| Year |
Citation |
Score |
| 2015 |
Boos DD, Osborne JA. Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies using Resampling Methods. International Statistical Review = Revue Internationale De Statistique. 83: 228-238. PMID 26345317 DOI: 10.1111/Insr.12087 |
0.479 |
|
| 2012 |
Green CL, Brownie C, Boos DD, Lu JC, Krucoff MW. Maximum likelihood estimation of time to first event in the presence of data gaps and multiple events. Statistical Methods in Medical Research. PMID 23166160 DOI: 10.1177/0962280212466089 |
0.377 |
|
| 2011 |
Boos DD, Stefanski LA. P-Value Precision and Reproducibility. The American Statistician. 65: 213-221. PMID 22690019 DOI: 10.1198/Tas.2011.10129 |
0.396 |
|
| 2011 |
Tamura RN, Huang X, Boos DD. Estimation of treatment effect for the sequential parallel design. Statistics in Medicine. 30: 3496-506. PMID 22139795 DOI: 10.1002/Sim.4412 |
0.33 |
|
| 2011 |
Crews HB, Boos DD, Stefanski LA. FSR Methods for Second-Order Regression Models. Computational Statistics & Data Analysis. 55: 2026-2037. PMID 21479118 DOI: 10.1016/J.Csda.2011.01.009 |
0.319 |
|
| 2010 |
Boos D, Stefanski L. Efron's bootstrap Significance. 7: 186-188. DOI: 10.1111/J.1740-9713.2010.00463.X |
0.376 |
|
| 2009 |
Boos DD, Stefanski LA, Wu Y. Fast FSR variable selection with applications to clinical trials. Biometrics. 65: 692-700. PMID 18945266 DOI: 10.1111/J.1541-0420.2008.01127.X |
0.412 |
|
| 2009 |
Wang Q, Stefanski LA, Genton MG, Boos DD. Robust time series analysis via measurement error modeling Statistica Sinica. 19: 1263-1280. |
0.381 |
|
| 2007 |
Boos DD, Hoffman D, Kringle R, Zhang J. New confidence bounds for QT studies. Statistics in Medicine. 26: 3801-17. PMID 17294510 DOI: 10.1002/Sim.2826 |
0.322 |
|
| 2007 |
Wu Y, Boos DD, Stefanski LA. Controlling variable selection by the addition of pseudovariables Journal of the American Statistical Association. 102: 235-243. DOI: 10.1198/016214506000000843 |
0.325 |
|
| 2006 |
Luo X, Stefanski LA, Boos DD. Tuning variable selection procedures by adding noise Technometrics. 48: 165-175. DOI: 10.1198/004017005000000319 |
0.403 |
|
| 2005 |
Isik F, Boos DD, Li B. The distribution of genetic parameter estimates and confidence intervals from small disconnected diallels. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 110: 1236-43. PMID 15754206 DOI: 10.1007/S00122-005-1957-0 |
0.419 |
|
| 2005 |
Johnson BA, Boos DD. A note on the use of kernel functions in weighted estimators Statistics and Probability Letters. 72: 345-355. DOI: 10.1016/J.Spl.2005.02.007 |
0.456 |
|
| 2004 |
Luo X, Boos DD, Tamura RN. Score tests for dose effect in the presence of non-responders. Statistics in Medicine. 23: 3581-91. PMID 15534896 DOI: 10.1002/Sim.1800 |
0.357 |
|
| 2004 |
Boos DD, Brownie C. Comparing variances and other measures of dispersion Statistical Science. 19: 571-578. DOI: 10.1214/088342304000000503 |
0.44 |
|
| 2004 |
Presnell B, Boos DD. The IOS Test for Model Misspecification Journal of the American Statistical Association. 99: 216-227. DOI: 10.1198/016214504000000214 |
0.484 |
|
| 2004 |
Kim HJ, Boos DD. Variance estimation in spatial regression using a non-parametric semivariogram based on residuals Scandinavian Journal of Statistics. 31: 387-401. DOI: 10.1111/J.1467-9469.2004.02-025.X |
0.586 |
|
| 2003 |
Boos DD. Introduction to the Bootstrap World Statistical Science. 18: 168-174. DOI: 10.1214/Ss/1063994971 |
0.334 |
|
| 2002 |
Stefanski LA, Boos DD. The calculus of M-estimation American Statistician. 56: 29-38. DOI: 10.1198/000313002753631330 |
0.47 |
|
| 2001 |
Wu CT, Gumpertz ML, Boos DD. Comparison of GEE, MINQUE, ML, and REML estimating equations for normally distributed data American Statistician. 55: 125-130. DOI: 10.1198/000313001750358608 |
0.531 |
|
| 2000 |
Boos DD, Zhang J. Monte Carlo Evaluation of Resampling-Based Hypothesis Tests Journal of the American Statistical Association. 95: 486-492. DOI: 10.1080/01621459.2000.10474226 |
0.453 |
|
| 1999 |
Berger RL, Boos DD. Confidence limits for the onset and duration of treatment effect Biometrical Journal. 41: 517-531. DOI: 10.1002/(Sici)1521-4036(199909)41:5<517::Aid-Bimj517>3.0.Co;2-3 |
0.317 |
|
| 1997 |
Zhang J, Boos DD. Mantel-Haenszel test statistics for correlated binary data Biometrics. 53: 1185-1198. PMID 9423245 DOI: 10.2307/2533489 |
0.401 |
|
| 1997 |
Zhang J, Boos DD. Generalized Cochran-Mantel-Haenszel test statistics for correlated categorical data Communications in Statistics - Theory and Methods. 26: 1813-1837. DOI: 10.1080/03610929708832016 |
0.383 |
|
| 1996 |
Lamb RH, Boos DD, Brownie C. Testing for effects on variance in experiments with factorial treatment structure and nested errors Technometrics. 38: 170-177. DOI: 10.2307/1270410 |
0.352 |
|
| 1995 |
Boos DD, Brownie C. ANOVA and rank tests when the number of treatments is large Statistics and Probability Letters. 23: 183-191. DOI: 10.1016/0167-7152(94)00112-L |
0.361 |
|
| 1994 |
Brownie C, Boos DD. Type I error robustness of ANOVA and ANOVA on ranks when the number of treatments is large Biometrics. 50: 542-549. PMID 19405210 DOI: 10.2307/2533399 |
0.342 |
|
| 1994 |
Zhang J, Boos DD. Adjusted power estimates in Monte Carlo experiments Communications in Statistics - Simulation and Computation. 23: 165-173. DOI: 10.1080/03610919408813162 |
0.419 |
|
| 1994 |
Berger RL, Boos DD. P values maximized over a confidence set for the nuisance parameter Journal of the American Statistical Association. 89: 1012-1016. DOI: 10.1080/01621459.1994.10476836 |
0.416 |
|
| 1993 |
Boos DD. Analysis of Dose-Response Data in the Presence of Extrabinomial Variation Applied Statistics. 42: 173-183. DOI: 10.2307/2347419 |
0.316 |
|
| 1993 |
Zhang J, Boos DD. Testing hypotheses about covariance matrices using bootstrap methods Communications in Statistics - Theory and Methods. 22: 723-739. DOI: 10.1080/03610929308831051 |
0.401 |
|
| 1992 |
Boos DD, Brownie C. A rank-based mixed model approach to multisite clinical trials Biometrics. 48: 61-72. PMID 1581494 DOI: 10.2307/2532739 |
0.303 |
|
| 1992 |
Hudson RR, Boos DD, Kaplan NL. A statistical test for detecting geographic subdivision Molecular Biology and Evolution. 9: 138-151. PMID 1552836 DOI: 10.1093/Oxfordjournals.Molbev.A040703 |
0.321 |
|
| 1992 |
Monahan JF, Boos DD. Proper likelihoods for Bayesian analysis Biometrika. 79: 271-278. DOI: 10.1093/Biomet/79.2.271 |
0.418 |
|
| 1992 |
Zhang J, Boos DD. Bootstrap critical values for testing homogeneity of covariance matrices Journal of the American Statistical Association. 87: 425-429. DOI: 10.1080/01621459.1992.10475222 |
0.404 |
|
| 1992 |
Boos DD. On generalized score tests American Statistician. 46: 327-333. DOI: 10.1080/00031305.1992.10475921 |
0.484 |
|
| 1991 |
Boos DD, Brownie C. Mixture models for continuous data in dose-response studies when some animals are unaffected by treatment Biometrics. 47: 1489-1504. PMID 1786327 DOI: 10.2307/2532401 |
0.369 |
|
| 1991 |
Zhang J, Pantula SG, Boos DD. Robust methods for testing the pattern of a single covariance matrix Biometrika. 78: 787-795. DOI: 10.1093/Biomet/78.4.787 |
0.439 |
|
| 1990 |
Brownie C, Boos DD, Hughes-Oliver J. Modifying the t and ANOVA F tests when treatment is expected to increase variability relative to controls Biometrics. 46: 259-266. DOI: 10.2307/2531650 |
0.319 |
|
| 1989 |
Boos DD, Brownie C. Bootstrap methods for testing homogeneity of variances Technometrics. 31: 69-82. DOI: 10.1080/00401706.1989.10488477 |
0.403 |
|
| 1989 |
Boos D, Janssen P, Veraverbeke N. Resampling from centered data in the two-sample problem Journal of Statistical Planning and Inference. 21: 327-345. DOI: 10.1016/0378-3758(89)90051-7 |
0.427 |
|
| 1988 |
Berger RL, Boos DD, Guess FM. Tests and confidence sets for comparing two mean residual life functions Biometrics. 44: 103-115. PMID 3358985 DOI: 10.2307/2531899 |
0.303 |
|
| 1987 |
Boos DD. Detecting skewed errors from regression residuals Technometrics. 29: 83-90. DOI: 10.2307/1269885 |
0.493 |
|
| 1986 |
Boos DD, Brownie C. Testing for a treatment effect in the presence of nonresponders Biometrics. 42: 191-197. PMID 3719056 DOI: 10.2307/2531256 |
0.344 |
|
| 1986 |
Boos DD, Monahan JF. Bootstrap methods using prior information Biometrika. 73: 77-83. DOI: 10.1093/Biomet/73.1.77 |
0.486 |
|
| 1986 |
Boos DD. Comparing K populations with linear rank statistics Journal of the American Statistical Association. 81: 1018-1025. DOI: 10.1080/01621459.1986.10478367 |
0.377 |
|
| 1986 |
Tamura RN, Boos DD. Minimum hellinger distance estimation for multivariate location and covariance Journal of the American Statistical Association. 81: 223-229. DOI: 10.1080/01621459.1986.10478264 |
0.508 |
|
| 1984 |
Boos DD. Using extreme value theory to estimate large percentiles Technometrics. 26: 33-39. DOI: 10.1080/00401706.1984.10487919 |
0.521 |
|
| 1982 |
Boos DD. Minimum anderson-darling estimation Communications in Statistics - Theory and Methods. 11: 2747-2774. DOI: 10.1080/03610928208828420 |
0.466 |
|
| 1982 |
Boos DD. A test for asymmetry associated with the hodges-lehmann estimator Journal of the American Statistical Association. 77: 647-651. DOI: 10.1080/01621459.1982.10477864 |
0.461 |
|
| 1981 |
Boos DD. Minimum distance estimators for location and goodness of fit Journal of the American Statistical Association. 76: 663-670. DOI: 10.1080/01621459.1981.10477701 |
0.401 |
|
| 1980 |
Boos DD, Serfling RJ. A Note on Differentials and the CLT and LIL for Statistical Functions, with Application to $M$-Estimates Annals of Statistics. 8: 618-624. DOI: 10.1214/Aos/1176345012 |
0.411 |
|
| 1980 |
Boos DD. A new method for constructing approximate confidence intervals from M estimates Journal of the American Statistical Association. 75: 142-145. DOI: 10.1080/01621459.1980.10477444 |
0.399 |
|
| Show low-probability matches. |