Explore >> Select a destination
|
You are here 
|
statsandr.com | ||
| | | | |
www.r-bloggers.com
|
|
| | | | | We're excited to introduce a new power analysis module for jamovi, designed to simplify and enhance your research planning. This module supports a broad range of statistical tests, making it a useful tool for researchers across various fields. Whether you're conducting ANOVA, regression, mediation analysis, t-tests, correlation, proportions, general linear models, or Structural Equation Models (SEM), this module allows you to perform robust power analyses in one convenient place. | |
| | | | |
www.johnmyleswhite.com
|
|
| | | | | One of the misuses of statistical terminology that annoys me most is the use of the word "correlation" to describe any variable that increases as another variable increases. This monotonic trend seems worth looking for, but it plainly is not what most people discover when they use standard correlation coefficients. This is because the Pearson product moment correlation coefficient, which is usually the only correlation coefficient students learn to calculate, is strongly biased towards linear trends: tho... | |
| | | | |
fharrell.com
|
|
| | | | | Many researchers worry about violations of the proportional hazards assumption when comparing treatments in a randomized study. Besides the fact that this frequently makes them turn to a much worse approach, the harm done by violations of the proportional odds assumption usually do not prevent the proportional odds model from providing a reasonable treatment effect assessment. | |
| | | | |
serengil.wordpress.com
|
|
| | | Sigmoid function (aka logistic function) is moslty picked up as activation functionin neural networks.Because its derivative is easy to demonstrate. It produces output in scale of [0 ,1] whereas input is meaningful between [-5, +5]. Out of this range produces same outputs.In this post, we'll mention the proof of the derivative calculation. Sigmoid function is... | ||
