Found: 17
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Estimating material properties under extreme conditions by using Bayesian model calibration with functional outputs.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 1023, doi. 10.1111/rssc.12273
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- Article
Spatially varying auto‐regressive models for prediction of new human immunodeficiency virus diagnoses.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 1003, doi. 10.1111/rssc.12269
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- Article
Power and commensurate priors for synthesizing aggregate and individual patient level data in network meta‐analysis.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 1047, doi. 10.1111/rssc.12275
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- Article
Discovering treatment effect heterogeneity through post‐treatment variables with application to the effect of class size on mathematics scores.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 917, doi. 10.1111/rssc.12265
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- Article
Modelling correlated binary variables: an application to lower urinary tract symptoms.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 1083, doi. 10.1111/rssc.12268
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- Article
Marginal logistic regression for spatially clustered binary data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 939, doi. 10.1111/rssc.12270
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- Article
Simultaneous equation penalized likelihood estimation of vehicle accident injury severity.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 979, doi. 10.1111/rssc.12267
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- Article
Optimal treatment allocations in space and time for on‐line control of an emerging infectious disease.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 743, doi. 10.1111/rssc.12266
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- Article
Functional principal components analysis on moving time windows of longitudinal data: dynamic prediction of times to event.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 961, doi. 10.1111/rssc.12264
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- Article
Using artificial censoring to improve extreme tail quantile estimates.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 791, doi. 10.1111/rssc.12262
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- Article
Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 813, doi. 10.1111/rssc.12261
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- Article
Bayesian models for weighted data with missing values: a bootstrap approach.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 1071, doi. 10.1111/rssc.12259
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- Article
The functional latent block model for the co‐clustering of electricity consumption curves.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 897, doi. 10.1111/rssc.12260
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- Article
Correlated multistate models for multiple processes: an application to renal disease progression in systemic lupus erythematosus.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 841, doi. 10.1111/rssc.12257
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- Article
Non‐parametric Bayesian multivariate metaregression: an application in environmental epidemiology.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 881, doi. 10.1111/rssc.12256
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- Article
Bayesian small area estimation for skewed business survey variables.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 861, doi. 10.1111/rssc.12254
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- Article
Issue Information.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 741, doi. 10.1111/rssc.12248
- Publication type:
- Article