| Year |
Citation |
Score |
| 2023 |
Brossard M, Paterson AD, Espin-Garcia O, Craiu RV, Bull SB. Characterization of direct and/or indirect genetic associations for multiple traits in longitudinal studies of disease progression. Genetics. PMID 37369448 DOI: 10.1093/genetics/iyad119 |
0.381 |
|
| 2021 |
Espin-Garcia O, Craiu RV, Bull SB. Two-phase sample selection strategies for design and analysis in post-genome-wide association fine-mapping studies. Statistics in Medicine. PMID 34596256 DOI: 10.1002/sim.9211 |
0.309 |
|
| 2018 |
Chen B, Craiu RV, Sun L. Bayesian model averaging for the X-chromosome inactivation dilemma in genetic association study. Biostatistics (Oxford, England). PMID 30247537 DOI: 10.1093/biostatistics/kxy049 |
0.317 |
|
| 2018 |
Hasler C, Craiu RV, Rivest L. Vine Copulas for Imputation of Monotone Non-response International Statistical Review. 86: 488-511. DOI: 10.1111/Insr.12263 |
0.362 |
|
| 2016 |
Xu L, Craiu RV, Sun L, Paterson AD. Parameter Expanded Algorithms for Bayesian Latent Variable Modeling of Genetic Pleiotropy Data. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 25: 405-425. PMID 27752219 DOI: 10.1080/10618600.2014.988337 |
0.56 |
|
| 2016 |
Xu L, Craiu RV, Sun L, Paterson AD. Parameter Expanded Algorithms for Bayesian Latent Variable Modeling of Genetic Pleiotropy Data Journal of Computational and Graphical Statistics. 25: 405-425. DOI: 10.1080/10618600.2014.988337 |
0.564 |
|
| 2014 |
Xu L, Craiu RV, Derkach A, Paterson AD, Sun L. Using a Bayesian latent variable approach to detect pleiotropy in the Genetic Analysis Workshop 18 data. Bmc Proceedings. 8: S77. PMID 25519405 DOI: 10.1186/1753-6561-8-S1-S77 |
0.408 |
|
| 2014 |
Chen Z, Craiu RV, Bull SB. A note on the efficiencies of sampling strategies in two-stage Bayesian regional fine mapping of a quantitative trait. Genetic Epidemiology. 38: 599-609. PMID 25132153 DOI: 10.1002/gepi.21845 |
0.302 |
|
| 2014 |
Li L, Yao F, Craiu RV, Zou J. Minimum description length principle for linear mixed effects models Statistica Sinica. 24: 1161-1178. DOI: 10.5705/Ss.2011.230 |
0.366 |
|
| 2014 |
Sabeti A, Wei M, Craiu RV. Additive models for conditional copulas Stat. 3: 300-312. DOI: 10.1002/sta4.64 |
0.322 |
|
| 2013 |
Acar EF, Craiu RV, Yao F. Statistical testing of covariate effects in conditional copula models Electronic Journal of Statistics. 7: 2822-2850. DOI: 10.1214/13-Ejs866 |
0.364 |
|
| 2013 |
Casarin R, Craiu R, Leisen F. Interacting multiple try algorithms with different proposal distributions Statistics and Computing. 23: 185-200. DOI: 10.1007/S11222-011-9301-9 |
0.372 |
|
| 2011 |
Acar EF, Craiu RV, Yao F. Dependence calibration in conditional copulas: a nonparametric approach. Biometrics. 67: 445-53. PMID 20731648 DOI: 10.1111/J.1541-0420.2010.01472.X |
0.443 |
|
| 2011 |
Xu L, Craiu RV, Sun L. Bayesian methods to overcome the winner's curse in genetic studies Annals of Applied Statistics. 5: 201-231. DOI: 10.1214/10-Aoas373 |
0.499 |
|
| 2011 |
Craiu RV, Duchesne T, Fortin D, Baillargeon S. Conditional logistic regression with longitudinal follow-up and individual-level random coefficients: A stable and efficient two-step estimation method Journal of Computational and Graphical Statistics. 20: 767-784. DOI: 10.1198/jcgs.2011.09189 |
0.447 |
|
| 2011 |
Bai Y, Craiu RV, Di Narzo AF. Divide and conquer: A mixture-based approach to regional adaptation for MCMC Journal of Computational and Graphical Statistics. 20: 63-79. DOI: 10.1198/jcgs.2010.09035 |
0.362 |
|
| 2011 |
Craiu RV. Tuning of Markov chain Monte Carlo algorithms using copulas Upb Scientific Bulletin, Series a: Applied Mathematics and Physics. 73: 5-12. |
0.361 |
|
| 2010 |
Yao F, Craiu RV, Reiser B. Nonparametric covariate adjustment for receiver operating characteristic curves Canadian Journal of Statistics. 38: 27-46. |
0.365 |
|
| 2008 |
Craiu RV, Duchesne T, Fortin D. Inference methods for the conditional logistic regression model with longitudinal data. Biometrical Journal. Biometrische Zeitschrift. 50: 97-109. PMID 17849385 DOI: 10.1002/bimj.200610379 |
0.357 |
|
| 2008 |
Craiu M, Craiu RV. Bayesian inference for copula models Upb Scientific Bulletin, Series a: Applied Mathematics and Physics. 70: 3-10. |
0.306 |
|
| 2007 |
Craiu RV, Lemieux C. Acceleration of the Multiple-Try Metropolis algorithm using antithetic and stratified sampling Statistics and Computing. 17: 109-120. DOI: 10.1007/S11222-006-9009-4 |
0.354 |
|
| 2005 |
Craiu RV, Lee TCM. Model selection for the competing-risks model with and without masking Technometrics. 47: 457-467. DOI: 10.1198/004017005000000238 |
0.311 |
|
| 2004 |
Craiu RV, Duchesne T. Inference based on the em algorithm for the competing risks model with masked causes of failure Biometrika. 91: 543-558. DOI: 10.1093/biomet/91.3.543 |
0.408 |
|
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