How biostatistics makes biological evidence meaningful

Biostatistics is closely related to medical statistics. These lessons answer how statistical reasoning helps make biological evidence meaningful and support conclusions in research. They move through sampling, experimental design, and the challenges of interpreting complex data.

2 articles, 1 book · about 30 min of reading and viewing

The reading path

1. Read
   biostatistics · Wikipedia · 28 min read

   In biostatistics, it is not possible to take measures from all the elements of a population. Because of that, the sampling process is very important for statistical inference. In high-throughput biostatistics, multicollinearity often occurs: predictors such as gene expression levels can be so highly intercorrelated that the information in one predictor might be contained in another. Careful analysis with biostatistical methods is required to separate the signal from the noise.

2. Read
   

   Statistics study guide: biostatistics, sampling, experiments | Notes · pearson.com · 2 min read

   Biostatistics provides the framework for making evidence-based conclusions in medical and public health research. It helps answer questions such as whether a new drug reduces pain in patients with sickle cell disease.

3. Book
   

   The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century · Bookshop.org

   The Lady Tasting Tea by David Salsburg discusses how statistics changed twentieth-century science through the theories and ideas of famous scientists and thinkers.

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