LFU:online

Successful participants have acquired the skills and knowledge in the planning, analysis and reporting of studies with standard designs for different outcome variables.

Linear regression models for simple and multifactorial study plans, interactions, with and without repeated measures, logistic regression, poisson regression, survival analysis, multilevel models, imputation of missing data, model fitting, representational theory of measurement, qualitative assessment of knowledge

Lecture with written assignments, exercise classes for statistical software

written exam, open questions

Bradburn MJ (2003) Survival analysis Part II. Br J Cancer 89, 431–436

Clark TG (2003) Survival analysis Part I. Br J Canc 89, 232–238

CHMP (2010) Guideline on Missing Data in Confirmatory Clinical Trials

CHMP (2019) Guideline on the Investigation of Subgroups in Confirmatory Clinical Trials

CHMP (2015) Guideline on Adjustment for Baseline Covariates in Clinical Trials

CHMP (2016) Guideline on Multiplicity Issues in Clinical Trials

Coxe S (2009) The analysis of count data. J Personality Assess 91, 121–136

Greenland S (1999) Causal diagrams for epidemiologic research. Epidemiology 10, 37–48

Hammer GP (2009) Avoiding bias in observational studies. Dtsch Ärztebl Int 106, 664–668

Hemming K (2017) How to design efficient cluster randomised trials. BMJ 358, j3064

Hernán M (2018) The c-word: scientific euphemisms do not improve causal inference from observational data. Am J Public Health 108, 616–619

Hooper R (2018) Analysis of cluster … at baseline. BMJ 360, k1121

Kuss O (2016) Propensity score. Dtsch Ärztebl Int 113, 597–603

Park HA (2013) An introduction to logistic regression. J Kor Acad Nurs 43, 154–164

Simmons JP (2011) False-positive psychology. Psych Sci 22, 1359–1366

Westreich D, Greenland S (2013) The Table 2-fallacy. Presenting and interpreting confounder and modifier coefficients. Am J Epidemiology 177, 292–298

Self-written summaries are provided.

Those who wish to purchase a textbook may consider, for example,

Bühner, M. & Ziegler, M. (2009). Statistik für Psychologen und Sozialwissenschaftler. Pearson Studium.

Kubinger, K.D., Rasch, D., & Yanagida, T. (2011). Statistik in der Psychologie: Vom Einführungskurs bis zur Dissertation. Göttingen: Hogrefe.