Selected article for: "logistic regression and significant difference"
Author: Brielle C Stark; Alexandra Basilakos; Gregory Hickok; Chris Rorden; Leonardo Bonilha; Julius Fridriksson
Title: Neural organization of speech production: A lesion-based study of error patterns in connected speech
  • Document date: 2019_2_8
    • ID: nzv96tjh_62
    Snippet: A multinomial logistic regression was performed to model the relationship between paraphasia type (neologistic, phonemic, semantically related, unrelated) and task (connected speech, naming). Addition of the predictors to a model that contained only the intercept significantly improved the fit between model and data, c 2 (4,N=72)=60.998, Nagelkerke R 2 =.76, p<.001. The parameter estimates showed a significant difference between tasks for two par.....
    Document: A multinomial logistic regression was performed to model the relationship between paraphasia type (neologistic, phonemic, semantically related, unrelated) and task (connected speech, naming). Addition of the predictors to a model that contained only the intercept significantly improved the fit between model and data, c 2 (4,N=72)=60.998, Nagelkerke R 2 =.76, p<.001. The parameter estimates showed a significant difference between tasks for two paraphasia types: semantically related ( The scatterplots of the correlation between each paraphasia type by task are shown on the bottom of Figure 3 .

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