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lavaan.survey : An R Package for Complex Survey Analysis of Structural Equation Models

Journal of statistical software, 2014-03, Vol.57 (1), p.1-27

Oberski, Daniel

2014

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Relating Latent Class Membership to Continuous Distal Outcomes: Improving the LTB Approach and a Modified Three-Step Implementation

Structural equation modeling, 2016-03, Vol.23 (2), p.278-289

2016

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Prior Sensitivity Analysis in Default Bayesian Structural Equation Modeling

Psychological methods, 2018-06, Vol.23 (2), p.363-388

2018

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An open source machine learning framework for efficient and transparent systematic reviews

Nature machine intelligence, 2021-02, Vol.3 (2), p.125-133

2021

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Evaluating Sensitivity of Parameters of Interest to Measurement Invariance in Latent Variable Models

Political analysis, 2014, Vol.22 (1), p.45-60

Oberski, Daniel L.

2014

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Shrinkage priors for Bayesian penalized regression

Journal of mathematical psychology, 2019-04, Vol.89, p.31-50

2019

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Estimating stochastic survey response errors using the multitrait‐multierror model

Journal of the Royal Statistical Society. Series A, Statistics in society, 2022-01, Vol.185 (1), p.134-155

2022

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Identifying multivariate disease trajectories and potential phenotypes of early knee osteoarthritis in the CHECK cohort

PloS one, 2023-07, Vol.18 (7), p.e0283717-e0283717

2023

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Elevation alters ecosystem properties across temperate treelines globally

Nature (London), 2017-02, Vol.542 (7639), p.91-95

2017

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Exploratory Mediation Analysis with Many Potential Mediators

Structural equation modeling, 2019-09, Vol.26 (5), p.710-723

2019

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Evaluating the construct validity of text embeddings with application to survey questions

EPJ data science, 2022-07, Vol.11 (1), p.39-31, Article 39

2022

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Relating Latent Class Assignments to External Variables: Standard Errors for Correct Inference

Political analysis, 2014-10, Vol.22 (4), p.520-540

2014

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Flexible Extensions to Structural Equation Models Using Computation Graphs

Structural equation modeling, 2022-03, Vol.29 (2), p.233-247

2022

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Why Measurement Invariance is Important in Comparative Research. A Response to Welzel et al. (2021)

Sociological methods & research, 2023-08, Vol.52 (3), p.1401-1419

2023

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Methodology for biomarker discovery with reproducibility in microbiome data using machine learning

BMC bioinformatics, 2024-01, Vol.25 (1), p.26-26, Article 26

2024

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Enhancing Psychological Capital and Personal Growth Initiative: Working on Strengths or Deficiencies

Journal of counseling psychology, 2015-01, Vol.62 (1), p.50-62

2015

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Bias-Adjusted Three-Step Latent Markov Modeling With Covariates

Structural equation modeling, 2016-09, Vol.23 (5), p.649-660

2016

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Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records

Systematic reviews, 2023-06, Vol.12 (1), p.100-12, Article 100

2023

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Clinical Applications of Artificial Intelligence in Real-World Data

1, 2023

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Identifying Heterogeneity in Dynamic Panel Models with Individual Parameter Contribution Regression

Structural equation modeling, 2020-07, Vol.27 (4), p.613-628

2020

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Measurement Error Models With Uncertainty About the Error Variance

Structural equation modeling, 2013-07, Vol.20 (3), p.409-428

2013

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Bayesian multivariate control charts for multivariate profiles monitoring

Quality technology & quantitative management, 2024-05, Vol.ahead-of-print (ahead-of-print), p.1-36

2024

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Dependent interviewing: a remedy or a curse for measurement error in surveys?

Survey research methods, 2021-08, Vol.15 (2)

2021

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Updating Latent Class Imputations with External Auxiliary Variables

Structural equation modeling, 2018-09, Vol.25 (5), p.750-761

2018

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Power and Type I Error of Local Fit Statistics in Multilevel Latent Class Analysis

Structural equation modeling, 2017-03, Vol.24 (2), p.216-229

2017

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lavaan.survey : An R Package for Complex Survey Analysis of Structural Equation Models

Relating Latent Class Membership to Continuous Distal Outcomes: Improving the LTB Approach and a Modified Three-Step Implementation

Prior Sensitivity Analysis in Default Bayesian Structural Equation Modeling

An open source machine learning framework for efficient and transparent systematic reviews

Evaluating Sensitivity of Parameters of Interest to Measurement Invariance in Latent Variable Models

Shrinkage priors for Bayesian penalized regression

Estimating stochastic survey response errors using the multitrait‐multierror model

Identifying multivariate disease trajectories and potential phenotypes of early knee osteoarthritis in the CHECK cohort

Elevation alters ecosystem properties across temperate treelines globally

Exploratory Mediation Analysis with Many Potential Mediators

Evaluating the construct validity of text embeddings with application to survey questions

Relating Latent Class Assignments to External Variables: Standard Errors for Correct Inference

Flexible Extensions to Structural Equation Models Using Computation Graphs

Why Measurement Invariance is Important in Comparative Research. A Response to Welzel et al. (2021)

Methodology for biomarker discovery with reproducibility in microbiome data using machine learning

Enhancing Psychological Capital and Personal Growth Initiative: Working on Strengths or Deficiencies

Bias-Adjusted Three-Step Latent Markov Modeling With Covariates

Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records

Clinical Applications of Artificial Intelligence in Real-World Data

Identifying Heterogeneity in Dynamic Panel Models with Individual Parameter Contribution Regression

Measurement Error Models With Uncertainty About the Error Variance

Bayesian multivariate control charts for multivariate profiles monitoring

Dependent interviewing: a remedy or a curse for measurement error in surveys?

Updating Latent Class Imputations with External Auxiliary Variables

Power and Type I Error of Local Fit Statistics in Multilevel Latent Class Analysis

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