GZW3024 - Voortgezette Statistiek en Methoden van Onderzoek
Bachelor Gezondheidswetenschappen Maastricht University
4.48 (78 reviews)
230
students
6.5 hours
content
Mar 2025
last update
$19.99
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What you will learn
Alles wat je moet weten voor het tentamen GZW3024. Hieronder heb ik de eindtermen gekopieerd uit het blokboek. Deze komen allemaal aan bod
Features, pros and cons, and applications of important experimental and observational designs, including nested, quasi-experimental and cross-over designs;
Selection bias (dropout, non-response), information bias (non-differential and differential) and confounding;
The concepts effect-modification and interaction;
Multiple linear and logistic regression analysis (confounding factors, effect modification, model selection, dummy variables, test statistics);
Relation between multiple linear regression and ANOVA and ANCOVA;
Relation between (multiple) logistic regression and cross table analysis;
Linear mixed regression as a technique for dependent observations (“compound symmetry” and “unstructured covariance models”);
ifferent forms of reliability, validity and agreement and their relations, including validity and reliability of diagnostic and screening tests;
Reliability (test-retest, Cronbach’s α, Spearman-Brown), validity (correction for attenuation), determining agreement (intraclass correlation, kappa);
Relation between sample size, power of a test, type I error rate and effect size;
Methods of sampling and techniques to determine the minimally required sample size (two or more independent samples for a continuous and dichotomous outcome);
Different forms of and selection strategies for systematic literature research (systematic review and meta-analysis);
Methods to interpret the results of a systematic literature review (forest plot, funnel plot, pooled effect estimates);
Relation between a research question, number and measurement levels of variables, choice of a design, selection of instruments and choice of analysis technique.
Calculating and interpreting measures of association in the context of different research designs;
Performing linear, logistic and a (simple) linear mixed-effects regression in the statistical package SPSS;
Performing a stratified and multivariate analysis to examine confounding and effect- modification;
Applying techniques for research into reliability and validity, and for examining agreement, within the statistical package SPSS;
Assessing the quality of diagnostic and screening tests;
Performing simple sample size calculations with the computer program Gpower;
Making a motivated choice from different research designs and analysis techniques for addressing a health sciences research question;
Understanding methodological and statistical aspects of a simple scientific article.
Related Topics
3380384
udemy ID
7/30/2020
course created date
8/27/2020
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