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Computational statistics within clinical research

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  • Edler, Lutz
  • Lee, Jae Won
  • Mittlböck, Martina
  • Niland, Joyce
  • Victor, Norbert

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Suggested Citation

  • Edler, Lutz & Lee, Jae Won & Mittlböck, Martina & Niland, Joyce & Victor, Norbert, 2009. "Computational statistics within clinical research," Computational Statistics & Data Analysis, Elsevier, vol. 53(3), pages 583-585, January.
    • Handle: RePEc:eee:csdana:v:53:y:2009:i:3:p:583-585
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    References listed on IDEAS

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    1. Stamey, James D. & Boese, Doyle H. & Young, Dean M., 2008. "Confidence intervals for parameters of two diagnostic tests in the absence of a gold standard," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1335-1346, January.
    2. Gilmour, A.R., 2007. "Mixed model regression mapping for QTL detection in experimental crosses," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3749-3764, May.
    3. Carrasco, Jalmar M.F. & Ortega, Edwin M.M. & Paula, Gilberto A., 2008. "Log-modified Weibull regression models with censored data: Sensitivity and residual analysis," Computational Statistics & Data Analysis, Elsevier, vol. 52(8), pages 4021-4039, April.
    4. Scrucca, Luca, 2007. "Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 438-451, September.
    5. Lopez-de-Ullibarri, Ignacio & Cao, Ricardo & Cadarso-Suarez, Carmen & Lado, Maria J., 2008. "Nonparametric estimation of conditional ROC curves: Application to discrimination tasks in computerized detection of early breast cancer," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2623-2631, January.
    6. Werner, Carola & Brunner, Edgar, 2007. "Rank methods for the analysis of clustered data in diagnostic trials," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 5041-5054, June.
    7. Lui, Kung-Jong, 2007. "Sample size calculation for non-compliance randomized trials with repeated measurements in binary data," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3832-3843, May.
    8. Zhang, Chunming & Lu, Yuefeng & Johnstone, Tom & Oakes, Terry & Davidson, Richard J., 2008. "Efficient modeling and inference for event-related fMRI data," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4859-4871, June.
    9. Bajorunaite, Ruta & Klein, John P., 2007. "Two-sample tests of the equality of two cumulative incidence functions," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4269-4281, May.
    10. Chen, Yuh-Ing & Chang, Yu-Mei, 2007. "Identification of the minimum effective dose for right-censored survival data," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 3213-3222, March.
    11. Park, Changyi & Koo, Ja-Yong & Kim, Sujong & Sohn, Insuk & Lee, Jae Won, 2008. "Classification of gene functions using support vector machine for time-course gene expression data," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2578-2587, January.
    12. Liang, Shengde & Banerjee, Sudipto & Bushhouse, Sally & Finley, Andrew O. & Carlin, Bradley P., 2008. "Hierarchical multiresolution approaches for dense point-level breast cancer treatment data," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2650-2668, January.
    13. Langholz, Bryan & Jiao, Jenny, 2007. "Computational methods for case-cohort studies," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3737-3748, May.
    14. Hoshino, Takahiro, 2008. "A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1413-1429, January.
    15. Sohn, Insuk & Kim, Sujong & Hwang, Changha & Lee, Jae Won, 2008. "New normalization methods using support vector machine quantile regression approach in microarray analysis," Computational Statistics & Data Analysis, Elsevier, vol. 52(8), pages 4104-4115, April.
    16. Stamey, James & Gerlach, Richard, 2007. "Bayesian sample size determination for case-control studies with misclassification," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 2982-2992, March.
    17. Regad, L. & Guyon, F. & Maupetit, J. & Tufféry, P. & Camproux, A.C., 2008. "A Hidden Markov Model applied to the protein 3D structure analysis," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3198-3207, February.
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