An Introduction to Statistics with Python pp 75-88 | Cite as
Background
Chapter
First Online:
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Abstract
This chapter serves to define the statistical basics, like the concepts of populations and samples, and of probability distributions. It also includes a short overview of study design, a topic often seriously underestimated by many beginning researchers.
Keywords
Probability Density Function Probability Mass Function Subject Comparison Discrete Probability Distribution Nuisance Factor
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
- Kaplan, R. M., & Irvin, V. L. (2015). Likelihood of null effects of large nhlbi clinical trials has increased over time. PLoS One, 10(8):e0132382. doi:10.1371/journal.pone.0132382. http://dx.doi.org/10.1371/journal.pone.0132382 CrossRefGoogle Scholar
- Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1):41–55.MathSciNetCrossRefzbMATHGoogle Scholar
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© Springer International Publishing Switzerland 2016