Thursday, 2 May 2024, 8:37 AM
Site: iLearn - Lernmanagementsystem der Hochschule Deggendorf
Course: vhb Demo: English Competence and Research Training for Health Professionals_Alt (vhb Demo: English Competence and Research Training for Health Professionals_Alt)
Glossary: Glossary - Research Basics and Terminology
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- Classification scale; each person is assigned to one “type”
- Type of data: categorical, qualitative, discrete
- Example: blood type (A, B, 0), type of breath sound, type of arthritis, etc.
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- Data that is symmetrically distributed around a mean value
- Description of distribution via mean and standard deviation
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- Statistical hypothesis
- The population parameter is equal to the claimed value
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- The number of patients that need to be treated before one person would experience the desired outcome
- Number needed to treat to benefit: number of patients that need to be treated before one person would experience a beneficial outcome
- Example: NNT= 20: this means that 20 people need to be given a stroke prevention drug before one stroke can be prevented
- Number needed to treat to harm: number of patients that need to be treated before one person would experience a harmful outcome
- Example: NNT= 40: this means that 40 people can be treated with cardiac surgery before one person dies
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