DIF Detection With Zero-Inflation Under the Factor Mixture Modeling Framework

2021 ◽  
pp. 001316442110289
Author(s):  
Sooyong Lee ◽  
Suhwa Han ◽  
Seung W. Choi
Keyword(s):  
Total Sample ◽  
Mixture Modeling ◽  
Zero Inflation ◽  
Modeling Framework ◽  
Detection Power ◽  
Suggested Procedure ◽  
Response Data ◽  
Number Of Zeros ◽  
Factor Mixture Modeling ◽  
Study Results

Response data containing an excessive number of zeros are referred to as zero-inflated data. When differential item functioning (DIF) detection is of interest, zero-inflation can attenuate DIF effects in the total sample and lead to underdetection of DIF items. The current study presents a DIF detection procedure for response data with excess zeros due to the existence of unobserved heterogeneous subgroups. The suggested procedure utilizes the factor mixture modeling (FMM) with MIMIC (multiple-indicator multiple-cause) to address the compromised DIF detection power via the estimation of latent classes. A Monte Carlo simulation was conducted to evaluate the suggested procedure in comparison to the well-known likelihood ratio (LR) DIF test. Our simulation study results indicated the superiority of FMM over the LR DIF test in terms of detection power and illustrated the importance of accounting for latent heterogeneity in zero-inflated data. The empirical data analysis results further supported the use of FMM by flagging additional DIF items over and above the LR test.

Factor mixture modeling of anxiety sensitivity: Support for the three-class solution in a Serbian sample.

2020 ◽  
Vol 32 (10) ◽  
pp. 915-927
Author(s):  
Marija Volarov ◽  
Nicholas P. Allan ◽  
Ljiljana Mihić
Keyword(s):  
Anxiety Sensitivity ◽  
Mixture Modeling ◽  
Factor Mixture Modeling

scholarly journals Nonlinear mixed-effects models for modeling in vitro drug response data to determine problematic cancer cell lines

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Farnoosh Abbas-Aghababazadeh ◽  
Pengcheng Lu ◽  
Brooke L. Fridley
Keyword(s):  
Cell Lines ◽  
Cancer Cell ◽  
Drug Response ◽  
Functional Form ◽  
Cancer Cell Lines ◽  
Mixed Effects ◽  
Nonlinear Mixed Effects ◽  
Nonlinear Mixed Effects Models ◽  
Modeling Framework ◽  
Response Data

Abstract Cancer cell lines (CCLs) have been widely used to study of cancer. Recent studies have called into question the reliability of data collected on CCLs. Hence, we set out to determine CCLs that tend to be overly sensitive or resistant to a majority of drugs utilizing a nonlinear mixed-effects (NLME) modeling framework. Using drug response data collected in the Cancer Cell Line Encyclopedia (CCLE) and the Genomics of Drug Sensitivity in Cancer (GDSC), we determined the optimal functional form for each drug. Then, a NLME model was fit to the drug response data, with the estimated random effects used to determine sensitive or resistant CCLs. Out of the roughly 500 CCLs studies from the CCLE, we found 17 cell lines to be overly sensitive or resistant to the studied drugs. In the GDSC, we found 15 out of the 990 CCLs to be excessively sensitive or resistant. These results can inform researchers in the selection of CCLs to include in drug studies. Additionally, this study illustrates the need for assessing the dose-response functional form and the use of NLME models to achieve more stable estimates of drug response parameters.

scholarly journals Alexithymia Profile in Relation to Negative Affect in Parents of Autistic and Typically Developing Young Children

2020 ◽  
Vol 10 (8) ◽  
pp. 496
Author(s):  
Elisa Leonardi ◽  
Antonio Cerasa ◽  
Francesca Isabella Famà ◽  
Cristina Carrozza ◽  
Letteria Spadaro ◽  
...  
Keyword(s):  
Negative Affect ◽  
Trait Anxiety ◽  
Total Sample ◽  
Broader Autism Phenotype ◽  
Self Report ◽  
Anxiety And Depression ◽  
Significant Group ◽  
Potential Measurement ◽  
Study Results ◽  
Tas 20

In our study, we explored the construct of alexithymia in parents of children with and without ASD using a multi-method approach based on self-rated and external rater assessment. We also assessed the level of self-report measures of negative affect states such as trait anxiety and depression, and investigated the correlation between the alexithymia construct, trait anxiety, and depression within the broader autism phenotype (BAP). A total sample of 100 parents (25 mothers and 25 fathers in each group) were administered the TAS-20 and the TSIA to measure self-reported and observer-rated alexithymia traits, as well as self-report measures of anxiety and depression. Study results showed that the TSIA but not the TAS-20 was able to detect significant group differences in alexithymia traits among parents of children with and without ASD, with parents of ASD children displaying significantly higher levels of alexithymia. Furthermore, differently from the TAS-20, no significant correlations between the TSIA and measures of anxiety and depression were detected. Taken together, our results suggest the importance of using multi-method approaches to control for potential measurement bias and to detect psychological constructs such as alexithymia in subclinical samples such as parents of children with ASD.

Profiles of Psychological Resilience in College Students With Disabilities

2018 ◽  
Vol 37 (5) ◽  
pp. 635-651 ◽  
Author(s):  
Rahul Ganguly ◽  
Harsha N. Perera
Keyword(s):  
Students With Disabilities ◽  
Well Being ◽  
Mixture Modeling ◽  
The Other ◽  
Psychological Resilience ◽  
Academic Satisfaction ◽  
Factor Mixture Modeling ◽  
College Students With Disabilities ◽  
Career Optimism ◽  
Distal Outcome

The present article reports on research conducted to identify profiles of psychological resilience using factor mixture models. We also examine gender as a predictor of resilience profile membership and career optimism, academic satisfaction, and psychological well-being as outcomes of profile membership. Based on resilience data from university students with disabilities, factor mixture modeling revealed three distinct profiles of resilience (viz., “vulnerable,” “spirituality-dominant,” and “engaged-resilient”). Results also revealed that females were almost 4 times as likely to be in the spirituality-dominant profile than the vulnerable profile. Finally, distal outcome analyses revealed that career optimism, academic satisfaction, and well-being were higher in the engaged-resilient profile than the other profiles. Notably, spirituality-dominant and vulnerable individuals possessed about the same levels of career optimism, satisfaction, and well-being. The findings have important implications for the theory and assessment of resilience, suggesting the tenability of a person-centered assessment of psychological resilience.

scholarly journals Hydra: A mixture modeling framework for subtyping pediatric cancer cohorts using multimodal gene expression signatures

2020 ◽  
Vol 16 (4) ◽  
pp. e1007753
Author(s):  
Jacob Pfeil ◽  
Lauren M. Sanders ◽  
Ioannis Anastopoulos ◽  
A. Geoffrey Lyle ◽  
Alana S. Weinstein ◽  
...  
Keyword(s):  
Gene Expression ◽  
Pediatric Cancer ◽  
Mixture Modeling ◽  
Modeling Framework ◽  
Gene Expression Signatures

Sport participation should not be observed as protective against smoking and drinking in adolescence; cross-sectional cluster-based analysis in Croatian southern regions

2020 ◽  
Author(s):  
Ela Filipovic ◽  
Nikolina Catlak ◽  
Natasa Zenic
Keyword(s):  
Cigarette Smoking ◽  
Substance Misuse ◽  
Sport Participation ◽  
Total Sample ◽  
Protective Effects ◽  
High Alcohol ◽  
Point Scale ◽  
Cross Sectional ◽  
Study Results ◽  
Low Alcohol

Purpose: Sport participation in adolescence is frequently observed as being protective against consumption of psychoactive substances (e.g. cigarettes and alcohol), but limited number of studies directly examined this problem while simultaneously observing consump-tion of cigarettes and alcohol. The aim of this study was to evidence the possible associations which may exist between different factors explaining participation in sports, and consumption of cigarettes and alcohol in adolescents from Croatia. Methods: The sample comprised 436 adolescents from coastal regions in Croatia (202 fe-males) aged 15–17 years who were tested by previously validated closed structured ques-tionnaire on sport factors (experience in sports [four point scale from “never participated” to “ > 5 years”], sport competitive achievement [four point scale ranging from “never competed” to “national/international competitive achievement”], number of sport training sessions per week [four point scale ranging from “didn’t participate” to “sometimes even twice a day”]), cigarette smoking (four point scale ranging from “never smoked” to “more than 10 cigarettes per day”), and alcohol consumption (measured by Alcohol Use Disorders Identification Test – AUDIT). Cluster analysis calculated on the basis of cigarette smoking and AUDIT results was used to form homogenous groups (substance misuse clusters – SMC). The Kruskall Wallis analysis of variance (KWA) was calculated to identify the differences between SMC in studied sport factors. Results: Four SMC were formed indicating: (i) high alcohol + high cigarettes (SMC1: n=42), (ii) high alcohol + low cigarettes (SMC2: n=115), (iii) low alcohol + low cigarettes (SMC3: n=226), and (iv) low alcohol + high cigarettes consumption (SMC4: n=53). When calculat-ed for total sample of participants, the KWA revealed significant differences among SMC, with significant post-hoc differences between SMC1 and SMC3 in all sport-factors (H test: 9.5-to-17.5, p 80% of all SMC1 members). Gender-specific KWA did not reveal significant differences among SMC in studied sport factors. Conclusion: Study results do not support the theory of protective effects of sport participation against substance misuse in adolescence. Even more, there are some indices that sport par-ticipation may be observed risk factor for consumption of cigarettes and alcohol in this age group. Social acceptance of smoking and drinking in sport-society in the region is probable reason for relatively high rates of substance misuse in adolescents who are actively involved in sports.

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