[HTML][HTML] Bivariate logistic regression model diagnostics applied to analysis of outlier cancer patients with comorbid diabetes and hypertension in Malawi
The joint occurrence of diabetes and hypertension conditions in a patient is common. The
two diseases share a number of risk factors, and are hence usually modelled concurrently …
two diseases share a number of risk factors, and are hence usually modelled concurrently …
A novel outlier statistic in multivariate survival models and its application to identify unusual under-five mortality sub-districts in Malawi
Although under-five mortality (U5M) rates have declined worldwide, many countries in sub-
Saharan Africa still have much higher rates. Detection of subnational areas with unusually …
Saharan Africa still have much higher rates. Detection of subnational areas with unusually …
[HTML][HTML] A bivariate Poisson regression to analyse impact of outlier women on correlation between female schooling and fertility in Malawi
TM Kaombe - BMC Women's Health, 2024 - Springer
Background Women's levels of education and fertility are commonly associated. In Sub-
Saharan Africa, the pace of decreasing fertility rates varies greatly, and this is linked to …
Saharan Africa, the pace of decreasing fertility rates varies greatly, and this is linked to …
Detection of influential observations in high-dimensional survival data
P Divya, S Suresh - … in Statistics: Case Studies, Data Analysis and …, 2023 - Taylor & Francis
Survival analysis is a statistical technique mainly used to analyze time-to-event data.
Identification of influential observation attains greater importance since it leads to …
Identification of influential observation attains greater importance since it leads to …
Identifying Outlying and Influential Clusters in Multivariate Survival Data Models
In regression analysis, diagnostic statistics serve to assess the quality of fit of the model to
data and investigate if there are observations that are not well represented by the model …
data and investigate if there are observations that are not well represented by the model …