Author: neurotroph

ASA statement on p-Values: Improving valid statistical reasoning

A lot of debate (and part of my thesis) revolve around replicability and the proper use of inferential methods. The American Statistical Association has now published a statement on the use and the interpretation of p-Values (freely available, yay). It includes six principles and how to handle p-Values. None of them are new in a theoretical […]

Mixing up Standard Errors and Standard Deviations

Over at the Non Significance blog, the author describes the case of a paper that has some strange descriptive statistics: What surprised me were the tiny standard deviations for some of the Variable 1 and 2, especially in combination with the range given. In the blog post, the author outlines his approach to make sense […]

Sorting Data independently before Regression

This thread on StackExchange is circling around my Twitter timeline today and I couldn’t resist sharing it here: Suppose we have data set (X_i, Y_i) with n points. We want to perform a linear regression, but first we sort the X_i values and the Y_i values independently of each other, forming data set(X_i, Y_j). Is […]

Good Science – Bad Science? Panel Discussion at the University of Cologne

After I found out about the panel discussion on Good Scientific Practice at the University of Cologne via Twitter, I joined yesterday to watch the discussion as it was closely related to my thesis’ topic. The panel was filled with five professors and one junior professors from different faculties1, whose positions were related to “good […]