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- W2020552062 abstract "The capacity of Bayesian methods in estimating complex statistical models is undeniable. Bayesian data analysis is seen as having a range of advantages, such as an intuitive probabilistic interpretation of the parameters of interest, the efficient incorporation of prior information to empirical data analysis, model averaging and model selection. As a simplified demonstration, we illustrate (1) how Bayesians test and compare two non‐nested growth curve models using Bayesian estimation with non‐informative prior; (2) how Bayesians model and handle missing outcomes in the context of missing values; and (3) how Bayesians incorporate data‐based evidence from a previous data set, construct informative priors and treat them as extra information while conducting an up‐to‐date analogy analysis." @default.
- W2020552062 created "2016-06-24" @default.
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- W2020552062 date "2009-04-01" @default.
- W2020552062 modified "2023-10-16" @default.
- W2020552062 title "A preliminary Bayesian analysis of incomplete longitudinal data from a small sample: methodological advances in an international comparative study of educational inequality" @default.
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- W2020552062 doi "https://doi.org/10.1080/17437270902749353" @default.
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