Eickhoff, Jens

Jens Eickhoff
Senior Scientist, Department of Biostatistics & Medical Informatics
Room & Building: 
K6/434 CSC

eickhoff [at] biostat.wisc.edu

Education & Research: 

Senior Scientist, Department of Biostatistics & Medical Informatics
Ph.D., 2002, Iowa State University

Research Interests
Clinical Trials; latent variable modeling; measurement error models; hierarchical and mixture models; adaptive designs, quality-of-life; application in cancer research.

Selected Publications
Search PubMed, for a complete list of publications by Jens Eickhoff.

Eickhoff JC, Kim KM, Beach J, Kolesar JM, Gee JR. A Bayesian adaptive design with biomarkers for targeted therapies. Clinical Trials. 7(5):546-56, 2010.

Shusterman S, London WB, Gillies SD, Hank JA, Voss S, Seeger RC, Reynolds CP, Kimball J, Albertini MA, Wagner B, Gan J, Eickhoff J, DeSantes KD, Cohn SL, Hecht T, Gadbaw B, Reisfeld RA, Maris JM, Sondel PM. Anti-tumor activity of hu14.18-IL2 in relapsed/refractory neuroblastoma patients: a Children's Oncology Group (COG) phase II study. Journal of Clinical Oncology. 28(33):4969-75, 2010.

Carrel AL, Myers SE, Whitman BY, Eickhoff J, Allen DB. Long-term growth hormone therapy changes the natural history of body composition and motor function in children with Prader-Willi syndrome. Journal of Clinical Endocrinology & Metabolism. 95(3):1131-6, 2010.

Varness T, Carrel AL, Eickhoff J, Allen DB. Prediction of insulin resistance by a field-based fitness test in middle-school children. International Journal of Pediatric Endocrinology. 487804, 2009.

Hank JA, Gan J, Ryu H, Ostendorf A, Stauder A, Sternberg A, Albertini M, Lo KM, Gillies SD, Eickhoff J, Sondel PM. Immunogenicity of the Hu14.18-IL2 immunocytokine molecule in adults with melanoma and children with neuroblastoma. Clin Cancer Research 15(18):5923-30, 2009.

McNeel DG, Dunphy EJ, Davies JG, Frye TP, Johnson LE, Staab MJ, Horvath DL, Straus J, Alberti D, Marnocha R, Liu G, Eickhoff JC, Wilding G. Safety and immunological efficacy of a DNA vaccine encoding Prostatic Acid Phosphatase (PAP) in patients with stage D0 prostate cancer. Journal of Clinical Oncology 27(25): 4047-54, 2009.

Wald ER, Nash D, Eickhoff J. Efectiveness of amoxicillin-clavulanate potassium in the treatment of acute bacterial sinusitis in children: A double-blind, placebo-controlled trial. Pediatrics 124(1): 9-15, 2009.

Nemeth BA, Carrel AL, Eickhoff J, Clark RR, Peterson SE, Allen DB. Submaximal treatment test predicts VO2max in overweight children. The Journal of Pediatrics 154(5):677-81, 2009.

Eickhoff JC. Placebo effect-adjusted assessment of quality of life in placebo-controlled clinical trials. Statistics in Medicine. To appear 2008.

Allen DB, Nemeth BA, Clark RR, Peterson SE, Eickhoff JC, Carrel AL. Fitness is a stronger predictor of fasting insulin levels than fatness in overweight male middle-school children. Journal of Pediatrics 150(4):383-7, 2007.

Wassenaar TR, Eickhoff JC, Jarzemsky DR, Smith SS, Larson ML, Schiller JH. Differences in primary care clinicians' approach to non-small cell lung cancer patients compared to breast cancer. Journal of Thoracic Oncology 2(8):722-8, 2007.

Kahl BS, Longo WL, Eickhoff JC, Zehnder J, Jones C, Blank J, et al. Maintenance rituximab following induction chemoimmunotherapy may prolong progression-free survival in mantle cell lymphoma: a pilot study from the Wisconsin Oncology Network. Annals of Oncology 17(9): 1418-23, 2006.

Osenga KL, Hank JA, Albertini MR, Gan J, Sternberg AG, Eickhoff JC, Seeger RC, Matthay KK, Reynolds CP, Twist C, Krailo M, Adamson PC, Reisfeld RA, Gillies SD, Sondel PM. A phase I clinical trial of the Hu14.18-IL2 (EMD 273063) as a treatment for children with refractory or recurrent neuroblastoma and melanoma: A Study of the Children’s Oncology Group. Clinical Cancer Research 12(6):1750-59, 2006.

Eickhoff JC. Quasi-maximum likelihood estimation for latent variable models with mixed continuous and polytomous data. Journal of Modern Applied Statistical Methods 4(2): 473-481, 2005.

Eickhoff JC, Amemiya Y. Latent variable models for misclassified polytomous outcome variables. British Journal of Mathematical and Statistical Psychology 58(2):359-75, 2005.

Eickhoff JC, Amemiya Y. Generalized linear latent variable modeling for multi-group studies. Communications in Statistics, Theory and Methods 34 (10): 1991-2008, 2005.

McNeel DG, Eickhoff JC, Lee FT, King DM, Alberti D, Thomas JP, Friedl A, Kolesar J, Marnocha R, Volkman J, Zhang J, Hammershaimb L, Zwiebel JA, Wilding G. Phase I trial of a monoclonal antibody specific for alphavbeta3 integrin (MEDI-522) in patients with advanced malignancies, including an assessment of effect on tumor perfusion. Clinical Cancer Research 11(21):7851-60, 2005.

Zhu J, Eickhoff JC, Yan P. Generalized linear latent variable models for repeated measures of spatially correlated multivariate data. Biometrics 61(3):674-83, 2005.

Eickhoff JC, Zhu J and Amemiya, Y. On the simulation size and the convergence of the Monte Carlo EM Algorithm via likelihood based distances. Statistics and Probability Letters 67 (2): 161-171, 2004.

Dunphy EJ, Eickhoff JC, Muller CH, Berger RE, McNeel DG. Identification of antigen-specific IgG in sera from patients with chronic prostatitis. Journal of Clinical Immunology 24(5):492-502, 2004.

King DM, Albertini MR, Schalch H, Hank J, Gan J, Surfus J, Mahvi D, Schilller JH, Warner T, Kim KM, Eickhoff JC, Kendra K, Reisfeld R, Gillies SD, and Sondel PM. A Phase I clinical trial of the immunocytokine EMD 273063 (hu14.18-IL2) in melanoma patients. Journal of Clinical Oncology 22(22):4463-73, 2004.

Zhu J, Eickhoff JC and Kaiser MS. Modeling the dependence between number of trials and success probability in beta-binomial-Poisson mixture distributions. Biometrics 59 (4): 955-961, 2003.

Courses Taught
Statistics 541, Introduction to Biostatistics (Fall 2003).
Statistics 441, Introduction to Biostatistics for Pharmacy (Spring 2006).


Clinical Trials; latent variable modeling; measurement error models; hierarchical and mixture models; adaptive designs, quality-of-life; application in cancer research.