Works matching IS 00359254 AND DT 2005 AND VI 54 AND IP 1
Results: 18
Modelling species diversity through species level hierarchical modelling.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 1, doi. 10.1111/j.1467-9876.2005.00466.x
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Nonparametric estimation of a change in defect intensity.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 95, doi. 10.1111/j.1467-9876.2005.00472.x
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An individual measure of relative survival.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 115, doi. 10.1111/j.1467-9876.2005.00473.x
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A survival-adjusted quantal response test for comparing tumour incidence rates.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 51, doi. 10.1111/j.1467-9876.2005.00469.x
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Limits of quantitation for laboratory assays.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 63, doi. 10.1111/j.1467-9876.2005.00470.x
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A Bayesian ordinal logistic regression model to correct for interobserver measurement error in a geographical oral health study.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 77, doi. 10.1111/j.1467-9876.2005.00471.x
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Assessing interaction effects in linear measurement error models.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 21, doi. 10.1111/j.1467-9876.2005.00467.x
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Mixture model on the variance for the differential analysis of gene expression data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 31, doi. 10.1111/j.1467-9876.2005.00468.x
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A useful distribution for fitting discrete data: revival of the Conway–Maxwell–Poisson distribution.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 127, doi. 10.1111/j.1467-9876.2005.00474.x
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A modified false discovery rate multiple-comparisons procedure for discrete data, applied to human immunodeficiency virus genetics.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 143, doi. 10.1111/j.1467-9876.2005.00475.x
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Low dose risk estimation via simultaneous statistical inferences.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 245, doi. 10.1111/j.1467-9876.2005.00481.x
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Assessing accuracy of a continuous screening test in the presence of verification bias.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 173, doi. 10.1111/j.1467-9876.2005.00477.x
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A hierarchical Bayesian model for predicting the functional consequences of amino-acid polymorphisms.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 191, doi. 10.1111/j.1467-9876.2005.00478.x
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A Bayesian kriged Kalman model for short-term forecasting of air pollution levels.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 223, doi. 10.1111/j.1467-9876.2005.00480.x
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Bayesian methods for the cross-design synthesis of epidemiological and toxicological evidence.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 159, doi. 10.1111/j.1467-9876.2005.00476.x
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A unified model for covariate measurement error adjustment in an occupational health study while accounting for non-detectable exposures.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 259, doi. 10.1111/j.1467-9876.2005.00482.x
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Generalized additive modelling of sample extremes.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 207, doi. 10.1111/j.1467-9876.2005.00479.x
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Disease resistance modelled as first-passage times of genetically dependent stochastic processes.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2005, v. 54, n. 1, p. 273, doi. 10.1111/j.1467-9876.2005.00483.x
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