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Jens Eickhoff

Jens Eickhoff

Associate Scientist, Department of Biostatistics and Medical Informatics

Ph.D., 2002, Iowa State University

228 WARF Office Building
610 Walnut Street
Madison, WI 53726-2397

Phone: 608-265-8917
Fax: 608-263-0415
E-mail: eickhoff at biostat dot wisc dot edu

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 (For a complete list of publications click here)

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.

For a complete list of publications click here.

Courses Taught

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

 

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