Researchers and analysts are familiar with the famous 5% benchmark in statistics, the typical probability threshold at which a result becomes statistically significant. This week we look at some interesting 80% rules […]
Word of the Week
Type III Error
Type I and Type II errors in statistical analysis are specific and somewhat technical in nature. Type III error has various definitions, but all relate in some way to […]
You can find sample size calculators on the web, but they can lead you astray if you don’t know what you’re doing. Better find out the sample size you need before you do your study!
In this course, you will use your choice of specialized software such as R, Power and Precision, Nquery, plus others, and will learn how to:
Specify the factors that interact to determine sample size
Estimate unknowns needed to calculate sample size
Deal with paired data
Find sample size for a regression analysis
Use software to calculate sample size needed for tests of means, proportions
This online certificate program in biostatistics and epidemiology provides the skills needed to gather, analyze, and assess data for activities like clinical trials, medical research, and public health studies. This 10-course program – including seven required courses and three electives – covers the critical, statistical concepts used in medical and health sciences.
The core curriculum includes instruction at the graduate level, and is taught by leading experts in biostatistics and epidemiology. The certificate program includes a deep dive into biostatistics for medical science and public health, and mixes theory and practical application so you can apply your skills immediately at your current job or leverage them as you seek a new one.
You can choose your electives so as to focus on either epidemiology or randomized controlled trials.
Need to brush up on your stats? Enrollees in the certificate program can take our intro stats course, offered monthly, at no charge. We offer rolling admissions year-round so you can start right away.
See you in class!
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