Univariate and Multivariate Logistic Regression Analyses
Predictive factors for infertility of women: an univariate and multivariate logistic regression analysis
... the univariate and multivariate logistic regression showed that the husband’s education could be considered as a predictor of female ...
8
The importance of univariate logistic regression analysis in logistic regression analysis
... for logistic regression ...data logistic regression being with the dependent variable having a data structure with a two-level or multi-level categorical, has an important place in the ...
Multivariate Logistic Regression
... We have OR = e zβ i for any variable X i , i = 1, 2, . . . , p, where the OR represents the odds ratio for a change of size z for that variable. • When the variables are not uncorrelated, the interpretation is more ...
21
Multivariate logistic regression analysis using multilevel model
... linear regression models is the statistical independence of ...general regression models may not be ...utilizes multivariate logistic regression model using a multilevel model to ...
5
Multivariate logistic regression with incomplete covariate and auxiliary information
... the multivariate regression parameters, and their corresponding standard ...joint multivariate approach over the marginal approach for individual outcomes is that in the multivariate case, we ...
9
Univariate and multivariate Pareto models
... for multivariate Pareto data. Creative Bayesian analyses involving informative priors, in multivariate settings and in cases involving covariates, are also notable for their ...
16
P< 0.001). Univariate and multivariate survival analyses further showed that miR-182 expression was
... A multivariate Cox proportional hazard regression analysis revealed that miR-182 overexpression was a worse prognostic impact on the overall survival of CRC patients independent of distant metas- ...
6
Effects of wheat cultivar and harvest year on technological quality studied by univariate and multivariate analyses
... Bread volumes of the cultivar Bezostaja are in correspondence with the protein contents in each harvest year, but bread volumes from the cultivar Jagger were mutually comparable rega[r] ...
8
Logistic regression analyses of factors affecting fertility of intrauterine adhesions patients
... binary logistic regression models, or in stepwise logistic regression analysis of all covariates, endometrial thickness was not an independent factor determining the reproductive ...
13
Geographical variation of unmet medical needs in Italy: a multivariate logistic regression analysis
... services. Logistic regression results suggest that some population groups are more vulnerable than others to experiencing unmet health needs and to reporting some categories of ...
11
Bayesian Logistic Regression Model with Integrated Multivariate Normal Approximation for Big Data
... Chapter 4 Application 4.1 Health Status Data The source of the data should be reliable. To apply the Integrated Multivariate Normal Approximation (IMNA) Logistic method, we need binary response variable and ...
73
Multivariate Logistic Regression Analysis of Complex Survey Data with Application to BRFSS Data
... marginal multivariate approach using GEE techniques (Liang and Zeger, 1986; Prentice, 1988; Lipsitz et ...single regression model; second, it allows the assessment of correlation between outcomes by taking ...
17
Outcomes of High-Risk Pregnancies in Northern Iran: Multivariate Logistic Regression Model
... Our study showed that more than one-tenth of pregnancies in the study area led to adverse outcomes. According to univariate analyses, preeclampsia, history of abortion, and intervals between pregnancies ...
7
Multivariate analyses
... Partitioning multivariate variance Reporting multivariate outcome When we have run the MANOVA analysis in SPSS, we are presented with several lines of multivar- iate ...
45
A Multivariate Binary Logistic Regression Modeling For Assessing Various Risk Factors That Affect Diabetes
... of multivariate logistic regression model to assess the effect of various risk factors like age, BMI, meal-regularity and fast-food consumption on the prevalence of diabetes spatially in urban and ...
11
Feature selection with interactions in logistic regression models using multivariate synergies for a GWAS application.
... on univariate analysis to screen fea- tures based on the estimated “individual” or “marginal” effects on the outcome of interest, for example, when looking for genetic risk factors from Single Nucleotide ...
10
Multinomial Logistic Regression
... Multinomial logistic regression does necessitate careful consideration of the sample size and examination for outlying ...careful univariate, bivariate, and multivariate ...
6
Inconsistent treatment estimates from mis-specified logistic regression analyses of randomized trials
... While the qualitative effect on the treatment estimator of including more baseline variables in a logistic regression has been appreciated for some time, the current paper provides a quantitative assessment ...
17
Logistic regression applied to natural hazards: rare event logistic regression with replications
... event logistic regres- sion, as it is now commonly used in geomorphologic stud- ies, does not always lead to a robust detection of controlling factors, as the results can be strongly ...logistic ...
11
Predictive factors for loneliness in female high school students; an unvariate and multivariate logistic regression analysis
... The univariate logistic regression analysis demonstrates that education field, father’s education and father’s occupation were different between the groups ...In multivariate logistic ...
6