EDEG 2025: Pre-conference workshop, 17 May

New book (December 2020): Epidemiology with R

Draft book (in progress): Practical Multistate Modeling with R and Epi::Lexis

Contact information:

E-mail:		b@bxc.dk - forwards correctly to my current mail My previous mail, bxc@steno.dk is disused. My new mail as of 1 January 2017 is bendix.carstensen@regionh.dk or bcar0029@regionh.dk
Snail mail:		Steno Diabetes Center Copenhagen Borgmester Ib Juuls Vej 83 DK - 2730 Herlev Denmark
Tel:		(+45) 30 91 29 61 (since 1 January 2017)
Map location:		"55.729863, 12.441210"

Career:
Senior Statistician, Steno Diabetes Center, 1999-
Senior Statistician, Danish Veterinary Laboratory, 1995-1999
Statistician, Danish Cancer Registry, 1984-1995
Research assistant, Statistical Research Unit 1983-84
Cand. scient. (MSc), mathematical statistics 1983, University of Copenhagen

Selected papers.

CV as pdf-file Last modified: August 2024
Short CV. Last modified: February 2024
Very short CV. Last modified: August 2024
Dansk CV. Sidst opdateret: Maj 2017

• Example uses of Lexis for multistate analyses
• Modern Demographic Methods in Epidemiology - various other stuff in this realm.

Teaching

• Statistical Practise in Epidemiology using R.
• Epidemiology for medical PhD-students (Department of Biostatistics, University of Copenhagen)
• Modern Demographic Methods in Epidemiology
• IDEG 2019 training day: Survival, Multiple timescales and Competing risks
• Survival models and Poisson-regression for SDCC
• Age-Period-Cohort models
• Nordic Summer School in Cancer Epidemiology.

Notes

• Who needs the Cox model anyway? with corresponding R code
  - and an old preprint version.
  Slides from Steno Epi & Biostat seminar 12 March 2010 and (3-ups)
• Multiple time scales in rate models using Poisson and Cox regression with corresponding R code
  
• A note on repeated measures analysis and conditioning on baseline measurement

Talks

• Steno Epi & Biostat seminar 12 March 2010 and (3-ups)
• An APC Analytic Approach to Analyzing and Predicting National Trends in Diabetes Incidence over Time, Emory University / CDC, Atlanta, June 17-18 2019.
  Handouts as 3-ups are here
• Analysis of multistate data with realistic rate models and multiple time scales: A dogmatic approach
• A somewhat longer version, IARC, April 2018: (handouts)
• Why R-squared is meaningless, (8-ups), Steno Diabetes Center Copenhagen.

Software

• Examples and programs for splitting follow-up time in cohort studies.
• Epi: A package for epidemiological analysis using R.
• An experimental R-package for analysis of method comparison experiments. R.