Logistic regression - Samenvattingen en Aantekeningen

Complete summary of all content of the Statistical Modelling in Medical Research course (BMs61). This includes a clear description of linear regression and logistic regression, as well as two types of variable selection; backwards elimination and forward selection. The summary provides a description of how to make these models and how to test whether a new model has higher prediction. Odds ratio calculations for logistic regression are provided as well.

Uitgebreide samenvatting van de lectures van Introduction to Machine Learning!

Summary of the 2 articles of week 7 of MCEV, for RUG-students. The summarized articles are: Neslin, S. A., Gupta, S., Kamakura, W., Lu, J., & Mason, C. H. (2006). Defection detection: Measuring and understanding the predictive accuracy of customer churn models. Journal of marketing research, 43(2), 204-211. Risselada, H., Verhoef, P. C., & Bijmolt, T. H. (2010). Staying power of churn prediction models. Journal of Interactive Marketing, 24(3), 198-208. Summary of the other weeks are also a...

Summary of all the lectures for the course introduction to research in marketing Aims to provide a clear overview of the most important topic in a comprehensive way

Hi, this summary consists of all the 14 lectures and tutorials for the course 'Causal Analysis Techniques'. It will give you all the information you need to pass your Causal Analysis Techniques exam, with tips on topics that the lecturer says are important for the exam. This summary is useful for both bachelor students and pre-master students. Good luck studying!

This is a complete summary for the second year psychology course 'Correlational Research Methods' , which includes all the book chapters (written in black), and all the lecture notes (written in blue) of the semester. I also did all the practice exercises, and added some extra notes and example to clarify difficult topics. Also includes SPSS output with detailed explanations.

Summary of all the lectures and web clips for the course Customer Analytics. Not in a bullet-list type of way so you have to figure everything out yourself, but in clear, concise language. This file contains all the material discussed in the lectures and web clips.

This summary contains all the lecture notes of the course statistics 1 from year 1 of Psychology and Pedagogy. I included the text on the slides plus the comments of the professor so that you have a perfect overview of all the material for the exam. The book was really not needed for this exam because I got an 8 with only studying the lecture notes.

Onderwerpen die in de samenvatting worden behandeld (Engels) zijn: linear regression (lineare regressies), discrete choice modelling (logistic regression), tijdsanalyse (temporal analysis/time series analysis) geostatistiek (geostatistics, spatial analysis), structural equation modelling (SEM), factor analysis. De samenvatting bevat naast een uitleg per thema ook een overzichtelijke tabel met de belangrijkste formules, interpretaties, model-fit waarden (Relevantie en significantie) en model...