Given a diagnostic test with sensitivity 0.90 and specifity 0.95. Then, with a prevalence of 0.02, in medical practice 27% of the positive tests will be right and 73% of the positive tests will be wrong.

Die OECD-Daten zeigen, dass das US-Gesundheitssystem nicht mit dem Rest der Welt mithalten kann. Es ist das teuerste System, gefolgt von der Schweiz.

Von der Bevölkerungspyramide zur Bevökerumgstanne - Dynamik von Geburten und Bevölkerungsentwicklung in der Schweiz von 1876 bis 2014

We provide a simple sampling engine which allows to generate random numbers that are distributed as an empirical and arbitrary distribution given as a data array.

We reproduce numerically the meaning of the confidential intervall

A highly parametrized schema to estimate the energy fluxes of the atmospheric surface layer

How to create Python loops in the date-time format

We check out which numerical schema is most useful for the temporal integration of one generation of a population.

A first glance at the numerical analysis of decision trees for medical decision making

We simulate a multi center study of a diastolic blood pressure decreasing drug.

We introduce a basic schema in computational fluid dynamics for solving the 2dimensional heat equation with a source term and constant diffusivities on an equidistant rectangular grid.

The pressure correction method is presented as Lagrange multiplier method to satisfy mass conservation

By performing linear regression by a Monte Carlo method we get an estimate (mean, standard deviation, standar error) of the slope and the intercept.

We use a Monte Carlo method with a code of 6 lines for the integration of mathmatical functions. In the case of a circle we can determin π.

As a first example for numerical statistics we introduce bootstrapping which belongs to the class of Monte Carlo methods.

A short guide how to create a Pelican website for blogs with Jupyter

Vectorized Python code to generate grids for airfoils

Vectorized Python code to generate basic rectangular grids

Vectorized Python code to generate basic rectangular grids

Elementary methods for data flow and statistics with Python, Pandas, NumPy, StatsModels, Seaborn, Matplotlib

Elementary methods for data flow and statistics with Python, Pandas, NumPy, StatsModels, Seaborn, Matplotlib

We use Python to draw some distributions

We use a simple contingency table to deduce Bayes rule

By summarizing the rules of probability we build a bridge to the Bayesian formula