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Karl Bang Christensen


Associate Professor, Department of Biostatistics, University of Copenhagen.

Click to see my CV, my publication list at orcid.org , or my official homepage.


Scientific interests: Item Response Theory models. Graphical Rasch models. Analysis of data from administrative registers of social transfer payments


Karl Bang Christensen
Department of Biostatistics
University of Copenhagen
Øster Farimagsgade 5, entr. B MAP
P.O. Box 2099
DK-1014 Copenhagen K
Office CSS 15.2.12
Phone: +45 35 32 74 91
Fax: +45 35 32 79 07

Teaching


PhD course: Introduction to SPSS
PhD course: use of SAS


Selected publications

Kreiner S, Christensen KB. Item Screening in Graphical Loglinear Rasch Models, Psychometrika 2011, 76, 228-256 link
Christensen KB, Kreiner S. Monte Carlo tests of the Rasch model based on scalability coefficients. Brit J Math Stat Psy 2010, 63, 101-11. link
Christensen KB, Labriola M, Lund T, Kivimäki M. Explaining the social gradient in long term sickness absence. A prospective study of Danish employees. J Epidemiol Commun H 2008, 62, 181-3. link
Christensen KB, Andersen PK, Smith-Hansen L, Nielsen ML, Kristensen TS. Analyzing sickness absence with statistical models for survival data. Scand J Work Env Hea 2007, 33, 233-9. link
Christensen KB, Kreiner S. A Monte Carlo test approach to unidimensionality testing in polytomous Rasch models. Appl Psych Meas 2007, 31, 20-30. link

Talks

The slides from my talk at the 12th Annual UK Rasch User Group Meeting.

The slides from my talk at the 6th international Rasch conference in Cape Town. January 2015.

The slides from my talk at the joint DSBS/FMS Meeting. October 2, 2014, Copenhagen

The slides from my talk at the 24th Nordic Conference of Mathematical Statistics (Nordstat), Umeå 2012

The slides from my talk at the International Workshop on Patient Reported Outcomes and Quality of Life, Paris 2011

The slides from my talk at the conference on Probabilistic models for measurement, Copenhagen 2010

The slides from my talk at the ISCB conference, Montpellier 2010

The SAS macro %jitter


The SAS macro %jitter creates scatter plots with 'jitter'

- - link
macro - jitter.sas
documentation - documentation

Please e-mail me if you have problems with this macro.

The SAS macro %lrasch_mml


The SAS macro %lrasch_mml fits a longitudinal Rasch model is described on the webpage http://biostat.ku.dk/~kach/lrasch.html

The SAS macro %multitrait


The SAS macro %multitrait is described on the webpage http://biostat.ku.dk/~kach/multitrait.html

The SAS macro %partialgamma


The SAS macro %partialgamma computes partial gamma coefficients

- - link
macro - partialgamma.sas
documentation - documentation

Please e-mail me if you have problems with this macro.

The SAS macro %rasch_cml


The SAS macro %rasch_cml that fits the polytomous Rasch model using conditional maximum likelihood (CML) is described on the webpage http://biostat.ku.dk/~kach/cml.html

The SAS macro %rasch_mml



The SAS macro %rasch_mml that fits the polytomous Rasch model using marginal maximum likelihood (MML) is described on the webpage http://biostat.ku.dk/~kach/mml.html

The SAS macro %weightedkappa


The SAS macro %weightedkappa computes weighted and unweighted kappa coefficients. The macro works for general tables where rows or columns can be missing.

- - link
macro - weightedkappa.sas
documentation - documentation

Please e-mail me if you have problems with this macro.

Other SAS macros

These macros are under development so any comment and/or question is welcome. Please e-mail me if you have problems with them.
Macro nameMacro linkMacro documentation
exp_digr.sasexp_digr.sasexp_digr.pdf
loevinger.sasloevinger.sasloevinger.pdf
lrdif.saslrdif.saslrdif.pdf
pml.saspml.saspml.pdf
rasch.sasrasch.sasrasch.pdf

Old SAS macros


As part of my ph.d. project I have developed a number of SAS macros for Rasch based latent variable modelling.

They are described in the manual and can be downloaded from the following page

These macros are currently being updated. The versions presented here are likely to work best under SAS 8, but most will also work under SAS 9. Please e-mail me if you have problems with them.


Last modified: December 17, 2013