Works matching IS 00359254 AND DT 2022 AND VI 71 AND IP 5
Results: 42
Utility‐based Bayesian personalized treatment selection for advanced breast cancer.
- Published in:
- 2022
- Publication type:
- Correction Notice
Contents of volume 71, 2022.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 2038, doi. 10.1111/rssc.12605
- Publication type:
- Article
Derivation of maternal dietary patterns accounting for regional heterogeneity.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1957, doi. 10.1111/rssc.12604
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- Publication type:
- Article
Bayesian multi‐level mixed‐effects model for influenza dynamics.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1978, doi. 10.1111/rssc.12603
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- Publication type:
- Article
Bayesian modelling strategies for borrowing of information in randomised basket trials.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 2014, doi. 10.1111/rssc.12602
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- Publication type:
- Article
Optimal approximate choice designs for a two‐step coffee choice, taste and choice again experiment.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1895, doi. 10.1111/rssc.12601
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- Publication type:
- Article
Flexible domain prediction using mixed effects random forests.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1865, doi. 10.1111/rssc.12600
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- Publication type:
- Article
Non‐parametric calibration of multiple related radiocarbon determinations and their calendar age summarisation.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1918, doi. 10.1111/rssc.12599
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- Publication type:
- Article
Combining cytotoxic agents with continuous dose levels in seamless phase I‐II clinical trials.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1996, doi. 10.1111/rssc.12598
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- Publication type:
- Article
Sequential one‐step estimator by sub‐sampling for customer churn analysis with massive data sets.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1753, doi. 10.1111/rssc.12597
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- Publication type:
- Article
The saturated pairwise interaction Gibbs point process as a joint species distribution model.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1721, doi. 10.1111/rssc.12596
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- Publication type:
- Article
A Bayesian model for estimating Sustainable Development Goal indicator 4.1.2: School completion rates.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1822, doi. 10.1111/rssc.12595
- By:
- Publication type:
- Article
Leveraging network structure to improve pooled testing efficiency.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1648, doi. 10.1111/rssc.12594
- By:
- Publication type:
- Article
Semi‐parametric time‐to‐event modelling of lengths of hospital stays.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1623, doi. 10.1111/rssc.12593
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- Publication type:
- Article
Contour models for physical boundaries enclosing star‐shaped and approximately star‐shaped polygons.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1688, doi. 10.1111/rssc.12592
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- Publication type:
- Article
Measuring diachronic sense change: New models and Monte Carlo methods for Bayesian inference.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1569, doi. 10.1111/rssc.12591
- By:
- Publication type:
- Article
Score test for assessing the conditional dependence in latent class models and its application to record linkage.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1663, doi. 10.1111/rssc.12590
- By:
- Publication type:
- Article
Non‐parametric Bayesian covariate‐dependent multivariate functional clustering: An application to time‐series data for multiple air pollutants.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1521, doi. 10.1111/rssc.12589
- By:
- Publication type:
- Article
Environmental Engel curves: A neural network approach.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1543, doi. 10.1111/rssc.12588
- By:
- Publication type:
- Article
A model‐based approach to predict employee compensation components.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1503, doi. 10.1111/rssc.12587
- By:
- Publication type:
- Article
Efficient estimation of the marginal mean of recurrent events.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1787, doi. 10.1111/rssc.12586
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- Publication type:
- Article
Investigating the association of a sensitive attribute with a random variable using the Christofides generalised randomised response design and Bayesian methods.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1471, doi. 10.1111/rssc.12585
- By:
- Publication type:
- Article
Modelling time‐varying rankings with autoregressive and score‐driven dynamics.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1427, doi. 10.1111/rssc.12584
- By:
- Publication type:
- Article
Statistical integration of heterogeneous omics data: Probabilistic two‐way partial least squares (PO2PLS).
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1451, doi. 10.1111/rssc.12583
- By:
- Publication type:
- Article
Nowcasting COVID‐19 deaths in England by age and region.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1266, doi. 10.1111/rssc.12576
- By:
- Publication type:
- Article
Utility‐based Bayesian personalized treatment selection for advanced breast cancer.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1605, doi. 10.1111/rssc.12582
- By:
- Publication type:
- Article
Robust correspondence analysis.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1381, doi. 10.1111/rssc.12580
- By:
- Publication type:
- Article
Spatiotemporal ETAS model with a renewal main‐shock arrival process.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1356, doi. 10.1111/rssc.12579
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- Publication type:
- Article
Specification analysis for technology use and teenager well‐being: Statistical validity and a Bayesian proposal.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1330, doi. 10.1111/rssc.12578
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- Publication type:
- Article
A Bayesian spatio‐temporal analysis of markets during the Finnish 1860s famine.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1282, doi. 10.1111/rssc.12577
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- Publication type:
- Article
Network Hawkes process models for exploring latent hierarchy in social animal interactions.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1402, doi. 10.1111/rssc.12581
- By:
- Publication type:
- Article
Heterogeneous graphical model for non‐negative and non‐Gaussian PM2.5 data.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1303, doi. 10.1111/rssc.12575
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- Publication type:
- Article
Unconventional policies effects on stock market volatility: The MAP approach.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1245, doi. 10.1111/rssc.12574
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- Publication type:
- Article
Dynamic disease screening by joint modelling of survival and longitudinal data.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1158, doi. 10.1111/rssc.12573
- By:
- Publication type:
- Article
Stopping time detection of wood panel compression: A functional time‐series approach.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1205, doi. 10.1111/rssc.12572
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- Publication type:
- Article
Assessing predictive discrimination performance of biomarkers in the presence of treatment‐induced dependent censoring.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1137, doi. 10.1111/rssc.12571
- By:
- Publication type:
- Article
Bayesian nonparametric modelling of multiple graphs with an application to ethnic metabolic differences.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1181, doi. 10.1111/rssc.12570
- By:
- Publication type:
- Article
Multilevel network item response modelling for discovering differences between innovation and regular school systems in Korea.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1225, doi. 10.1111/rssc.12569
- By:
- Publication type:
- Article
Classification of myocardial blood flow based on dynamic contrast‐enhanced magnetic resonance imaging using hierarchical Bayesian models.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1085, doi. 10.1111/rssc.12568
- By:
- Publication type:
- Article
Non‐separable spatio‐temporal models via transformed multivariate Gaussian Markov random fields.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1116, doi. 10.1111/rssc.12567
- By:
- Publication type:
- Article
A principal stratification approach to estimating the effect of continuing treatment after observing early outcomes.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1065, doi. 10.1111/rssc.12552
- By:
- Publication type:
- Article
Issue Information.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 5, p. 1063, doi. 10.1111/rssc.12507
- Publication type:
- Article