Biostatistics for you

This website aims to explain and compare methods and concepts from biostatistics using mathematics, examples from practice, and visualisation. 

Research can roughly be into the following types:

Descriptive Analysis:To summarize the data set without interpretation.

Exploratory Analysis:To find patterns, trends, or relationships to generate hypotheses.

Inferential Analysis: To estimate how findings in a sample hold for a larger population.

Predictive Analysis: To predict outcomes for individuals based on features.

Causal Analysis: To estimate what happens on average when one variable changes another (e.g. average treatment effect).

Mechanistic Analysis: Typically to establish how one variable deterministically influences another.

• Statistical evaluation measures

• p-values

• Brier score and scaled Brier score

• Pseudo R2 measures

• Calibration

References:

Leek, J., & Peng, R. D. (2015, February 26). What is the question? Science. https://doi.org/10.1126/science.aaa6146

Kiefer, J. C. (1987). Introduction to statistical inference (G. Lorden, Ed.). Springer.