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• About SIMSAM
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  • Nodes 2009-2013
• SINGS grad school
  • Elective courses
    • Advanced Demographic Methods 2 (SU)
    • Basic Demographic Methods (SU)
    • Biostatistics II: Logistic regression for epidemiologists (KI)
    • Causal inference for epidemiological research (KI)
    • Competing risks and multi-state models: concepts, methods and software (KI)
    • Epidemiology II: Design of epidemiological studies (KI)
    • Genetic epidemiology (KI)
    • Introduction to Quantitative Data Management and Statistics (SU)
    • Introduction to Stata for epidemiologists (KI)
    • Population Processes (SU)
    • Reproductive Epidemiology
    • Social Stratification (SU)
    • Study design in clinical research (KI)
    • Introductory course in SAS programming (KI)
    • Introduction to Stata for epidemiologists (KI)
    • Biostatistics I: Introduction for epidemiologists (KI)
    • Competing risks and multi-state models: concepts, methods and software (KI)
    • Epidemiology I: Introduction to epidemiology (KI)
    • Cardiovascular epidemiology (KI)
    • Biostatistics III: Survival analysis for epidemiologists (KI)
    • Epidemiology III: Analysis and interpretation of epidemiological data (KI)
    • Bias in observational studies – what can go wrong in Epidemiology? (LU)
    • Social Stratification (SU)
    • Population Development and Social Change (SU)
    • Advanced Demographic Methods 1 (SU)
    • Advanced methods in Epidemiology (UmU)
    • Life course epidemiology (GU)
    • Biostatistics part 1 (UmU)
    • Quantitative Research Methods for the Social Sciences (UmU)
    • Epidemiology (UmU)
    • Causal inference in register studies (UmU)
    • Environmental Epidemiology (UmU)
    • Environmental Health Risks (UmU)
    • Health economic evaluation methods (UmU)
    • Quantile regression GU
  • Past activities
  • SINGS activities autumn 2014
  • SINGS activities spring 2014
  • Course in Competing risks September 2013 at KI
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