Works matching IS 02776715 AND DT 2004 AND VI 23 AND IP 14
Results: 12
Sample size and power for McNemar's test with clustered data.
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- Statistics in Medicine, 2004, v. 23, n. 14, p. 2283, doi. 10.1002/sim.1768
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Multivariate estimation of the relative dose potency.
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- Statistics in Medicine, 2004, v. 23, n. 14, p. 2187, doi. 10.1002/sim.1826
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Robust Bayesian prediction of subject disease status and population prevalence using several similar diagnostic tests.
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- Statistics in Medicine, 2004, v. 23, n. 14, p. 2227, doi. 10.1002/sim.1792
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Analysis of longitudinal studies with death and drop-out: a case study.
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- Statistics in Medicine, 2004, v. 23, n. 14, p. 2215, doi. 10.1002/sim.1821
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Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs data. By A. Agresti and Y. Min. Statistics in Medicine 2004; 23:65-75.
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- Statistics in Medicine, 2004, v. 23, n. 14, p. 2317, doi. 10.1002/sim.1810
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Diagnostic test accuracy and prevalence inferences based on joint and sequential testing with finite population sampling.
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- Statistics in Medicine, 2004, v. 23, n. 14, p. 2237, doi. 10.1002/sim.1809
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Quantile regression via vector generalized additive models.
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- Statistics in Medicine, 2004, v. 23, n. 14, p. 2295, doi. 10.1002/sim.1822
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The multiple-record systems estimator when registrations refer to different but overlapping populations.
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- Statistics in Medicine, 2004, v. 23, n. 14, p. 2267, doi. 10.1002/sim.1818
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Modelling associations between time-to-event responses in pilot cancer clinical trials using a Plackett-Dale model.
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- Statistics in Medicine, 2004, v. 23, n. 14, p. 2173, doi. 10.1002/sim.1820
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Advantages to transforming the receiver operating characteristic (ROC) curve into likelihood ratio co-ordinates.
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- Statistics in Medicine, 2004, v. 23, n. 14, p. 2257, doi. 10.1002/sim.1835
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Monitoring change in spatial patterns of disease: comparing univariate and multivariate cumulative sum approaches.
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- Statistics in Medicine, 2004, v. 23, n. 14, p. 2195, doi. 10.1002/sim.1806
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A latent normal distribution model for analysing ordinal responses with applications in meta-analysis.
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- Statistics in Medicine, 2004, v. 23, n. 14, p. 2155, doi. 10.1002/sim.1814
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- Article