Bioassay performed in a microplate
Analysis of Bioassays
Recently, I went through the woods with one of my younger kids and it was amazed by the various colors of different mushrooms. Kids tend to touch almost everything and…
Weighted Regression — Is it cheating?
Linear and non-linear regression are key tools that scientist apply regularly to model their data. This ranges from setting up a linear calibration line up to modelling biochemical processes like…
How to use Excel’s LAMBDA Function for Data Analysis?
Recently, Microsoft introduced the so-called LAMBDA function allowing users to define custom Excel functions. The concept of user-defined functions in Excel is not new. However, in the past these had…
Logistic regression in vaccine testing
I guess almost every scientist is familiar with linear regression and has already spent quite some time using it for various assays like BCA or Bradford assay for protein concentration…
Data Analysis Book — fresh from the press
After 3.5 years of continous work, 3.5 years of lack of sleep and 3.5 years apologizing to my kids and my wife for spending too less time with them, my…
Most European countries did not show exceptional excess mortalities during SARS-CoV-2 pandemic
Currently many political discussions and decisions are dominated by new increasing SARS-CoV-2 cases. However, as these numbers are dependent on the precision of the corresponding tests it is wise to…
Confidence and Prediction bands in Regression analysis
What are confidence and prediction bands? [latexpage]The moment a scientist starts working experimentally, the outcomes are prone to random error that mostly cannot be avoided (e.g. imperfections of instruments etc.).…
Data Analysis in Natural Sciences: Five Common Challenges and Ways to Deal with Them
Data analytics is extremely important for extracting accurate and crucial information out of large mass of data for problem solving and judicious decision making in scientific research.
Introduction to Data Analysis for Natural Scientists
my personal experience with life science and need for statistics to analyze data
Spearman-Kärber analysis and the Creutzfeld-Jakob disease
A non-parametric analysis to determine the ED50, SD50 or similar metrics The first time I came across the term Spearman-Kärber was with the analysis of RT-QuIC. These assays are typically…