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