Physical Sciences → Mathematics → Statistics and Probability
Statistical Methods and Bayesian Inference
This cluster of papers focuses on various statistical methods and models for handling missing data in research, including multiple imputation, Bayesian modeling, generalized linear models, longitudinal data analysis, and sensitivity analysis. It covers topics such as model complexity, simulation studies, and the application of these methods in different fields. The cluster also discusses the challenges and best practices for analyzing datasets with missing values.
59.5K works worldwide1.5M citations
Multiple ImputationBayesian ModelingGeneralized Linear ModelsLongitudinal Data AnalysisModel ComplexityStatistical MethodsMixed-Effects ModelsSimulation StudiesStructural Equation ModelingSensitivity Analysis
Journals publishing in this area
1
305h-index
1.51Impact
14.8KArticles
669.2KCitations
4
361h-index
1.41Impact
13.4KArticles
893.4KCitations
6
Journal of the Royal Statistical Society Series B (Statistical Methodology)
ISSN 1369-7412903 articles in this topic
307h-index
1.61Impact
4.2KArticles
739.3KCitations
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500h-index
1.29Impact
12.2KArticles
1.5MCitations
8
329h-index
2.51Impact
6.4KArticles
679.8KCitations
9
415h-index
2.27Impact
23.3KArticles
1.4MCitations
10
339h-index
3.39Impact
9.9KArticles
770.5KCitations
12
12h-index
0.09Impact
1.6KArticles
1.2KCitations