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
Kursplansdatabas för forskarutbildningskurser
Public health intervention and implementation research, 2454
Implementation Research in Health, 5540
Pulmonary inflammation, 5562
Biology of Brain Tumors, 5517
Human Cell Culture. Methods and applications, 3127
Health risk assessment: principles and applications, 3125
Novel methods and approaches in health risk assessment, 2795
Adverse outcome pathways (AOPs)-principles and applications in toxicology and health risk assessment, 2986
Health risk assessment of endocrine disruptors, 5241
Epidemiologi I (för ST-läkare), 3128
Epidemiology I, 3128
Epidemiology II, 3138
Epidemiology III, 3129
Biostatistics I: Introduction for epidemiologists, 3042
Analysis of genome wide association data, 2767
Causal inference from observational data: emulating a target trial to assess comparative effectiveness, 3046
Fundamentals of statistical modeling, 2959
Analysis of bias in register-based research, 2864
Causal inference from observation data, 2462
Central concepts, designs and methods in epidemiological and sociological life course research, 2556
Ethical and legal aspects on using personal information in register-based research, 2439
Writing and presenting successful grant applications, 2938
Longitudinal research methods: panel, growth curve, and sequence analysis, 2965
Introduction to spatial methods, 2962
Methods for life course epidemiology, 2968
Key concepts and principles for design and critical interpretation of Nordic register-based studies, 3199
Key Concepts and Principles for Design and Critical Interpretation of Register-based Studies, 5401
Transporting Treatment Effects from Randomized Trials to Target Populations, 5649
Introduction to Machine Learning, 5650
Diagrams for Causal Inference from Observational Data, 5665