The mixture cure rate model is the most commonly used cure rate model in the literature. In the c... more The mixture cure rate model is the most commonly used cure rate model in the literature. In the context of mixture cure rate model, the standard approach to model the effect of covariates on the cured or uncured probability is to use a logistic function. This readily implies that the boundary classifying the cured and uncured subjects is linear. In this article, we propose a new mixture cure rate model based on interval censored data that uses the support vector machine to model the effect of covariates on the uncured or the cured probability (i.e. on the incidence part of the model). Our proposed model inherits the features of the support vector machine and provides flexibility to capture classification boundaries that are nonlinear and more complex. The latency part is modeled by a proportional hazards structure with an unspecified baseline hazard function. We develop an estimation procedure based on the expectation maximization algorithm to estimate the cured/uncured probability ...
The disparity in under-five year-old mortality rates between rural and urban areas in Ghana as al... more The disparity in under-five year-old mortality rates between rural and urban areas in Ghana as also reported in other sub-Saharan African countries is a critical national concern. The purpose of this study is to examine the relative importance of major biosocial, demographic and economic factors associated with child mortality in Ghana. The study is an analytical cross-sectional design through secondary data analysis of the 2008 Ghana Demographic and Health Survey (GDHS) dataset for children. Series of multivariate Cox regression models were fitted to select the significant factors affecting child mortality both in urban and rural. Overall, the likelihood of death among under-five children in the rural areas was significantly higher than that in the urban areas (p<0.05). Breastfeeding, twins and size of child at birth were key determinants of mortality in the rural areas, but the influence of region of residence was similar in both rural and urban areas. The magnitude of the sign...
The issue of optimal family size, and its predictors, has dominated almost all socio-economic and... more The issue of optimal family size, and its predictors, has dominated almost all socio-economic and socio-cultural debates in Ghana, and rightly so because size of individual families together determine total population of the country . The main objective of this study is to determine the ideal family size desire in the Tamale metropolis. The study is an analytical cross-sectional design through primary data analysis of 511 respondents in the metropolis aged 16 years and above using well-structured questionnaire to analyse the salient determinants of the expressed desire family size. Poisson log-linear model was fitted to select significant factors affecting family size preferences among respondents in the metropolitan area. Overall, sex of respondent, educational attainment, marriage type, type of accommodation and sex preference were found to be statistically significant . Sensitizing people in the Tamale metropolis on family size preferences and strengthening family planning polici...
The mixture cure rate model is the most commonly used cure rate model in the literature. In the c... more The mixture cure rate model is the most commonly used cure rate model in the literature. In the context of mixture cure rate model, the standard approach to model the effect of covariates on the cured or uncured probability is to use a logistic function. This readily implies that the boundary classifying the cured and uncured subjects is linear. In this article, we propose a new mixture cure rate model based on interval censored data that uses the support vector machine to model the effect of covariates on the uncured or the cured probability (i.e. on the incidence part of the model). Our proposed model inherits the features of the support vector machine and provides flexibility to capture classification boundaries that are nonlinear and more complex. The latency part is modeled by a proportional hazards structure with an unspecified baseline hazard function. We develop an estimation procedure based on the expectation maximization algorithm to estimate the cured/uncured probability ...
The disparity in under-five year-old mortality rates between rural and urban areas in Ghana as al... more The disparity in under-five year-old mortality rates between rural and urban areas in Ghana as also reported in other sub-Saharan African countries is a critical national concern. The purpose of this study is to examine the relative importance of major biosocial, demographic and economic factors associated with child mortality in Ghana. The study is an analytical cross-sectional design through secondary data analysis of the 2008 Ghana Demographic and Health Survey (GDHS) dataset for children. Series of multivariate Cox regression models were fitted to select the significant factors affecting child mortality both in urban and rural. Overall, the likelihood of death among under-five children in the rural areas was significantly higher than that in the urban areas (p<0.05). Breastfeeding, twins and size of child at birth were key determinants of mortality in the rural areas, but the influence of region of residence was similar in both rural and urban areas. The magnitude of the sign...
The issue of optimal family size, and its predictors, has dominated almost all socio-economic and... more The issue of optimal family size, and its predictors, has dominated almost all socio-economic and socio-cultural debates in Ghana, and rightly so because size of individual families together determine total population of the country . The main objective of this study is to determine the ideal family size desire in the Tamale metropolis. The study is an analytical cross-sectional design through primary data analysis of 511 respondents in the metropolis aged 16 years and above using well-structured questionnaire to analyse the salient determinants of the expressed desire family size. Poisson log-linear model was fitted to select significant factors affecting family size preferences among respondents in the metropolitan area. Overall, sex of respondent, educational attainment, marriage type, type of accommodation and sex preference were found to be statistically significant . Sensitizing people in the Tamale metropolis on family size preferences and strengthening family planning polici...
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