# Summary Design And Analysis Of Biomedical Studies

##### Course
- Design and analysis of biomedical studies
- R. de Mutsert
- 2021 - 2022
- Universiteit Leiden (Universiteit Leiden, Leiden)
- Biomedische Wetenschappen
321 Flashcards & Notes
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• ## 1.1.2 Recap Statistics

This is a preview. There are 6 more flashcards available for chapter 1.1.2

• What is the difference between nominal, ordinal, continue and discrete?
Nominal = cannot be ordened
Ordinal = can be ordened
Continue = all numbers (with decimal)
Discrete = only whole numbers
• What characteristics can be used for numerical data?
Mean, SD, quantiles (25-75%)
• On which (mean, SD, quantiles, median) do outliers have a large influence?
Mean and SD
Quantiles and median are not sensitive
• What is the difference between SD and SE?
SE is the variation of the mean
SD is the variation of single measurements
• How is the confidence interval calculated?
Mean +- 1.96*SE
--> 95% confidence interval (alpha level of 5%)
• ## 1.2.1 Bioinformatic databases

This is a preview. There are 7 more flashcards available for chapter 1.2.1

• There are some requirements for a database regarding to data protection and management, which?
1. Audit trail - the database system logs what data was entered, modified and deleted when and by whom (what, when, who)
2. Information security - access to the data can be arranged. Think of: who can access (which parts of) the data
3. Dictionary - the database system includes a definition of variables, data formats (text, numeric, date etc.), coding of answer categories (1=yes, 0=no), missing value codes etc.
4. Structure - the data can be stored in multiple tables and the relations between tables are defined
• What is explicit data? And implicit?
Explicit = any information a consumer actively provides on their own (name, mail adress etc)
Implicit = information that is not provided intentionally but gathered from available data streams (e.g., information provided by browsing)
• Which data management system is used within the LUMC?
• ## 1.3.2 Design of experiment

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• How do you design an experiment?
1. Formulate research question
2. What is the study design (RCT, cross over etc)
3. What is the sample size, experimental control etc.
• What statistical test can be used to analyze data from a CRD?
T-test (2 groups)
one-way ANOVE (>2 groups)