A penalized structural equation modeling method accounting for secondary phenotypes for variable selection on genetically regulated expression from PrediXcan for Alzheimer's disease

Biometrics ◽  
2020 ◽  
Author(s):  
Ting‐Huei Chen ◽  
Hanaa Boughal
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Structural Equation Modeling ◽  
Variable Selection ◽  
Structural Equation ◽  
Modeling Method ◽  
Equation Modeling ◽  
Regulated Expression ◽  
Secondary Phenotypes

Using structural equation modeling to detect response shift in quality of life in patients with Alzheimer's disease

2018 ◽  
Vol 31 (1) ◽  
pp. 123-132
Author(s):  
Xuxia Wang ◽  
Xiaomeng Xu ◽  
Hongjuan Han ◽  
Runlian He ◽  
Liye Zhou ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Short Form ◽  
Bodily Pain ◽  
Equation Modeling

ABSTRACTBackground:Our study aims to detect different types of response shifts (RS) and true changes of quality of life (QOL) measurement in patients with Alzheimer's disease (AD) using structural equation modeling (SEM) in domain level.Methods:Patients with AD aged over 60 years old were collected from the Department of Neurology and Geriatrics in Taiyuan Central Hospital, China. The 12-item Short Form (SF-12) Health Survey was measured in 238 patients with AD prior to hospitalization and one month following discharge. RS was detected by SEM approach. The statistical process consisted of four steps and fitted four models. We interpreted changes of parameters in models to detect RS and to assess true change.Results:The results showed reprioritization of social functioning (SF) (χ2 = 4.13, p < 0.05), reconceptualization of role limitations due to emotional problems (RE) (χ2 = 17.03, p < 0.001), uniform recalibration of bodily pain (BP) (χ2 = 12.24, p < 0.001), and non-uniform recalibration of mental health (MH) (χ2 = 4.41, p < 0.05), respectively. The true changes of common factors were deteriorated in general physical health (PHYS) (−0.10, χ2 = 8.30, p < 0.005) and improved in general mental health (MENT) (+0.29, χ2 = 20.95, p < 0.001). The effect-sizes of RS were only small.Conclusion:This study showed that patients with AD occurred three types of RS and true changes one month following discharge. RS had effects on the QOL of patients. Better understanding of potential changes in QOL in patients with AD is crucial.

An Informant Questionnaire for Detecting Alzheimer's Disease: Are Some Items Better Than Others?

2011 ◽  
Vol 17 (4) ◽  
pp. 674-681 ◽  
Author(s):  
Sietske A.M. Sikkes ◽  
Dirk L. Knol ◽  
Mark T. van den Berg ◽  
Elly S.M. de Lange-de Klerk ◽  
Philip Scheltens ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Structural Equation ◽  
Structural Model ◽  
The Elderly ◽  
Equation Modeling ◽  
Or Education ◽  
Healthy Elderly ◽  
Patient Groups ◽  
Better Than

AbstractA decline in everyday cognitive functioning is important for diagnosing dementia. Informant questionnaires, such as the informant questionnaire on cognitive decline in the elderly (IQCODE), are used to measure this. Previously, conflicting results on the IQCODEs ability to discriminate between Alzheimer's disease (AD), mild cognitive impairment (MCI), and cognitively healthy elderly were found. We aim to investigate whether specific groups of items are more useful than others in discriminating between these patient groups. Informants of 180 AD, 59 MCI, and 89 patients with subjective memory complaints (SMC) completed the IQCODE. To investigate the grouping of questionnaire items, we used a two-dimensional graded response model (GRM).The association between IQCODE, age, gender, education, and diagnosis was modeled using structural equation modeling. The GRM with two groups of items fitted better than the unidimensional model. However, the high correlation between the dimensions (r=.90) suggested unidimensionality. The structural model showed that the IQCODE was able to differentiate between all patient groups. The IQCODE can be considered as unidimensional and as a useful addition to diagnostic screening in a memory clinic setting, as it was able to distinguish between AD, MCI, and SMC and was not influenced by gender or education. (JINS, 2011, 17, 674–681)

scholarly journals Analysis of Customer Behavior Factors on Subscription-Based Music Services

2019 ◽  
Vol 125 ◽  
pp. 21003
Author(s):  
Nia Budi Puspitasari ◽  
Aries Susanty ◽  
Muhammad Faiz Aji Prakoso
Keyword(s):  
Structural Equation Modeling ◽  
Consumer Behavior ◽  
Structural Equation ◽  
Influencing Factor ◽  
Customer Behavior ◽  
Modeling Method ◽  
Equation Modeling

Piracy is a problem that has been faced by various companies, one of which is music service software. Even though piracy gives a benefit to consumers, the losses obtained by the producer cannot be ignored. To overcome these problems, there are music services that can provide services easily and cheaply for consumers, commonly called the Subscription Based Music Service (SBMS). Although there is a service that can replace pirated products (SBMS), there is no guarantee that consumers will use it. This study aims to determine the factors that influence consumers in using SBMS music services. To achieve that, the Structural Equation Modeling method is used with AMOS software. The research was conducted in two countries, Indonesia and Germany with the aim to find out whether or not different countries affect consumer behavior. From the results of research in Indonesian and German respondents, the most influencing factor in the desire to use SBMS is the interest in the application. It can be concluded that the more music users know the service features and services provided by SBMS, the music users will be encouraged to use SBMS.

Cross-cultural study of caregiver burden for Alzheimer's disease in Japan and Taiwan: result from Dementia Research in Kumamoto and Tainan (DeReKaT)

2016 ◽  
Vol 28 (7) ◽  
pp. 1125-1132 ◽  
Author(s):  
Masateru Matsushita ◽  
Ming-Chyi Pai ◽  
Cai-Ying Jhou ◽  
Asuka Koyama ◽  
Manabu Ikeda
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Factor Analysis ◽  
Measurement Invariance ◽  
Caregiver Burden ◽  
Structural Equation ◽  
Equation Modeling ◽  
Latent Factor ◽  
Multiple Group ◽  
Dementia Research

ABSTRACTBackground:Caregiver burden (CB) of Alzheimer's disease (AD) in Taiwan is becoming an urgent social issue as well as that in Japan. The comparison of CB may explain how caregiver feels burden in each country.Methods:The participants were 343 outpatients with AD and their caregivers of Japan (n= 230) and Taiwan (n= 113). We assessed the CB using the Japanese and Chinese version of Zarit Caregiver Burden Interview (ZBI). The initial analysis was an exploratory factor analysis for each group to confirm the factor structure of ZBI. Then, the multiple-group structural equation modeling (MG-SEM) was used to assess the measurement invariance of ZBI such as configural, metric, and scalar invariances. Lastly, we compared the latent factor means of the ZBI between Japan and Taiwan.Results:In both groups, the confirmatory factor analysis extracted 3 factors which were labeled “Impact on caregiver's life”, “Embarrassed/anger”, and “Dependency”. The MG-SEM indicated an acceptable model fit, and established the partial scalar measurement invariance (comparative fit index (CFI) = 0.901, root mean square error of approximation (RMSEA) = 0.066). When we compared the latent factor means, the score of “Impact on caregiver's life” in Taiwanese caregivers was significantly higher than that in Japanese (p= 0.001). However, “Dependency” in Taiwanese caregivers was lower than that in Japanese (p< 0.001).Conclusions:Partial measurement invariance allowed comparing the latent factor mean across two countries. The results of comparisons suggested that there may be differences in the way of feeling CB between Japan and Taiwan.

scholarly journals Fear of Crime among Mongolians in the Ulaanbaatar Metropolitan Area

2021 ◽  
Vol 14 (1) ◽  
pp. 68-80
Author(s):  
Sharkhuu Chuluunbat ◽  
Lee Min-Sik
Keyword(s):  
Structural Equation Modeling ◽  
Metropolitan Area ◽  
Fear Of Crime ◽  
Structural Equation ◽  
Integrated Model ◽  
Modeling Method ◽  
Equation Modeling ◽  
Future Research ◽  
Criminological Research

This study is about fear of crime, which is one of the most important topics in the criminological research.The study tested an integrated model in structural equation modeling method by using both SPSS and AMOS. Those who perceive higher levels of incivility were found to be more fearful of crime. Policies to reduce fear of crime and implications for future research were discussed based on the findings.

scholarly journals Specific Association Between Religiosity and Cognitive Functions in Alzheimer’s Disease

2019 ◽  
Vol 34 (4) ◽  
pp. 254-260
Author(s):  
JaeHoon Jung ◽  
Chang Hyun Lee ◽  
Kitack Shin ◽  
Daeyoung Roh ◽  
Sang-Kyu Lee ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Correlation Analysis ◽  
Cognitive Functions ◽  
Structural Equation ◽  
Partial Correlation ◽  
Equation Modeling ◽  
Religious Activity ◽  
Partial Correlation Analysis ◽  
With Memory

Objectives: This study aimed to identify the specific relationship between subdomains of religious variables and cognitive functions in outpatients with Alzheimer’s disease (AD). Methods: We recruited 325 patients with AD from a psychiatry outpatient clinic. The Korean version of the Consortium to Establish a Registry for Alzheimer’s Disease and the Duke University Religion Index were used to assess cognitive functions and religiosity. We performed structural equation modeling and partial correlation analysis after controlling for demographic data. Results: The model in which religiosity beneficially affects cognitive functions showed acceptable model fit (root-mean-square error of approximation = 0.076, Tucker-Lewis index = 0.921, comparative fit index = 0.947). In the partial correlation analysis, organizational religious activity demonstrated positive relationships with memory ( r = 0.144, P = .010), language ( r = 0.149, P = .007), and constructional ability ( r = 0.191 P = .001). Nonorganizational religious activity and intrinsic religiosity were positively associated with memory ( r = 0.115, P = .040; r = 0.140, P = .012) and constructional ability ( r = 0.207, P = .000; r = 0.136, P = .015). Conclusions: The findings suggest that religiosity positively affects cognitive functions and that each religious variable is related differently to the subdomains of cognitive functions in patients with AD.

Factors versus Composites: Guidelines for Choosing the Right Structural Equation Modeling Method

2019 ◽  
Vol 50 (6) ◽  
pp. 619-624 ◽  
Author(s):  
Joseph F. Hair ◽  
Marko Sarstedt
Keyword(s):  
Regression Analysis ◽  
Structural Equation Modeling ◽  
Project Management ◽  
Team Performance ◽  
Structural Equation ◽  
Modeling Method ◽  
Equation Modeling ◽  
The Right

Structural equation modeling (SEM) is a widely applied and useful tool for project management scholars. In this Thoughtlet article, we critically reflect on the measurement philosophy underlying the two streams of SEM and their adequacy for estimating relationships among concepts commonly encountered in the field (e.g., team performance). We also discuss considerations to ponder when making the choice between the two types of SEM as well as between SEM and regression analysis.

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