About us  
The Department of Statistics at TNO Quality of Life has been applying multiple imputation since 1990. The department specializes in imputation of multivariate social-medical and epidemiological data.
Imputation projects
Blood pressure and mortality in the oldest old
Record linkage of CBS Health Survey and GLOBE
  • van Buuren S, Perenboom RJM, Rhodes MGH, Boshuizen HC. (1998) Gehandicapten Informatie DoorDenk Systeem. GIDS prototype eigen betalingen. TNO Rapport, PG98.014.
AVO 1995 Survey
Missing data machine
  • Brand, J.P.L. (1999). Development, Implementation and Evaluation of Multiple Imputation Strategies for the Statistical Analysis of Incomplete Data Sets. Ph.D. Thesis, Erasmus University Rotterdam.
  • Brand, J.P.L., van Buuren, S., van Mulligen, E.M., Timmers, T. and Gelsema, E. (1994). Multiple Imputation as a Missing Data Machine. In Ozbolt, J.G. (Ed.), Proceedings of the Eighteenth Annual Symposium on Computer Applications in Medical Care (SCAMC), 303-307. Hanley and Belfus, Inc., Philadelphia, PA.
  • van Buuren, S., van Mulligen E.M. and Brand, J.P.L. (1994). Routine Multiple Imputation in Statistical Data Bases. In J.C. French and H. Hinterberger (Eds.), Proceedings of the Seventh International Working Conference on Scientific and Statistical Database Management, Charlottesville, VA, Sept. 28-30, 1994, 74-78. IEEE Computer Society Press, Los Alamitos, CA.
  • van Buuren, S., van Mulligen, E.M. and Brand, J.P.L. (1995). Omgaan met ontbrekende gegevens in statistische databases: Multiple imputatie in HERMES (in Dutch). Kwantitatieve Methoden, 50, 5-15.
  • van Buuren, S., van Rijckevorsel, J.L.A. and Rubin, D.B. (1993). Multiple Imputation by Splines. Bulletin of the International Statistical Institute, Contributed Papers II, 503-504.
Determinants of falling accidents
  • Wijlhuizen GJ, Radder J, Rijckevorsel JLA van, Brand JPL, Bouter L. (2000) Common determinants of accidents among the elderly. In preparation.
DLO working circumstances
  • van Buuren, S. and van Rijckevorsel, J.L.A. (1992). Imputation of missing categorical data by maximizing internal consistency. Psychometrika, 57, 567-580.
  • van Buuren, S. and van Rijckevorsel, J.L.A. (1992). Nonresponse imputation in public health research. In J.L.A. van Rijckevorsel and C.C.J.H. Bijleveld (Eds), A reader on applying statistics in public health and prevention, 33-57. NIPG publikatienummer 92.036, NIPG-TNO, Leiden.
Revision of the ICIDH
  • van Buuren S, Hopman-Rock M (2001). Revision of the ICIDH Severity of Disabilities Scale by data linking and item response theory. Statistics in Medicine, 20, 1061-1076.
  • Hopman-Rock M, van Buuren S, de Kleijn-de Vrankrijker M (2000). Polytomous Rasch analysis as a tool for revision of the severity of disability code of the ICIDH. Disability and Rehabilitation, 22, 363-371.
  • van Buuren, S., Hopman-Rock, M. and Miedema, H.S. (1996). The development of a proposal for revision of the Severity of Disabilities Scale of the ICIDH. TNO Preventie en Gezondheid, TNO report PG 96.067.
Ill-conditioned data (INTAS)
  • van Rijckevorsel, J.L.A. (1999). Final report INTAS on ill-conditioned data in the former Soviet Union. TNO report PG, 99.025.
  • van Buuren, S. (1995). Techniques for data quality problems in relating pollution and health in the Former Soviet Union. Internal report.
  • Visit the Center for Handling Ill Conditioned Data (CHILD) of our Russian partners.
Drop-outs Van Wiechenschema
  • Verkerk PH, Reerink JD, van Buuren S, Herngreen WP & Verloove-Vanhorick SP (1997). Use of alcohol, cigarettes or psychofarmace during pregnancy and child development and behaviour in the first two years of life. In PH Verkerk, Alcohol, pregnancy and child development (pp. 61-76), TNO Prevention and Health, Leiden.
MICE
Need help?
We consult in incomplete data problems in the field of public health and in social-medical applications. This is a paid service. Contact Stef van Buuren for details.
More information?
S. van Buuren, PhD (Head)
TNO Prevention and Health
Department of Statistics
P.O. Box 2215
2301 CE Leiden
Voice: +31 71-5181802 (SvB)
Fax: +31 71-5181920