Statistical Methods for Handling Incomplete Data.
- Published in:
- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 166, doi. 10.1093/jrsssa/qnad005
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- Article
Works matching IS 09641998 AND DT 2023 AND VI 186 AND IP 1
Results: 14
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Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 165, doi. 10.1093/jrsssa/qnad004
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- Article
3
Time-Series Analysis for the State-Space Model with R/Stan.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 164, doi. 10.1093/jrsssa/qnad002
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- Article
4
Professor Sir Michael David Rawlins, 1941–2023.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 162, doi. 10.1093/jrsssa/qnad001
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- Article
5
Anthony (Tony) Leonard JOHNSON: founding editor of Statistics in Medicine and Medical Research Council biostatistician who helped to revolutionize the understanding and treatment of epilepsy.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 160, doi. 10.1093/jrsssa/qnac018
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- Article
6
David Harold Baillie 1940–2021.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 159, doi. 10.1093/jrsssa/qnac017
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7
David (Tim) Holt 1943–2022.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 157, doi. 10.1093/jrsssa/qnac016
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- Article
8
Bayesian multistate modelling of incomplete chronic disease burden data.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 1, doi. 10.1093/jrsssa/qnac015
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- Article
9
A multivariate dynamic statistical model of the global carbon budget 1959–2020.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 20, doi. 10.1093/jrsssa/qnac014
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- Article
10
An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 43, doi. 10.1093/jrsssa/qnac013
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11
Multivariate claim count regression model with varying dispersion and dependence parameters.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 61, doi. 10.1093/jrsssa/qnac010
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12
Measuring economic mobility in India using noisy data: a partial identification approach.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 84, doi. 10.1093/jrsssa/qnac005
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- Article
13
Reconciling reports: modelling employment earnings and measurement errors using linked survey and administrative data.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 110, doi. 10.1093/jrsssa/qnac003
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14
Clustering spatial networks through latent mixture models.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023, v. 186, n. 1, p. 137, doi. 10.1093/jrsssa/qnac002
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- Article