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Kevin K. Dobbin

College of Public Health

University of Georgia

Athens, GA 30602

dobbinke “at” uga “dot” edu


 

Department Page

 

CV

 

Software

 

Program to accompany Ionan et al. (2014):

GCIandMLSfunctionsinR

Program to accompany Dobbin and Song (2013):

HDTolEstMBwebsite

Program to accompany Dobbin and Cooke (2011)

RprogramAROHILloweraccuracybound

 

Publications

  1. Dobbin K.K. (in press)  Immune Monitoring Technology Primer:  Clinical Validation for Predictive Markers.  Journal of Immunotherapy of Cancer.
  2. Liu D., Xiong H., Ellis A.E., Northrup N.C., Dobbin K.K., Shin D.M., Zhao S. (in press)  Canine spontaneous head and neck squamous cell cardcinomas represent their human counterparts at the molecular level.  PLoS Genetics.
  3. Safo S., Song X. and Dobbin K.K. (2015)  Sample size determination for training cancer classifiers from microarray and RNAseq data.  Annals of Applied Statistics, 9(2): 1053-1075.
  4. Sekandi J.N., Dobbin K.K., Oloya J., Okwera A., Whalen C.C., Corso P.S. (2015) Cost-effectiveness analysis of community active case finding and household contact investigation for tuberculosis case detection in urban Africa.  PLoS One, 10(2):e0117009.  DOI: 10-1371/journal.pone.0117009.
  5. Dobbin K.K. and Ionan A.C. (2015) Sample size methods for constructing confidence intervals for the intra-class correlation coefficient.  Computational Statistics and Data Analysis, 85: 67-83.  DOI: 10.1371/j.csda.2014.11.010.
  6. Ionan A.C., Polley M.C., McShane, L.M., Dobbin, K.K. (2014)  Comparison of confidence interval methods for an intra-class correlation coefficient (ICC).  BMC Medical Research Methodology, 2014, 14:121.  DOI: 10.1186/1471-2288-14-121.
  7. Ahn J., Lee J., Dobbin K.K., (2014) Covariance adjustment for batch effect in gene expression data. Statistics in Medicine, 33(15): 2681-2695.
  8. Sekandi J.N., List J., Luzze H., Yin X., Dobbin K.K., Corso P.S., Oloya J., Okwera A., Whalen C.C. (2014) The yield of undetected tuberculosis and human immunodeficiency virus from active case finding in urban Uganda.  The International Journal of Tuberculosis and Lung Disease, 18: 13-19.
  9. Dobbin K.K. (2014)  Statistical design and evaluation of biomarker studies.  Methods in Molecular Biology, 1102: 667-77.
  10. Robb C, Lee A, Jacobsen P, Dobbin K, Extermann M (2013) Health and personal resources in older cancer patients undergoing chemotherapy. Journal of Geriatric Oncology. 4(2): 166-173.
  11. Dobbin K. K. and Song X. (2013) Sample size requirements for training high-dimensional risk predictors. Biostatistics. 14: 639-652.
  12. Lawrence J, Saba C, Gogal R Jr, Lamberth O, Vandenplas ML, Hurley DJ, Dubreuil P, Hermine O, Dobbin K and Turek M (2012) Masitinib demonstrates antiproliferative and proapoptotic activity in primary and metastatic feline injection-site sarcoma cells. Veterinary and Comparative Oncology. 10(2): 143-154.
  13. Dobbin K. K. and Cooke S. (2011) Lower confidence bounds for prediction accuracy in high dimensions via AROHIL Monte Carlo. Bioinformatics, 27: 3129-3134.
  14. Dobbin K. K. and Simon R.M. (2011) Optimally splitting cases for training and testing high dimensional classifiers. BMC Medical Genomics, 4:31.
  15. Harvey R.C., Wang X., Davidson G.S., Ar K., Dobbin K.K., Bedrick E., Chen I.M., Wilson C.S., Wharton W., Atlas S.R., Hunger S.P., Davidas M., Pullen, J., Carroll A.J., Borowitz, M.J., Bowman W.P., Carroll W.L., Camitta B., Reaman G.H., Bhojwani D., and Willman C.L. (2010) Identification of novel cluster groups in pediatric high risk B-precursor Acute Lymphoblastic Leukemia by gene expression profiling: Correlation with genome-wide DNA copy number alterations, clinical characteristics, and outcome. Blood: August 10, 2010. Epub ahead of print. PMID: 20699438.
  16. Dancey J.E., Dobbin K.K., Grever M.R. Groshen S., Jessup J.M., Koehler M., Shankar L.K. Stadler W.M., True L.D., Gravel A. on behalf of the Biomarker Task Force of the NCI Investigational Drug Steering Committee (2010) Guidelines for the development and incorporation of biomarker studies in early clinical trials of novel agents. Clinical Cancer Research, 16(6): 1745-55.
  17. Harvey R.C., Mullighan C.G., Chen I, Wharton W., Mikhail F.M., Carroll A.J., Kang H., Liu W., Dobbin K.K., Smith M.A., Carroll W.L., Davidas, M., Bowman W.P., Camitta B., Reaman G.H., Hunger S.P., Downing J.R., Willman C.L. (2010) Rearrangement of CRLF2 is associated with mutation of JAK kinases, alteration of IKZF1, Hispanic/Latino ethnicity and a poor outcome in pediatric B-progenitor acute lymphoblastic leukemia. Blood: 115(26): 5312-21. PMID: 20139093.
  18. Dobbin, K.K. (2009) A method for constructing a confidence bound for the actual error rate of a prediction rule in high dimensions. Biostatistics. 10: 282-296.
  19. Dobbin, K. and Simon, R. (2009) Statistical Issues in the Interpretation and Design of Microarray Experiments. In: Bioinformatics in Cancer and Cancer Therapy. Humana Press, New York. Book information website: http://www.springer.com/humana+press/cancer+research/book/978-1-58829-753-2.
  20. Shedden K., Taylor J.M., Enkemann S.A., Tsao M.S., Yeatman T.J., Gerald W.L., Eschrich S., Jurisica I., Giordano T.J., Misek D.E., Chang A.C., Zhu C.Q., Strumpf D., Hanash S., Shepherd F.A., Ding K., Seymour L., Naoki K., Pennell N., Weir B., Verhaak R., Ladd-Acosta C., Golub T., Gruidl M., Sharma A., Szoke J., Zakowski M., Rusch V., Kris M., Viale A., Motoi N., Travis W., Conley B., Seshan V.E., Meyerson M., Kuick R., Dobbin K.K., Lively T., Jacobson J.W., Beer D.G.(2008) Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study. Nature Medicine. 14(8): 822-7.
  21. Dobbin, K.K., Zhao, Y. and Simon, R.M. (2008) How large a training set is needed to develop a classifier for microarray data? Clinical Cancer Research, 14: 108-114.
  22. Dobbin, K.K. (2007)  Letter on “Five-gene signature in non-small-cell lung cancer”.  New England Journal of Medicine.  356: 1582.
  23. Kajdacsy-Balla A, Geynisman JM, Macias V, Setty S, Nanaji NM, Berman JJ, Dobbin K, Melamed J, Kong X, Bosland M, Orenstein J, Bayerl J, Becich MJ, Dhir R, Datta MW and the Cooperative Prostate Cancer Tissue Resource (2007) Practical Aspects of Planning, Building and Interpreting Tissue Microarrays: The Cooperative Prostate Cancer Tissue Resource Experience. Journal of Molecular Histology, 38: 113-21.
  24. Dobbin, K.K. and Simon, R.M. (2007) Sample size planning for developing classifiers using high dimensional DNA microarray data. Biostatistics, 8: 101-117.
  25. Dobbin, KK (2006) Experimental design of DNA microarray studies. In: Validation of toxicogenomic technologies: A workshop summary National Research Council of the National Academies of Science. http://dels.nas.edu/emergingissues/index.shtml.
  26. Datta, M.W., Dhir, R., Dobbin, K., Melamed, J., Becich, M.J., Orenstein, J.M., Kajdacsy-Balla, A.A., Bosland, M.C., Patel, A., Macias, V., Berman, J.J., and the Cooperative Prostate Cancer Tissue Resource (2005) Prostate cancer in patients with screening serum PSA values less than 4.0 ng/dl: Results from the Cooperative Prostate Cancer Tissue Resource . Journal of Urology, 173: 1546-1551.
  27. Dobbin, K.K., Shih, J.H. and Simon, R.M. (2005) Comment on `Evaluation of the gene-specific dye bias in cDNA microarray experiments’. Bioinformatics, 21, 2803-2804.
  28. Dobbin, K.K., Kawasaki, E.S., Petersen, D.W., and Simon, R.M. (2005) Characterizing dye bias in microarray experiments. Bioinformatics, 21: 2430-2437.
  29. Dobbin, K., Beer, D.G., Meyerson, M., Yeatman, T., Gerald, W., Jacobson, J., Conley, B., Buetow, K., Heiskanen, M., Simon, R., Minna, J., Girard, L., Misek, D., Taylor, J., Hanash, S., Naoki, K., Hayes, D. N., Ladd-Acosta, C., Enkemann, S., Viale, A., Giordano, T. (2005) Inter-laboratory comparability study of cancer gene expression analysis using oligonucleotide microarrays. Clinical Cancer Research, 11: 565-72.
  30. Dobbin, K. and Simon, R. (2005) Sample Size Determination in Microarray Experiments for Class Comparison and Prognostic Classification. Biostatistics, 6: 27-38.
  31. Shih, J., Michalowska, A., Dobbin, K., Ye, Y., Qiu, T. and Green, J. (2004) Effects of pooling mRNA in microarray class comparisons. Bioinformatics, 18: 3318-3325.
  32. Berman, J.J., Datta, M., Kajdacsy-Balla, A., Melamed, J., Orenstein, J., Dobbin, K., Patel, A., and Dhir, R. (2004) The tissue microarray data exchange specification: implementation by the Cooperative Prostate Cancer Tissue Resource. BMC: Bioinformatics, 5: 19.
  33. Dobbin, K., Shih, J. and Simon, R. (2003) Questions and Answers on Design of Dual-label Microarrays for Identifying Differentially Expressed Genes. Journal of the National Cancer Institute, 95: 1362-1369.
  34. Dobbin, K., Shih, J., and Simon, R. (2003) Statistical Design of Reverse Dye Microarrays. Bioinformatics, 19: 803-810.
  35. Simon, R. and Dobbin, K. (2003) Experimental Design of DNA Microarray Experiments. Biotechniques, March Supplement: 16-21.
  36. Dobbin, K. and Louis, T. (2003) Accommodating Stochastic Departures from Percentile Invariance in Causal Models. Journal of the Royal Statistical Society, Series B, 65: 837-849.
  37. Dobbin, K., Shih, J., and Simon, R. (2003) Statistical Design of Reverse Dye Microarrays. Bioinformatics, 19: 803-810.
  38. Simon, R., Radmacher, M., Dobbin, K. and McShane, L. (2003) Pitfalls in the Use of DNA Microarray Data for Diagnostic and Prognostic Classification. Journal of the National Cancer Institute, 95: 14-18.
  39. Dobbin, K. and Simon, R. (2002) Comparison of Microarray Designs for Class Comparison and Class Discovery. Bioinformatics, 18: 1438-1445.
  40. Simon, R., Radmacher, M. and Dobbin, K. (2002) Design of Studies Using DNA Microarrays. Genetic Epidemiology, 23: 21-36.
  41. Dobbin, K. and Simon, R. (2005) Experimental design [Specialist Review]. In: Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics. John Wiley and Sons, New York.

 

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