Mixed models - Samenvattingen en Aantekeningen

Democracy and the constitutional rule of law (elections are not necessarily democratic): representative, liberal and parliamentary democracy in Europe; Majoritarian versus consensus democracy: logic of power sharing versus power concentration and the institutional frameworks related with these models, including parliamentary versus presidential systems; Electoral systems: electoral formulae, number of districts and district magnitude/proportionality, control by political elites (gerrymandering...

With the help of this document, more than 100 pages, I got a 10 from the SPSS exam from the minor Medical Research to Clinical Practice. All the SPSS practicals are carefully described, with screenshots, shapes, colours and notes where you need to pay attention to. It is really important that you get used to using SPSS, especially with the more difficult analyses like mixed models, etc. I have done all practicals TWICE from A to Z. There is no time during the exam to look for any information...

All the practical information on clustered data and longitudinal data in a very compact version. How to apply the appropriate analysis step by step? How to interpret the results? - General information about Standard regression analysis (linear and logistic), Clustered data and Longitudinal data. Basic principles for both clustered and longitudinal data (linear and logistic), which are the Mixed model analysis (MMA), GEE-analysis, Growth curve analysis and Latent class growth models (LCGM).

Complete lecture notes of the theme statistics in the course Clinical Research in Practice (CRIP) of the master Biomedical Sciences at the LUMC. Lecturers from Bart Mertens.

This detailed handwritten summary on Optimization covers key concepts and methods from both lecture notes and tutorial notes. It includes topics such as linear optimization models, simplex methods, duality in optimization, sensitivity analysis, integer linear optimization, and dynamic programming. The notes also address advanced topics like integer and mixed-integer linear optimization, branch and bound methods, cutting plane algorithms, and linear network models. Each section is supported with ...

All the lectures of the course RM for HS elaborated. With notes and examples.

This detailed handwritten summary on Optimization covers key concepts and methods from both lecture notes and tutorial notes. It includes topics such as linear optimization models, simplex methods, duality in optimization, sensitivity analysis, integer linear optimization, and dynamic programming. The notes also address advanced topics like integer and mixed-integer linear optimization, branch and bound methods, cutting plane algorithms, and linear network models. Each section is supported with ...

This document provides a detailed breakdown of GLM, hypothesis testing, and model comparison, focusing on: 1. Understanding the General Linear Model (GLM) ️ How GLM extends regression to categorical & quantitative predictors ️ Using dummy variables to include categorical predictors ️ Interpreting regression coefficients for main effects & interaction effects 2. Hypothesis Testing & Model Comparison ️ t-Tests, Confidence Intervals, and F-Tests in GLM ️ Comparing Complete vs. ...

complete samenvatting van de colleges en aanvullende clips

Statistiek 3 hoorcollege aantekeningen HC 1 t/m HC 10 excl. interactief college