By Ying Lu, Jiqian Fang, Lu Tian, Hua Jin
This e-book offers new and strong complex statistical tools which have been utilized in glossy medication, drug improvement, and epidemiology. a few of these equipment have been in the beginning constructed for tackling clinical difficulties. All 29 chapters are self-contained. every one bankruptcy represents the hot improvement and destiny examine themes for a clinical or statistical department. For the good thing about readers with varied statistical historical past, each one bankruptcy follows an analogous type: the reason of scientific demanding situations, statistical principles and techniques, statistical equipment and strategies, mathematical feedback and historical past and reference. All chapters are written by means of specialists of the respective issues.
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Extra info for Advanced Medical Statistics
23 developed a program called ROCBIAS to estimate the ROC curve of a single test when the probability of verifying a patient depends on only the test results. Rodenberg and Zhou26 developed a program called EMPLUM to estimate ROC curves when the probability of verifying a patient depends not only on the test results but also on other observed covariates. Toledano36 developed special software written in Fortran to implement the weighted GEE approach for analyzing correlated ROC curves in the presence of verification bias.
Putnam. Hilliard, Gray, Boston. 8. Double, F. J. (1835). Statistique appliquee a la medecine. Comptes rendus de lAcademie des Sciences 1: 281. 9. Quetelet, L. A. J. (1962). A Treatise on Man and the Development of His Faculties, trans. R. Knox. Research Works Series #247. Burt Franklin, New York. 10. Poisson, S. D. (1837). Recherches sur la probabilite des jugements en matiere criminelle et en matiere civile, Bachelier, Paris. 11. D’Amador, R. (1837). Memoire sue le calcul des probabilites applique a la medecine, Paris.
The problem of verification bias is just one of many problems encountered in diagnostic medicine. 44 References 1. Rifkin, M. , Zerhouni, E. , Gatsonis, C. , Quint, L. , Paushter, D. , Epstein, J. , Walsh, P. C. and McNeil, B. J. (1990). Comparison of magnetic resonance imaging and ultrasonography in staging early prostate cancer. New England Journal of Medicine 323: 621–626. 2. Begg, C. B. and Greenes, R. A. (1983). Assessment of diagnostic tests when disease is subject to selection bias. Biometrics 39: 207–216.