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Multinomial Logistic Regression Analysis
2017The usage of mixed methods approach on qualitative data has been exemplified in this chapter. The chapter presents the relevance of using multinomial regression approach in the study and discusses its results. The chapter is insightful for readers looking forward to learning practical applications of quantitative techniques on qualitative data.
Nausheen Nizami, Narayan Prasad
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Applied Logistic Regression Analysis
Technometrics, 1996Eric R. Ziegel, Scott Menard
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TOPICS IN LOGISTIC REGRESSION ANALYSIS
2016Discrete-time Markov chains have been used to analyze the transition of subjects from intact cognition to dementia with mild cognitive impairment and global impairment as intervening transient states, and death as competing risk. A multinomial logistic regression model is used to estimate the probability distribution in each row of the one-step ...
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A computer program for linear logistic regression analysis
Computer Programs in Biomedicine, 1974Abstract Given a set of binary data (success of failure) and measurements of p explanatory variables corresponding to each case, a computer program has been written to perform regression analysis utilizing Cox's linear logistic model. A prototype example is to assess any dependence of the probability of response or complete remission on patient ...
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Logistic regression and discriminant analysis
Journal of the American Veterinary Medical Association, 1991openaire +2 more sources
Discriminant analysis and logistic regression
2022Pat Dugard, John Todman, Harry Staines
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Logistic regression was as good as machine learning for predicting major chronic diseases
Journal of Clinical Epidemiology, 2020Simon Nusinovici +2 more
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