Statistical light bulbpic SLB

On this page I present my unstructured thoughts about statistics and epidemiology from time to time.

Finding evidence in the context of uncertainty is challenging.

Population and sample (July 4, 2022)
Collinearity and confounding bias (February 11, 2022)
Role of variables in epidemiological studies (February 7, 2022)
Number converter between risks, incidences, percentages and decimals. (February 4, 2022)
Surprisal S-value: let's toss a coin to understand the value of a p-value (February 4, 2022)
Avoid categorization of a continuous variable (February 15, 2018)
Confusion caused by the p-value (November 17,2017)
Principles of statistical analysis (November 15, 2017)

Principles of statistical analysis

November 15, 2017

The statistical analysis should be designed in such a way that it can give an expert [or yourself (!)] an overview of the data and its processing within a reasonable time. The statistical analysis should be able to be tracked in its development and processing.

This leads to the following principles:

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