Publications in Statistical Genetics

• High breast cancer risk in first degree relatives of CHEK2*1100delC positive familial breast cancer cases (M.A. Adank, ....., M.A. Jonker, Hanne Meijers-Heijboer) In preparation
  
• Incorporating sensitivity of diagnostic tests in estimation methods with interval censored data (B. I. Witte, M. A. Jonker, J. Berkhof) In preparation
  
• CHEK2*1100delC homozygosity is associated with a high breast cancer risk in women. Journal of Medical Genetics doi:10.1136/jmedgenet-2011-100380 (M.A. Adank, M.A. Jonker, I. Kluijt,... A.W. van der Vaart, H. Meijers-Heijboer, Q Waisfisz)
  
• Renal Cancer Risk and pneumothorax risk in BHD syndrome; an analysis of 115 FLCN mutation carriers from 35 BHD families. Britisch Journal of Cancer (2011) 105, 19121919. doi:10.1038/bjc.2011.463 (A.C. Houweling, L.M. Gijezen, M.A. Jonker, .... , F.H. Menko)
  
• On the localisation of rare causal variants in a case-control association study. submitted (M.A. Jonker, Z. Bochdanovits, A.W. van der Vaart)
  
• Estimating and Testing Linkage Disequilibrium from Sib Data. Statistica Neerlandica, Vol. 65, nr. 3, pp. 239-258; 2011 (M.A. Jonker, Z. Bochdanovits, D.I. Boomsma, A.W. van der Vaart)
• A frailty model for (interval) censored family survival data, applied to the age at onset of non-physical problems, Lifetime data analysis, 16: 299-315; 2010  (M.A. Jonker and D.I. Boomsma)
  
• Gamma frailty model for linkage analysis with application to interval censored migraine data. Biostatistics 10: 187-200; 2009.  (M.A. Jonker, S. Bhulai, R.S.L. Ligthart, D. Posthuma, D.I. Boomsma, A.W. van der Vaart)
• Correlated Gamma Frailty Model for Linkage Analysis on Twin Data with Application to Interval Censored Migraine Data. Proceedings for the Workshop on Statistical Modeling in Utrecht 2008 (M.A. Jonker, S. Bhulai, R.S.L. Ligthart, D. Posthuma, D.I. Boomsma, A.W. van der Vaart)
• Mammography for women under age 50 with a familial predisposition for breast cancer. Report Leiden: Leiden University Medical Center, January 2005. (Statisticians: M.A. Jonker, N.J.D. Nagelkerke, J.C. van Houwelingen, Physicians: C.E. Jacobi, W.E. Hoogendoorn, G.H. de Bock,)
• A breast cancer prediction model. Statistics in Medicine 24(10): 1610-1612, 2005. (G.H. de Bock, C.E. Jacobi, M.A. Jonker, N.J.D. Nagelkerke, J.C. van Houwelingen).
• Risk estimation for healthy women from breast cancer families: new insights and new strategies.Cancer Epidemiology, Biomarkers & Prevention, Vol 13, 87-93 2004. (C.J. van Asperen, M.A. Jonker, J.E.M. van Diemen-Homan, E. Bakker, M.H. Breuning, J.C. van Houwelingen, G.H. de Bock).
• Screening women under age 50 with a family history of breast cancer: recommendations for general practice. Ejc Supplements 2(3): 117, 2004 (Jacobi, C. E. and Nagelkerke, N. J. D. and Jonker, M. A. and van Houwelingen, J. C. and de Bock, G. H.)
• Prevalence of family histories of breast cancer in the general population and the incidence of related seeking of health care.  Journal of Medical Genetics; 40 e83, 2003. (C.E. Jacobi, M.A. Jonker, N.J.D. Nagelkerke, J.C. van Houwelingen, G.H. de Bock).
• Modeling familial clustering breast cancer using published data. Cancer Epidemiology, Biomarkers & Prevention, Vol 12, 1479-1485, 2003. (M.A. Jonker, C.E. Jacobi, W.E. Hoogendoorn, N.J.D. Nagelkerke, G.H. de Bock, J.C. van Houwelingen)
• Little value from including cousins in individual risk assessment of hereditary breast cancer. A simulation study. Journal of Medical Genetics, 40: e25, 2003. (M.A. Jonker, G.H. de Bock, W.E. Hoogendoorn, C.J. van Asperen, J.C. van Houwelingen).

• A data and model-driven approach to explore inter-subject variability of resting state brain activity using EEG-fMRI.  IEEE Transactions on Signal Processing, Special Issue on fMRI Analysis for Human Brain Mapping,  Vol 2, Is. 6,  944 - 953, 2008 (Gonçalves SI, Bijma F, Pouwels, PWJ, Jonker MA, Kuijer JPA, Heethaar RM, Lopes da Silva FH, De Munck JC)
• Inter-subject variability of resting state brain activity explored using a data and model-driven approach in combination with EEG-FMRI. Proceedings of Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium, 608-611 (Gonzalves, S.I.   Bijma, F.   Pouwels, P.J.W.   Jonker, M.A.   Kuijer, J.P.A.   Heethaar, R.M.   da Silva, F.H.L.  de Munck, J.C.)

• Estimation of Life Expectancy of tenants in the Middle Ages. Mathematical Population Studies 16(2), 1-23, 2009  (M.A. Jonker)
• Correcting missing-data bias in historical demography. Population Studies, Vol 61, No 1, 1-15, 2007 (M.A. Jonker and A.W. van der Vaart)
• Estimation of average mortality under censoring and truncation.  journal of population research, vol 22, no 1,  49-62, 2005 (M.A. Jonker and A.W. van der Vaart)
• Differential Infant and Child Mortality in Three Dutch Regions, 1812-1912. EcHR (the Economic History Review) vol 58, no 2, 272-309, may 2005 (F. van Poppel, M.A. Jonker and K. Mandemakers)
• Estimation of life-expectancy in the Middle Ages. Royal Statistical Society, Series A; volume 166, issue 1, 105-117, 2003. (M.A. Jonker)
• Maximum likelihood estimation of life-span based on censored and passively registered historical data. Lifetime Data Analysis. vol. 9, 33-54, 2003 (M.A. Jonker)
• Citizens buried in the 'Sint Janskerkhof'of the 'Sint Jans'cathedral of 's-Hertogenbosch in the Netherlands. ca.1450 and 1830-1858 AD,Barge's Anthropologica Nr.8 (pp ca.50), Leiden, 2002. ISBN: 90-806456-3-X.Published by: Barge's Anthropologica, LUMC, P.O.Box: 9602, 2300 RC, The Netherlands. (G.J.R. Maat, R.W. Mastwijk, M.A.Jonker)
• A semi-parametric model for censored and passively registered data. Bernoulli 7(1), 1-31, 2001. (M.A. Jonker, A.W. van der Vaart)
• Statistical Estimation of Life-length in Historical Demography. PhD thesis, Vrije Universiteit Amsterdam. 2000. (M.A. Jonker)