A multilevel structural equation model for assessing a drug effect on a patient‐reported outcome measure in on‐demand medication data-Reference-Cited by-同舟云学术

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A multilevel structural equation model for assessing a drug effect on a patient‐reported outcome measure in on‐demand medication data

Published:2021-07-16 Issue:8 Volume:63 Page:1652-1672
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical Journal

Author:

Kessels Rob¹²^ORCID,Moerbeek Mirjam³^ORCID,Bloemers Jos¹⁴,van der Heijden Peter G.M.³⁵

Affiliation:

1. Emotional Brain BV Almere The Netherlands

2. Department of Biometrics Netherlands Cancer Institute Amsterdam The Netherlands

3. Department of Methodology and Statistics Utrecht University Utrecht The Netherlands

4. Utrecht Institute for Pharmaceutical Sciences and Rudolf Magnus Institute of Neuroscience Utrecht University Utrecht The Netherlands

5. Department of Social Statistics and Demography University of Southampton Southampton United Kingdom

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202100046

Reference57 articles.

1. Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias; a simulation study

2. Measurement Bias Detection Through Factor Analysis

3. Estimating Multilevel Linear Models as Structural Equation Models

4. Latent Curve Models

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3. A comparison of the multilevel MIMIC model to the multilevel regression and mixed ANOVA model for the estimation and testing of a cross‐level interaction effect: A simulation study;Biometrical Journal;2023-04-17

4. Limitations of the Sum-and-Alpha Approach to Measurement in Behavioral Research;Policy Insights from the Behavioral and Brain Sciences;2022-09-10

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