mixed-effects linear regression model with repeated measures Search Results


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restricted maximum likelihood-based mixed effects model for repeated measures v. 9.4  (SAS institute)
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repeated measures, two-way analysis of varoiance (anova) or mixed effects model  (GraphPad Software Inc)
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Repeated Measures, Two Way Analysis Of Varoiance (Anova) Or Mixed Effects Model, supplied by GraphPad Software Inc, 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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linear mixed-effects modeling approach for repeated measures (mmrm)  (Mallinckrodt)
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Linear Mixed Effects Modeling Approach For Repeated Measures (Mmrm), supplied by Mallinckrodt, 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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Third Order Mixed Effect Models For Repeated Measurement Data, supplied by Aptech Systems, 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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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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SAS institute time-varying linear mixed-effects 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
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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repeated measures random effects mixed model  (SAS institute)
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SAS institute repeated measures random effects mixed 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
Repeated Measures Random Effects Mixed 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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mixed-effects model for repeated measures  (GraphPad Software Inc)
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GraphPad Software Inc mixed-effects model for repeated measures
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
Mixed Effects Model For Repeated Measures, supplied by GraphPad Software Inc, 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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mixed-effect model with repeated measures  (QualityMetric Incorporated)
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QualityMetric Incorporated mixed-effect model with repeated measures
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
Mixed Effect Model With Repeated Measures, supplied by QualityMetric Incorporated, 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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hierarchical linear modeling, mixed-effects repeated-measures models implemented in sas software, version 9.4 proc mixed  (SAS institute)
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SAS institute hierarchical linear modeling, mixed-effects repeated-measures models implemented in sas software, version 9.4 proc mixed
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
Hierarchical Linear Modeling, Mixed Effects Repeated Measures Models Implemented In Sas Software, Version 9.4 Proc Mixed, 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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mixed effect linear regression model analysis (mem)  (Snijders Scientific)
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Snijders Scientific mixed effect linear regression model analysis (mem)
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
Mixed Effect Linear Regression Model Analysis (Mem), 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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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