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Biostatistical Publications

Based on many years of individual and combined experience with the special challenges of transplantation research, CIBMTR and the Medical College of Wisconsin (MCW) biostatisticians continually work to develop and adapt statistical methodology so that complex procedures in hematopoietic cell transplantation will be analyzed appropriately and results interpreted accurately. The breadth of our experience is reflected in the following listing of published biostatistical methods papers and books.



Year Title Authors Publication
2019 Bi-level variable selection for case-cohort studies with group variables. Kim S, Woo Ahn K Stat Methods Med Res 28(10-11):3404-3414
2019 Multiplicative fitness, rapid haplotype discovery, and fitness decay explain evolution of human MHC. Lobkovsky AE, Levi L, Wolf YI, Maiers M, Gragert L, Alter I, Louzoun Y, Koonin EV Proc Natl Acad Sci U S A
2019 Direct adjusted survival and cumulative incidence curves for observational studies. Hu Z-H, Gale RP, Zhang M-J Bone Marrow Transplant
2019 Testing for center effects on survival and competing risks outcomes using pseudo-value regression. Wang Y, Logan BR Lifetime Data Anal 25(2):206-228
2019 Statistical analyses of clinical trials in haematopoietic cell transplantation or why there is a strong correlation between people drowning after falling out of a fishing boat and marriage rate in Kentucky. Gale RP, Zhang MJ Bone Marrow Transplant
2019 Causal inference in randomized clinical trials. Zheng C, Dai R, Gale RP, Zhang M-J Bone Marrow Transplant
2019 Learning the dynamic treatment regimes from medical registry data through deep Q-network. Liu N, Liu Y, Logan B, Xu Z, Tang J, Wang Y Sci Rep 9(1):1495
2019 Nonparametric competing risks analysis using Bayesian Additive Regression Trees. Sparapani R, Logan BR, McCulloch RE, Laud PW Stat Methods Med Res
Last Updated: 5/15/2015 10:35 AM