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Mixed Model Segmented Linear Regression, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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non-linear mixed regression models sas proc nlmixed v9.4  (SAS institute)
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linear mixed effect regression model lmer  (Snijders Scientific)
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Snijders Scientific linear mixed effect regression model lmer
Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
Linear Mixed Effect Regression Model Lmer, supplied by Snijders Scientific, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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time-varying linear mixed-effects regression model  (SAS institute)
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Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
Time Varying Linear Mixed Effects Regression Model, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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weighted multilevel mixed generalized linear regression model  (SAS institute)
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SAS institute weighted multilevel mixed generalized linear regression model
Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
Weighted Multilevel Mixed Generalized Linear Regression Model, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Familiarity rating estimated marginal means from the linear mixed effect regression model. Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean

Journal: Journal of trauma & dissociation : the official journal of the International Society for the Study of Dissociation (ISSD)

Article Title: Preliminary Evidence of a Missing Self Bias in Face Perception for Individuals with Dissociative Identity Disorder

doi: 10.1080/15299732.2018.1547807

Figure Lengend Snippet: Familiarity rating estimated marginal means from the linear mixed effect regression model. Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean

Article Snippet: We used a linear mixed effect regression model (LMER; e.g., Snijders & Bosker, 2012 ) to assess the influence of the factors on familiarity ratings.

Techniques: Control