Results 251 to 260 of about 3,209,047 (297)

Pairwise interaction analysis of logistic regression models

2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016
An important problem in the field of bioinformaties is to identify interactive effects among profiled variables for outcome prediction. In this paper, a simple logistic regression model with pairwise interactions among a set of binary covariates is considered. Modeling the structure of the interactions by a graph, our goal is to recover the interaction
Easton Li Xu, Xiaoning Qian, Tie Liu 0002, Shuguang Cui   +3 more
openaire   +1 more source

Logistic regression analysis of sample survey data

Biometrika, 1987
Standard chi-squared, \(X^ 2\), or likelihood ratio, \(G^ 2\), test statistics for logistic regression analysis, involving a binary response variable, are adjusted to take account of the survey design. These adjustments are based on certain generalized design effects.
Roberts, G., Rao, J. N. K., Kumar, S.
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ANALYSIS OF LOGISTIC REGRESSION FOR ERGODIC PREDICTOR VECTORS

Statistics & Risk Modeling, 1994
Summary: A random effects logistic regression model, where the explanatory variables follow a time series is proposed. The asymptotic normality of the maximum likelihood estimates of the logistic regression coefficients is established under certain conditions. The analysis of such data can be carried out with the standard statistical packages.
Selukar, Rajesh, Kulkarni, Pandu
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TOPICS IN LOGISTIC REGRESSION ANALYSIS

2016
Discrete-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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Internal validation of predictive models: efficiency of some procedures for logistic regression analysis.

Journal of Clinical Epidemiology, 2001
E. Steyerberg, F. Harrell, G. Borsboom, M. Eijkemans, Y. Vergouwe, J. Habbema   +5 more
semanticscholar   +1 more source

A computer program for linear logistic regression analysis

Computer Programs in Biomedicine, 1974
Abstract 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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Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis

, 2003
Sunil Rao
semanticscholar   +1 more source

Discriminant analysis and logistic regression

2022
Pat Dugard, John Todman, Harry Staines
openaire   +1 more source

A Comparative Analysis of Logistic Regression, Random Forest and KNN Models for the Text Classification

Augmented Human Research, 2020
Kanish Shah, Henil Patel, D. Sanghvi, Manan Shah   +3 more
semanticscholar   +1 more source

Logistic regression and discriminant analysis

Journal of the American Veterinary Medical Association, 1991
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