Endogeneity in Logistic Regression Models
Emerging Infectious Diseases, 2005 George Avery +2 more
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Chinese Journal of Contemporary Neurology and NeurosurgeryObjective To explore the impact of acute⁃phase volume load on clinical outcome in patients with branch atheromatous disease (BAD)⁃related stroke. Methods A total of 345 patients with BAD⁃related stroke were enrolled from June 2021 to June 2023 in the ...
HU Hai⁃zhou, LI Sheng⁃de, NI Jun
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Examining the Robustness of the Graded Response and 2-Parameter Logistic Models to Violations of Construct Normality. [PDF]
Educ Psychol Meas, 2022 Manapat PD, Edwards MC.
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Validation procedures in radiological diagnostic models. Neural network and logistic regression [PDF]
The objective of this paper is to compare the performance of two predictive radiological models, logistic regression (LR) and neural network (NN), with five different resampling methods.
Estanislao Arana +2 more
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Peanut Leaf Wilting Estimation From RGB Color Indices and Logistic Models. [PDF]
Front Plant Sci, 2021 Sarkar S +3 more
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Application of Local Influence Diagnostics to the Linear Logistic Regression Models [PDF]
This paper focuses the development of the diagnostics for the perturbations of case-weights and explanatory variables (one or more) in a linear logistic regression model.
M. ATAHARUL ISLAM, MONZUR HOSSAIN
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Testing Nonlinearity: Decision Rules for Selecting between Logistic and Exponential STAR Models. [PDF]
A new LM specification procedure to choose between Logistic and Exponential Smooth Transition Autoregressive (STAR) models is introduced. The new decision rule has better properties than those previously available in the literature when the model is ...
Escribano, Álvaro, Jordá, Oscar
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Matching IRT Models to Patient-Reported Outcomes Constructs: The Graded Response and Log-Logistic Models for Scaling Depression. [PDF]
Psychometrika, 2021 Reise SP +4 more
europepmc +1 more source
Comparing the Real-World Performance of Exponential-family Random Graph Models and Latent Order Logistic Models for Social Network Analysis. [PDF]
J R Stat Soc Ser A Stat Soc, 2022 Clark DA, Handcock MS.
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Sample Size and Robustness of Inferences from Logistic Regression in the Presence of Nonlinearity and Multicollinearity [PDF]
The logistic regression models has been widely used in the social and natural sciences and results from studies using this model can have significant impact. Thus, confidence in the reliability of inferences drawn from these models is essential.
Bergtold, Jason S. +2 more
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