experiment sandbox distributional design thinking

Cdb758075f7b54ea4ef646898497ecf3?s=47 cjlortie
September 16, 2019

experiment sandbox distributional design thinking

Variation, replication, and the general categories of experimental design are proposed.

Cdb758075f7b54ea4ef646898497ecf3?s=128

cjlortie

September 16, 2019
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  1. @cjlortie experiment sandbox resource: experimental design 4 the life sciences

    4e
  2. variation, replication, and designations

  3. goal is to minimize variation (or at least comprehend to

    some extent)
  4. response = dependent variable

  5. factor = independent variable

  6. random variation is inherent variation in a system that cannot

    be explained by the independent variables or factors
  7. between versus within variation patterns

  8. one solution is replication

  9. replication is repeated sampling typically on different subjects

  10. replication can be wide or narrow (defined as extent that

    the goal of replication is to sample inherent variation)
  11. what is a p-value?

  12. The p-value is the level of marginal significance within a

    statistical hypothesis test representing the probability of the occurrence of a given event. The p-value is used as an alternative to rejection points to provide the smallest level of significance at which the null hypothesis would be rejected.
  13. distributional (versus point) design thinking

  14. None
  15. None
  16. None
  17. distributional design thinking seeks to use replication to facilitate detection

    of ‘true’ differences between groups of subjects/samples
  18. design options a. simple random b. random stratified c. cluster

    d. convenience
  19. random versus haphazard & selection bias with external validity are

    key criteria to consider for better design thinking
  20. never neglect independence i.e. a measure on one subject should

    not predict/influence the measurement of another individual