Cervical cancer is the most common that causes death in women. This mainly caused by Human Papilloma Virus (HPV). It estimated 52 million of Indonesian women are at risk having cancer, and 36% female patients suffer from cervical cancer. type cannot be diagnosed immediately as there several years pre-malignancy phase; thus, early detection or screening needed to prevent it turning into malignan...

In cases where the dependent variable is categorical and ordinal, Ordinal Logistic Regression Model used for model estimation. order to predict Model, it must provide parallel lines assumption. study, happiness levels of divorced individuals were estimated with ordinal logistic regression model. The data set in analysis was obtained from Life Satisfaction Survey implemented by Turkish Statistic...

This regression analysis studies of dumper drivers were conducted for an opencast mine located in one of mine of Jharia Coal field, Jharkhand, India. Statistical tools have been developed in the light of analylitical principles to see whether there is any role of some personal and impersonal factors in the occurrence of coal miners’ injuries. With the progress in exploitation of minerals, safet...

The problem of estimating the variance parameter robustly in a heteroscedatic linear model is considered. The situation where the variance is a function of the explanatory variables is treated. To estimate the variance robustly in this case, it is necessary to guard against the influence of outliers in the design as well as outliers in the response. By analogy with the homoscedastic regression ...

Safety professionals and practitioners are always searching for methods to accurately assess the association between exposures and possible occupational disorders or diseases and predict the outcome of any variable. Statistical analysis and logistic regression (LR) in particular are among the most popular tools being used today. Artificial neural network (ANN) models are another method of predi...

Researchers have a variety of options when choosing statistical software packages that can perform ordinal logistic regression analyses. However, statistical software, such as Stata, SAS, and SPSS, may use different techniques to estimate the parameters. The purpose of this article is to (1) illustrate the use of Stata, SAS and SPSS to fit proportional odds models using educational data; and (2...

The stereotype logistic (SL) model is an alternative to the proportional odds (PO) model for ordinal response variables when the proportional odds assumption is violated. This model seems to be underutilized. One major reason is the constraint of current statistical software packages. Statistical Package for the Social Sciences (SPSS) cannot perform the SL regression analysis, and SAS does not ...