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Logistic regression

In regression analysis, logistic regression [1] (or logit regression) estimates the... In binary logistic regression there is a single binary dependent variable, coded by an indicator...

Binary logistic regression analysis of variables predicting IRA patency. a | Download Table

Download Table | Binary logistic regression analysis of variables predicting IRA patency. a from publication: The impact of systems-of-care on pharmacoinvasive management with streptokinase: The su...

ERIC - EJ1208790 - Binary Logistic Regression Analysis of Teacher Self-Efficacy Factors Influencing Liter....

The t-test and one-way analysis of variance (ANOVA) were used to analyze the differences... Binary logistic regression was applied to predict the influence of teacher efficacy on literacy...

Binary logistic regression analysis of hard palate dimensions for sexing human c - DBpia

The dimensions measured were statistically analyzed using Student’s t test, binary logistic regression and receiver operating characteristic curve. It was observed that the incisive...

Comparative Performance Analysis between Conventional and Islamic Banks in Bangl - EMERiCs 신흥지역정보 종....

In order to answer the research question the study uses binary logistic regression. Using 223 observations of 23 convention banks and 7 Islamic banks of Bangladesh during 2003 to 2013, the...

Multilevel binary logistic regression assumptions

I am struggling to work out the assumptions of hierarchical binary logistic regression, to test whether my data is suitable for such an analysis. My data is repeated measures (each participant ID

Multicollinearity in binary logistic regression analysis after latent class anal - Cross Validated

I am attempting to conduct a binary logistic regression but I have come to a roadblock relating to multicollinearity. I originally conducted a latent class analysis which resulted in the identifica...

No rationale for 1 variable per 10 events criterion for binary logistic regression analysis | BMC Medical....

Ten events per variable (EPV) is a widely advocated minimal criterion for sample size considerations in logistic regression analysis. Of three previous simulation studies that examined this minimal...

Multivariate Binary Logistic Regression Analysis of respondents' odds of higher worry level from Monkeypo....

Download scientific diagram | Multivariate Binary Logistic Regression Analysis of respondents' odds of higher worry level from Monkeypox disease compared to COVID-19. from publication: Monkeypox Po...

Orthogonal polynomial contrasts in SPSS (for a binary logistic regression)

I'm doing a binary logistic regression. I've been advised to do orthogonal polynomial... contrast analysis by SPSS, one can follow these steps: Define the predictor variable as a factor and...

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