Revisiting the cumulative incidence function with competing risks data.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 498, doi. 10.1093/jrsssc/qlad019
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- Publication type:
- Article
Works matching IS 00359254 AND DT 2023 AND VI 72 AND IP 2
Results: 14
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Approximately linear INGARCH models for spatio-temporal counts.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 476, doi. 10.1093/jrsssc/qlad018
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- Publication type:
- Article
3
Investigating spatial scan statistics for multivariate functional data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 450, doi. 10.1093/jrsssc/qlad017
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- Article
4
Identifying optimally cost-effective dynamic treatment regimes with a Q-learning approach.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 434, doi. 10.1093/jrsssc/qlad016
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- Publication type:
- Article
5
Modelling intra-annual tree stem growth with a distributional regression approach for Gaussian process responses.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 414, doi. 10.1093/jrsssc/qlad015
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- Publication type:
- Article
6
Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 387, doi. 10.1093/jrsssc/qlad014
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- Publication type:
- Article
7
Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 368, doi. 10.1093/jrsssc/qlad013
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- Article
8
A spatial stochastic frontier model introducing inefficiency spillovers.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 346, doi. 10.1093/jrsssc/qlad012
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- Publication type:
- Article
9
Faecal shedding models for SARS-CoV-2 RNA among hospitalised patients and implications for wastewater-based epidemiology.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 330, doi. 10.1093/jrsssc/qlad011
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- Article
10
Using natural strata when examining unmeasured biases in an observational study of neurological side effects of antibiotics.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 314, doi. 10.1093/jrsssc/qlad010
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- Publication type:
- Article
11
Distributional data analysis of accelerometer data from the NHANES database using nonparametric survey regression models.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 294, doi. 10.1093/jrsssc/qlad007
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- Article
12
Bayesian matrix completion for hypothesis testing.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 254, doi. 10.1093/jrsssc/qlac005
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- Publication type:
- Article
13
Estimation of temperature-dependent growth profiles for the assessment of time of hatching in forensic entomology.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 231, doi. 10.1093/jrsssc/qlac003
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- Publication type:
- Article
14
Learning torus PCA-based classification for multiscale RNA correction with application to SARS-CoV-2.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 2, p. 271, doi. 10.1093/jrsssc/qlad004
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- Publication type:
- Article