Exploring impact of marijuana (cannabis) abuse on adults using machine learning
Marijuana is the most common illicit substance globally. The rate of marijuana use is
increasing in young adults in the US. The current environment of legalizing marijuana use is …
increasing in young adults in the US. The current environment of legalizing marijuana use is …
Income Imputation in Longitudinal Surveys: A Within-Individual Panel-Regression Approach
O Lipps, U Kuhn - Survey Research Methods, 2023 - ojs.ub.uni-konstanz.de
Unlike for cross-sectional data, there is only little research on income imputation for
longitudinal data. The current best practise is the Little and Su (L&S) method, which is based …
longitudinal data. The current best practise is the Little and Su (L&S) method, which is based …
Trauma history and course of therapy in a naturalistic cognitive behavior therapy outpatient sample: An archive data study
F Epe‐Jungeblodt, P Pauli, F Schwab… - Journal of Clinical …, 2024 - Wiley Online Library
Abstract Objective Cognitive Behavior Therapy (CBT) is an effective treatment for anxiety
and depression disorders. Nonetheless, nearly 50% of all patients do not respond. Besides …
and depression disorders. Nonetheless, nearly 50% of all patients do not respond. Besides …
Multiple Imputation of Longitudinal Data: A Comparison of Robust Imputation Methods Regarding Sample Size Requirements, with an Application to Corporal …
Abstract Models for longitudinal data are often based on strong parametric assumptions
such as independence, normality and homoscedasticity of errors. Frequently, both the target …
such as independence, normality and homoscedasticity of errors. Frequently, both the target …
[PDF][PDF] Handling missing data in multichannel life course analysis
This thesis addresses the challenge of dealing with missing data, which is an inevitable
issue in quantitative studies. The appropriate treatment of missing data is complex and can …
issue in quantitative studies. The appropriate treatment of missing data is complex and can …
Multiple Imputation of Incomplete Panel Data Based on a Piecewise Growth Curve Model: An Evaluation and Application to Juvenile Delinquency Data
Modern model-based missing data imputation approaches try to recreate the sample in a
way as if ideally no information had gone missing. To this end, the respective model that is …
way as if ideally no information had gone missing. To this end, the respective model that is …
[PDF][PDF] Norges Bank Investment Management in relation to ESG and Financial Performance: An empirical analysis on how companies part of the Norwegian …
A Angell-Hansen, CB Meling - 2021 - openaccess.nhh.no
This thesis aims to analyze how the Norwegian Government Pension Fund Global,
managed by Norges Bank Investment Management's (NBIM), performs on environmental …
managed by Norges Bank Investment Management's (NBIM), performs on environmental …
Multiple Imputation: Application
K Kleinke, J Reinecke, D Salfrán, M Spiess… - … New Developments and …, 2020 - Springer
In this chapter, we discuss the most important and most commonly used multiple imputation
tools in R (Table 5.1 gives an overview of the download frequencies of various MI packages …
tools in R (Table 5.1 gives an overview of the download frequencies of various MI packages …