# Biostatistics

- Page ID
- 3109

Biostatistics is the application of statistics to a wide range of topics in biology. It encompasses the design of biological experiments, especially in medicine, pharmacy, agriculture and fishery; the collection, summarization, and analysis of data from those experiments; and the interpretation of, and inference from, the results. A major branch is medical biostatistics, which is exclusively concerned with medicine and health.

- Book: Biological Statistics (McDonald)
- The goal in that class is to teach biology students how to choose the appropriate statistical test for a particular experiment, then apply that test and interpret the results. In my class and in this textbook, I spend relatively little time on the mathematical basis of the tests; for most biologists, statistics is just a useful tool, like a microscope, and knowing the detailed mathematical basis of a statistical test is as unimportant to most biologists as knowing which kinds of glass were used

- Book: Natural Resources Biometrics (Kiernan)
- The following chapters cover one- and two-way analysis of variance (ANOVA), including multiple comparison methods and interaction assessment, with a strong emphasis on application and interpretation. Simple and multiple linear regressions in a natural resource setting are covered in the next chapters, focusing on correlation, model fitting, residual analysis, and confidence and prediction intervals.
- 1: Descriptive Statistics and the Normal Distribution
- 2: Sampling Distributions and Confidence Intervals
- 3: Hypothesis Testing
- 4: Inferences about the Differences of Two Populations
- 5: One-Way Analysis of Variance
- 6: Two-way Analysis of Variance
- 7: Correlation and Simple Linear Regression
- 8:Multiple Linear Regression
- 9: Modeling Growth, Yield, and Site Index
- 10: Quantitative Measures of Diversity, Site Similarity, and Habitat Suitability
- Appendix

*Thumbnail: John Snow is famous for his investigations into the causes of the 19th century cholera epidemics, and is also known as the father of (modern) epidemiology. He began with noticing the significantly higher death rates in two areas supplied by Southwark Company. His identification of the Broad Street pump as the cause of the Soho epidemic is considered the classic example of epidemiology. Snow's map, demonstrating the spatial clustering of cholera deaths around the Broad Street well, provided strong evidence in support of his theory that cholera was a water-borne disease*