Abstract
This chapter describes several best practices for collecting, storing, analyzing, and writing up data generated from biobehavioral research. The goal is to provide a foundation for researchers who wish to consider more advanced topics of experimental design and statistical inference in their work. The principles considered here are general and apply to basic biobehavioral research using a variety of different model systems and animals. Common issues and pitfalls are discussed, and considerations draw on both traditional principles and newer ideas.
Original language | English (US) |
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Pages (from-to) | 323-374 |
Number of pages | 52 |
Journal | Neuromethods |
Volume | 94 |
DOIs | |
State | Published - Jan 1 2015 |
Keywords
- Analysis
- Best practices
- Biobehavioral
- Data
- Design
- Format
- Methods
- Research
- Statistics
- Style
- Write up
ASJC Scopus subject areas
- Neuroscience(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Pharmacology, Toxicology and Pharmaceutics(all)
- Psychiatry and Mental health