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…
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…
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…
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…
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…
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…
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…
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 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.
my personal experience with life science and need for statistics to analyze data
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…