Michael Höfler (PhD)
© M. Höfler
Michael Höfler (PhD)
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I am interested in metascience with the need for assumptions beyond the data. This raises issues such as causality, what is confirmation as opposed to exploration, and communication of scientific results.
Academic experience
| Since 2017 | Research associate, Chair for Clinical Psychology and Behavioral Neuroscience, Technische Universität Dresden, Dresden, Germany |
| 2006-2017 | Research associate, Institute for Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany |
| 1999-2005 | Research associate, research group Clinical Psychology and Epidemiology, Max Planck Institute for Psychiatry, Munich, Germany |
Education
|
2007 |
Dissertation (Dr.phil.; Ph.D.), Universität Basel, Switzerland |
| 1997 | Diploma in Statistics, Ludwig Maximilians Universität, Munich, Germany |
Publications
Selected methodical publications
Höfler M, Scherbaum S. Kanske P, McDonald B, Miller R. Means to valuable exploration I. The blending of confirmation and exploration and how to resolve it.
Höfler M. Bayesian Regions of Evidence (for normal distributions) (submitted)
Höfler M, Trautmann S, Kanske P. Qualitative approximations to causality: non-randomizable factors in clinical psychology. Clinical Psychology in Europe. 2021, 3(2), Article e3873
Höfler M, Trautmann S. Letter to the editor: When does selection generate bias in clinical samples? Journal of Psychiatric Research 2019; 116:189-190
Höfler M, Venz J, Trautmann S, Miller R. Writing a discussion section: how to integrate substantive and statistical expertise. BMC Medical Research Methodology 2018; 18:34
Höfler M, Hoyer J. Population size matters: bias in conventional meta-analysis. International Journal of Social Research Methodology 2014, 17: 585-597.
Höfler M, Gloster AT, Hoyer J. Causal effects in psychotherapy: Counterfactuals counteract overgeneralization. Psychotherapy Research 2010; 20:668-79
Höfler M, Lieb R, Wittchen HU. Estimating causal effect from observational data conditionally on a model for multiple bias. International Journal of Methods in Psychiatry Research 2007; 16:77-87.
Höfler M, Seaman SR. Re-interpreting conventional interval estimates taking into account bias and extra-variation. BMC Medical Research Methodology 2006; 6:51.
Höfler M. Getting causal considerations back on the right track. Emerging Themes in Epidemiology 2006; 3:8.
Höfler M. The Bradford Hill considerations on causality: A counterfactual perspective. Emerging Themes in Epidemiology 2005; 2:11
Höfler M. Causal inference based on counterfactuals. BMC Medical Research Methodology 2005; 5: 28.
Höfler M. The effect of misclassification on the estimation of association: a review. International Journal of Methods in Psychiatric Research 2005; 14: 92-101.
Talks
- "Observed power" und der Umgang mit Zufallsfehler
- Mit der Trennung von konfirmatorischer und explorativer Wissenschaft ernst machen
- Causal diagrams — eine qualitative Methode, um u.a. zu entscheiden, nach welchen Variablen man adjustieren muss
- Kausale Methoden zur Untersuchung des Klimawandels
- Umgang mit Extremwerten und Ausreißern
- Bayesianische Statistik: Welche Probleme löst sie und welche nicht?