Rating 4.45 out of 5 (25 ratings in Udemy)

• 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.