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Power analysis for personal light exposure measurements and interventions
Johannes Zauner
, Ljiljana Udovicic
,
Manuel Spitschan
Assistant Professorship of Chronobiology und Health
Technical University of Munich
Max Planck Institute for Biological Cybernetics
Bundesanstalt für Arbeitsschutz und Arbeitsmedizin
TUM CREATE
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
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Keyphrases
Power Analysis
100%
Light Exposure
100%
Exposure Measurement
100%
Bootstrap
42%
Exposure Data
28%
Required Sample Size
28%
Day-to-day Variability
28%
Activity Patterns
14%
Continuous Data
14%
Germany
14%
Dortmund
14%
Statistical Power
14%
Laboratory Measurements
14%
Geometric Mean
14%
Resampling
14%
Optical Radiation
14%
Well-being
14%
Novel Procedure
14%
Hierarchical Representation
14%
Background Light
14%
Log Data
14%
Exposure Study
14%
Well Performance
14%
Biobank
14%
As(III)
14%
Seasonal Differences
14%
Shift Work
14%
Mixed-effects Model
14%
Exposure Effects
14%
Logger
14%
Effective Techniques
14%
Light Dosimetry
14%
Human Circadian Rhythms
14%
Light Radiation
14%
Contrast Metrics
14%
Daily Pattern
14%
Dark Time
14%
Day Shift
14%
Seasonal Activity
14%
Geometric Standard Deviation
14%
Difference Pattern
14%
Mathematics
Power Analysis
100%
Standard Deviation
100%
Wide Range
50%
Geometric Mean
50%
Statistical Power
50%
Hierarchical Data
50%
Effect Size
50%
Data Structure
50%
Continuous Data
50%
Tested Sample
50%
Engineering
Metrics
100%
Field Study
50%
Collected Data
25%
Data Logging
25%
Early Day
25%
Effect Size
25%
Continuous Data
25%
Exposure Effect
25%
Germany
25%
Geometric Standard Deviation
25%
Earth and Planetary Sciences
Standard Deviation
100%
Field Study
100%
Bootstrapping
100%
Germany
50%
Physics
Dosimeter
100%