Dennis Boos

Boos, D. D., & Duan, S. (2021). Pairwise Comparisons Using Ranks in the One-Way Model. AMERICAN STATISTICIAN. https://doi.org/10.1080/00031305.2020.1860819

Boos, D. D., Duan, K., & Liu, X. (2021). Pairwise comparisons for Levene-style variability parameters. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION. https://doi.org/10.1080/03610918.2021.1887230

Cowger, C., Smith, J., Boos, D., Bradley, C. A., Ransom, J., & Bergstrom, G. C. (2020). Managing a Destructive, Episodic Crop Disease: A National Survey of Wheat and Barley Growers' Experience With Fusarium Head Blight. PLANT DISEASE, 104(3), 634–648. https://doi.org/10.1094/PDIS-10-18-1803-SR

Green, C. L., Brownie, C., Boos, D. D., Lu, J. C., & Krucoff, M. W. (2016). Maximum likelihood estimation of time to first event in the presence of data gaps and multiple events. Statistical Methods in Medical Research, 25(2), 775–792. https://doi.org/10.1177/0962280212466089

Boos, D. D., & Osborne, J. A. (2015). Assessing variability of complex descriptive statistics in Monte Carlo studies using resampling methods. International Statistical Review, 83(2), 228–238. https://doi.org/10.1111/insr.12087

Boos, D. D., & Stefanski, L. A. (2013). Essential statistical inference: Theory and methods. New York: Springer.

Tamura, R. N., Huang, X., & Boos, D. (2012). Authors' Reply. Statistics in Medicine, 31(29), 4143–4144. https://doi.org/10.1002/sim.5360

Tamura, R. N., Huang, X. H., & Boos, D. (2012). Two-stage randomized trials: Outstanding issues Authors' Reply.

Tamura, R. N., Huang, X. H., & Boos, D. D. (2011). Estimation of treatment effect for the sequential parallel design. Statistics in Medicine, 30(30), 3496–3506. https://doi.org/10.1002/sim.4412

Crews, H. B., Boos, D. D., & Stefanski, L. A. (2011). FSR methods for second-order regression models. Computational Statistics & Data Analysis, 55(6), 2026–2037. https://doi.org/10.1016/j.csda.2011.01.009

Boos, D. D., & Stefanski, L. A. (2011). P-value precision and reproducibility. American Statistician, 65(4), 213–221. https://doi.org/10.1198/tas.2011.10129

Boos, D. D., Hoffman, D., Kringle, R., & Zhang, J. (2009). Comment on 'New confidence bounds for QT studies' REPLY.

Wang, Q., Stefanski, L. A., Genton, M. G., & Boos, D. D. (2009). Robust time series analysis via measurement error modeling. Statistica Sinica, 19(3), 1263–1280.

Boos, D. D., Stefanski, L. A., & Wu, Y. J. (2009). fast FSR variable selection with applications to clinical trials. Biometrics, 65(3), 692–700. https://doi.org/10.1111/j.1541-0420.2008.01127.x

Wu, Y. J., Boos, D. D., & Stefanski, L. A. (2007). Controlling variable selection by the addition of pseudovariables. Journal of the American Statistical Association, 102(477), 235–243. https://doi.org/10.1198/016214506000000843

Boos, D. D., Hoffman, D., Kringle, R., & Zhang, J. (2007). New confidence bounds for QT studies. Statistics in Medicine, 26(20), 3801–3817. https://doi.org/10.1002/sim.2826

Luo, X. H., Stefanski, L. A., & Boos, D. D. (2006). Tuning variable selection procedures by adding noise. Technometrics, 48(2), 165–175. https://doi.org/10.1198/004017005000000319

Johnson, B. A., & Boos, D. D. (2005). A  note on the use of kernel functions in weighted estimators. Statistics & Probability Letters, 72(4), 345–355. https://doi.org/10.1016/j.spl.2005.02.007

Fuentes, M., & Boos, D. D. (2005). Special issue - Environmental and health statistics. Environmetrics, 16(5), 421. https://doi.org/10.1002/env.711

Isik, F., Boos, D. D., & Li, B. L. (2005). The  distribution of genetic parameter estimates and confidence intervals from small disconnected diallels. Theoretical and Applied Genetics, 110(7), 1236–1243. https://doi.org/10.1007/s00122-005-1957-0

Boos, D. D., & Brownie, C. (2004). Comparing variances and other measures of dispersion. Statistical Science, 19(4), 571–578. https://doi.org/10.1214/08834230400000503

Robarge, W. P., Boos, D., & Proctor, C. (2004). Determination of trace metal content of fertilizer source materials produced in north America. In Environmental impact of fertilizer on soil and water (Vol. 872, pp. 75–89). https://doi.org/10.1021/bk-2004-0872.ch006

Luo, X. H., Boos, D. D., & Tamura, R. N. (2004). Score tests for dose effect in the presence of non-responders. Statistics in Medicine, 23(23), 3581–3591. https://doi.org/10.1002/sim.1800

Presnell, B., & Boos, D. D. (2004). The  IOS test for model misspecification. Journal of the American Statistical Association, 99(465), 216–227. https://doi.org/10.1198/016214504000000214

Kim, H. J., & Boos, D. D. (2004). Variance estimation in spatial regression using a non-parametric semivariogram based on residuals. Scandinavian Journal of Statistics: Theory and Applications, 31(3), 387–401. https://doi.org/10.1111/j.1467-9469.2004.02-025.x

Boos, D. D. (2003). Introduction to the bootstrap world. Statistical Science, 18(2), 168–174. https://doi.org/10.1214/ss/1063994971

Stefanski, L. A., & Boos, D. D. (2002). The calculus of M-estimation. American Statistician, 56(1), 29–38. https://doi.org/10.1198/000313002753631330

Wu, C. T., Gumpertz, M. L., & Boos, D. D. (2001). Comparison of GEE, MINQUE, ML, and REML estimating equations for normally distributed data. American Statistician, 55(2), 125–130. https://doi.org/10.1198/000313001750358608

Boos, D. D. (2000). Asymptotic distribution of P values in composite null models - Comment. Journal of the American Statistical Association, 95(452), 1163–1164.

Boos, D. D., & Hughes-Oliver, J. M. (2000). How large does n have to be for Z and t intervals? American Statistician, 54(2), 121–128. https://doi.org/10.2307/2686030

Boos, D. D., & Zhang, J. (2000). Monte Carlo evaluation of resampling-based hypothesis tests. Journal of the American Statistical Association, 95(450), 486–492. https://doi.org/10.2307/2669393

Berger, R. L., & Boos, D. D. (1999). Confidence limits for the onset and duration of treatment effect. Biometrical Journal, 41(5), 517–531. https://doi.org/10.1002/(SICI)1521-4036(199909)41:5<517::AID-BIMJ517>3.3.CO;2-V

Boos, D. D., & Hughes-Oliver, J. M. (1998). Applications of Basu's theorem. American Statistician, 52(3), 218–221. https://doi.org/10.2307/2685927

Zhang, J., & Boos, D. D. (1997). Mantel-Haenszel test statistics for correlated binary data. Biometrics, 53(4), 1185–1198. https://doi.org/10.2307/2533489

Hudson, R. R., Boos, D. D., & Kaplan, N. L. (1992). A statistical test for detecting geographic subdivision. Molecular Biology and Evolution, 9(1), 138–151.

Boos, D. D. (1985). A converse to Scheffe's theorem. Annals of Statistics, 13(1), 423–427. https://doi.org/10.1214/aos/1176346604

Boos, D. D., & Serfling, R. J. (1980). A note on differentials and the CLT and LIL for statistical functions, with application to M-estimates. Annals of Statistics, 8(3), 618–625. https://doi.org/10.1214/aos/1176345012

Boos, D. D. (1979). A differential for L-statistics. Annals of Statistics, 7(5), 955–959. https://doi.org/10.1214/aos/1176344781