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Prediction in Multilevel Models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Journal of The American Statistical Association
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Linear Statistical Inference and its Applications
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Multivariate Statistical Methods
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Statistical Decision Theory
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Statistical Inference in Random Coefficient Regression Models
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MIXOR: a computer program for mixed-effects ordinal regression analysis
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Linear algebra and its applications
inferredcites →https://doi.org/10.1016/b0-12-369398-5/00166-3openalex-snapshot
Hierarchical Linear Models
inferredcites →https://doi.org/10.1016/b978-0-12-108840-8.50019-6openalex-snapshot
FISHER SCORING ALGORITHM FOR VARIANCE COMPONENT ANALYSIS OF DATA WITH MULTILEVEL STRUCTURE
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Multilevel Analysis of Educational Data
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A predictive density approach to predicting a future observable in multilevel models
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Predicting the Future: The role of past performance in determining trends in institutional effectiveness at A level
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On Least Squares with Insufficient Observations
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Limiting the Risk of Bayes and Empirical Bayes Estimators—Part I: The Bayes Case
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Limiting the Risk of Bayes and Empirical Bayes Estimators—Part II: The Empirical Bayes Case
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A Predictive Approach to Model Selection
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Using Empirical Bayes Techniques in the Law School Validity Studies
inferredcites →https://doi.org/10.1080/03610910500308248openalex-snapshot
Decomposition of Prediction Error in Multilevel Models
inferredcites →https://doi.org/10.1093/biomet/73.1.43openalex-snapshot
Multilevel Mixed Linear Model Analysis Using Iterative Generalized Least Squares
inferredcites →https://doi.org/10.1093/biomet/78.1.45openalex-snapshot
Nonlinear Multilevel Models, with an Application to Discrete Response Data
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Computation on Bayesian Graphical Models
inferredcites →https://doi.org/10.1111/j.2517-6161.1972.tb00885.xopenalex-snapshot
Bayes Estimates for the Linear Model
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1111/j.2517-6161.1984.tb01287.xopenalex-snapshot
On Extensions of the Gauss-Markov Theorem to the Case of Stochastic Regression Coefficients
inferredcites →https://doi.org/10.1214/06-ba117openalex-snapshot
A comparison of Bayesian and likelihood-based methods for fitting multilevel models
inferredcites →https://doi.org/10.1214/aos/1176343414openalex-snapshot
Extension of the Gauss-Markov Theorem to Include the Estimation of Random Effects
inferredcites →https://doi.org/10.1214/ss/1177011926openalex-snapshot
That BLUP is a Good Thing: The Estimation of Random Effects
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Prediction of Future Observations in Growth Curve Models
inferredcites →https://doi.org/10.1524/strm.1984.2.12.195openalex-snapshot
STATISTICAL DECISION THEORY: FOUNDATIONS, CONCEPTS, AND METHODS
inferredcites →https://doi.org/10.2307/1266704openalex-snapshot
Linear Statistical Inference and Its Applications
inferredcites →https://doi.org/10.2333/bhmk.31.43openalex-snapshot
An Application of Multilevel Model Prediction to NELS:88
inferredcites →https://doi.org/10.3102/10769986011001057openalex-snapshot
Random Coefficient Models for Multilevel Analysis
inferredcites →https://doi.org/10.3102/10769986018003207openalex-snapshot
Sensitivity Analysis for Fixed Effects in the Hierarchical Model: A Gibbs Sampling Approach
inferredcites →https://doi.org/10.3102/10769986020002171openalex-snapshot
Questioning Multilevel Models
inferredcites →https://doi.org/10.3102/10769986020002190openalex-snapshot
Hierarchical Models for Educational Data: An Overview
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Prediction in Multilevel Logistic Regression
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A Note on the Use of Mixture Models for Individual Prediction
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Review for "Vitamin D intake modifies the association of household air pollution exposure with maternal disorders of pregnancy"
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Prediction in Multilevel Generalized Linear Models
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