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A Model-Based Imputation Procedure for Multilevel Regression Models with Random Coefficients, Interaction Effects, and Non-Linear Terms

• Authors : Enders, Craig K.; Du, Han; Keller, Brian T.

Subjects: Hierarchical Linear Modeling; Regression (Statistics); Predictor Variables

• Source: Grantee Submission. 2019.113

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A note on MCMC for nested multilevel regression models via belief propagation

• Authors : Papaspiliopoulos, Omiros; Zanella, Giacomo

Subjects: Statistics - Computation

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Multilevel regression models describing regional patterns of invertebrate and algal responses to urbanization across the USA

• Authors : Cuffney, Thomas F.; Kashuba, Roxolana; Qian, Song S.

• Source: Journal of the North American Benthological Society, 2011 . 30(3), 797-819.

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Improving estimates of environmental change using multilevel regression models of Ellenberg indicator values

• Authors : Carroll, Tadhg; Gillingham, Phillipa K.; Stafford, Richard

Subjects: Ecology and Environment; Publication - Article; PeerReviewed

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Graduate workshop on Bayesian multilevel regression models

• Authors : Ellis, Andrew

Subjects: 150 Psychology

• Source: Ellis, Andrew (2021). Graduate workshop on Bayesian multilevel regression models. [Software & Other Digital

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Policy Analysis Using Multilevel Regression Models with Group Interactive Fixed Effects

• Authors : Zhenhao Gong; Min Seong Kim

Subjects: Biotechnology; Sociology; Science Policy

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Multilevel regression models predicting general attitude to science.

• Authors : Patrick Sturgis; Ian Brunton-Smith; Nick Allum

Subjects: Sociology; Developmental Biology; Cancer

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Unconditional multilevel regression models (treatment effects).

• Authors : David H. Rosmarin; Steven Pirutinsky

Subjects: Medicine; Pharmacology; Infectious Diseases

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Multilevel regression models of anxiety over the course of clinical treatment.

• Authors : David H. Rosmarin; Steven Pirutinsky

Subjects: Medicine; Pharmacology; Infectious Diseases

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Selection of the Number of Participants in Intensive Longitudinal Studies: A User-Friendly Shiny App and Tutorial for Performing Power Analysis in Multilevel Regression Models That Account for Temporal Dependencies

• Authors : Lafit, G.; Adolf, J.K.; Dejonckheere, E.

Subjects: power analysis; Monte Carlo simulation; intensive longitudinal designs

• Source: Lafit , G , Adolf , J K , Dejonckheere , E , Myin-Germeys , I , Viechtbauer , W & Ceulemans , E 2021 , ' Selection of the Number of Participants in Intensive Longitudinal Studies: A User-Friendly

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