
Read in: English
Tips for testing or estimating
How can we cut the cost of tests or estimate the size of groups of infected people without knowing which ones they are? Here are a few tricks!


How can we cut the cost of tests or estimate the size of groups of infected people without knowing which ones they are? Here are a few tricks!


Articles recommended for you.

When faced with what seems to be the start of an epidemic, how can we predict how it will develop and spread geographically? Mathematical models attempt to answer these questions.

Statistics (like probability theory) is a fascinating field full of paradoxes. These anomalies are usually harmless and inconsequential. Yet they become dangerous when medical researchers or practitioners stumble over statistical logic and make risky decisions based on misleading intuitions...

The current pandemic reminds us that mathematical models are built up in stages, from scientific assumptions and the available data. They are not objects in the real world, but abstractions. Their reliability can be established only by comparing them with reality.

Statistical tests are invaluable for assessing a hypothesis about a population from observations of a random sample. But they are also the source of many errors. Let's learn how to avoid them—in both methodology and the interpretation of results!
Discussion
Sign in to post a comment and talk with other readers.
No comments yet. Be the first to respond.