding Medical Research: Your Facebook Friend is Wrong: Yale University
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
Introduction to Statistics & Data Analysis in Public Health: Imperial College London
AI for Medical Prognosis: DeepLearning.AI
Medical Applications of Particle Accelerators (NPAP MOOC): Lund University
Medical Emergencies: Airway, Breathing, and Circulation: University of Colorado System
Medical Terminology III: Rice University

Preguntas frecuentes sobre Estadísticas médicas

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.‎

Se puso a disposición este contenido de preguntas frecuentes solo con fines informativos. Se les pide a los estudiantes que realicen investigaciones adicionales para asegurarse de que los cursos y otras credenciales cumplan con sus objetivos personales, profesionales y financieros.