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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94 Ergebnisse für „medical statistics“

Imperial College London
Statistical Analysis with R for Public Health
Kompetenzen, die Sie erwerben: Algebra, Analysis, Basic Descriptive Statistics, Bayesian Statistics, Business Analysis, Correlation And Dependence, Data Analysis, Econometrics, General Statistics, Hypothesis, Linear Regression, Linearity, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Probability Distribution, Regression, Statistical Analysis, Statistical Programming, Statistical Tests, Supply Chain
4.7
(1.5k Bewertungen)
Beginner · Specialization · 3+ Months
Kostenlos
Johns Hopkins University
Biostatistics in Public Health
Kompetenzen, die Sie erwerben: Algebra, Analysis, Biostatistics, Econometrics, Experiment, Feature Engineering, General Statistics, Hypothesis, Hypothesis Testing, Machine Learning, Mathematics, Probability & Statistics, Probability Distribution, Regression, Statistical Hypothesis Testing, Supply Chain and Logistics
4.8
(1.8k Bewertungen)
Beginner · Specialization · 3+ Months
Kostenlos
Imperial College London
Introduction to Statistics & Data Analysis in Public Health
Kompetenzen, die Sie erwerben: Statistical Programming, Analysis, Data Analysis, General Statistics, Hypothesis Testing, Probability Distribution, Probability & Statistics, Basic Descriptive Statistics, Statistical Analysis, Business Analysis, Hypothesis, Statistical Tests, Statistical Hypothesis Testing
4.7
(1.2k Bewertungen)
Beginner · Course · 1-4 Weeks
Kostenlos
Utrecht University
Clinical Epidemiology
Kompetenzen, die Sie erwerben: Data Analysis, Biostatistics, Data Structures, Econometrics, General Statistics, Business Analysis, Business Psychology, Accounting, Research and Design, Employee Relations, Leadership and Management, Computer Programming, Customer Analysis, Entrepreneurship, Probability & Statistics, Organizational Development, Mathematics, Epidemiology, Financial Accounting, Finance, Forecasting, Data Management, Communication, Business Communication, Theoretical Computer Science, Human Resources, Audit, Cash Management, Billing & Invoicing, Algebra, Calculus
4.8
(281 Bewertungen)
Intermediate · Course · 1-3 Months
Yale University
Introduction to Medical Software
Kompetenzen, die Sie erwerben: User Research, Software Architecture, Human Computer Interaction, Security Engineering, Probability & Statistics, Theoretical Computer Science, Design and Product, Network Security, Bioinformatics, General Statistics, Computer Networking, Security Strategy, Communication, Product Design, Finance, Software Engineering, DevOps, Human Factors (Security), User Experience, Software Testing, Regulations and Compliance
4.8
(18 Bewertungen)
Intermediate · Course · 3+ Months

Zusammenfassend sind hier 10 unserer beliebtesten medical statistics Kurse

Statistical Analysis with R for Public Health: Imperial College London
Understanding Clinical Research: Behind the Statistics: University of Cape Town
Biostatistics in Public Health: Johns Hopkins University
Introduction to Clinical Data: Stanford University
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
Introduction to Medical Software: Yale University
Design and Interpretation of Clinical Trials: Johns Hopkins University
Medical Cannabis: The Health Effects of THC and CBD: University of Colorado Boulder

Häufig gestellte Fragen zum Thema Medizinische Statistik

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.‎

Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.