Forskarutbildningsprogram och kurser
Vid IMM finns ett doktorandprogram och en forskarskola.
Doktorandprogram i Epidemiologi
Nationell tvärvetenskaplig forskarskola i registerbaserad forskning (SINGS)
NordForsk graduate education courses, avslutad forskarskola som arrangerades av IMM under åren 2019-2021.
Kurser på doktorandnivå som ges av IMM
Implementation Research in Health, C6F5540
Pulmonary inflammation, C6F5652
Biology of Brain Tumors, C6F5517
Human Cell Culture. Methods and applications, C6F3127
Health risk assessment: principles and applications, C6F3125
Novel methods and approaches in health risk assessment, C6F2795
Adverse outcome pathways (AOPs)-principles and applications in toxicology and health risk assessment, C6F2986
Endocrine disruptors - Identification and assessment, C6F5241
Epidemiologi I (för ST-läkare), C6F3128
Epidemiology I, C6F3128
Epidemiology II, C6F3138
Epidemiology III, C6F3129
Biostatistics I: Introduction for epidemiologists, C6F3042
Analysis of genome wide association data, C6F2767
Causal Inference: Emulating a target trial to assess comparative effectiveness, C6F3046
Fundamentals of statistical modeling, C6F2959
Analysis of bias in register-based research, C6F2864
Causal inference from observation data, C6F2462
Central concepts, designs and methods in epidemiological and sociological life course research, C6F2556
Ethical and legal aspects on using personal information in register-based research, C6F2439
Writing and presenting successful grant applications, C6F2938
Longitudinal research methods: panel, growth curve, and sequence analysis, C6F2965
Introduction to spatial methods, C6F2962
Methods for life course epidemiology, C6F2968
Key concepts and principles for design and critical interpretation of Nordic register-based studies, C6F3199
Key Concepts and Principles for Design and Critical Interpretation of Register-based Studies, C6F5401
Transporting treatment effects from randomised trials to target populations: Casual inference for external validity, C6F6031
Introduction to Machine Learning, C6F5650
Diagrams for causal inference from observational data, C6F5665