Academic Articles & Research Papers

Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization

Abstract Background Frailty models are extensively utilized in survival analysis to address unobserved heterogeneity among individuals. However, selecting the most robust model for survival prediction, especially in the context of high-dime...

Comparative Optimisation of Managed Portfolios Across Market Regimes

The study contributes a contemporary perspective to the evolving discourse on the relative performance of three managed investing styles: Deep Value, Growth, and Blended portfolios. Deep Value investing focuses on fundamentally strong but u...

Smoking behavior change and the risk of pneumonia hospitalization among smokers with diabetes mellitus

Abstract Smoking patients with diabetes mellitus (DM) are at greater risk of developing pneumonia. How smoking behavior changes affect the risk of pneumonia hospitalization, however, remains unclear. Therefore, we investigated the associati...

Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types

Abstract N6-Methyladenosine (m6A) is an RNA modification that interacts with numerous coding and non-coding RNAs and plays important roles in the development of cancers. Nonetheless, the clinical impacts of m6A interactive genes on these ca...

On Combined Maximal Precedence–Exceedance Test with Application to HIV Clinical Trials

This paper proposes a combined maximal precedence–exceedance test (MPErs) that integrates maximal precedence and maximal exceedance statistics tests to provide sensitivity to both early and late distributional differences between two sample...

Determination of Novel Estimations for the Slater Difference and Applications

The field of mathematical inequalities has exerted a profound influence across a multitude of scientific disciplines, making it a captivating and expansive domain ripe for research investigation. This article offers estimations for the Slat...

gllvm 2.0: fast fitting of advanced ordination methods and joint species distribution models

Background Over the past decade, joint species distribution models (JSDMs) and model-based ordination have emerged as powerful tools for the analysis of community ecology data. Generalized linear latent variable models (GLLVMs) offer a flex...

On the Moments and the Distribution of Aggregate Discounted Claims in a Markovian Environment

This paper studies the moments and the distribution of the aggregate discounted claims (ADCs) in a Markovian environment, where the claim arrivals, claim amounts, and forces of interest (for discounting) are influenced by an underlying Mark...

Discussion of “optimal reinsurance designs based on risk measures: a review” by Jun Cai and Yichun Chi

Marginal Impact of climate variability on crop yields in Ghana

The impacts of climate variability indicators on crop yields have attracted global attention over the years. This is particularly so because of the growing concern about the effect of climate change on sustainable food production, especiall...

Modelling the adsorption of iron and manganese by activated carbon from teak and shea charcoal for continuous low flow

Nearly 6494 boreholes with iron (Fe) and manganese (Mn) concentrations above permissible limits of 0.3 mg/L and 0.4 mg/L respectively in Ghana have been abandoned because of ineffective water treatment solutions. Activated carbon prepared f...

Beyond airborne spread: a dual-route Wells-Riley extension for estimating norovirus infection risk in Ghanaian pediatric wards

Background: The classic Wells–Riley model (CWRM) is a well-established framework for estimating airborne infection risk in shared indoor environments. This study extends the framework to simultaneously incorporate fecal–oral transmission, a...

Changes in the geographical distribution of youth poverty and social exclusion in EU member countries between 2008 and 2017

With respect to the fulfillment of the objectives of the Europe 2020 strategy, the threat of poverty and social exclusion has not been sufficiently reduced in the European Union (EU) over the past decade, and large regional disparities pers...

Long-Term Prognosis and Systemic Impact of Acromegaly: Analyses Utilizing Korean National Health Insurance Data

Acromegaly is a rare endocrine disorder caused by excessive growth hormone secretion. Its low prevalence poses challenges in studying its long-term prognosis and systemic effects. To address this research gap, we conducted five studies usin...

Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers

In cancer many gene variants may contribute to disease etiology, but the impact of a given gene variant may have varied effect size. Here, the authors analyse summary statistics of genome-wide association studies from fourteen cancers, and ...

Modeling antiretroviral therapy adherence among people living with HIV: a cross-sectional study at Pantang Hospital, Ghana

Abstract Background Poor adherence to antiretroviral therapy (ART) continues to undermine HIV treatment outcomes in sub-Saharan Africa, including Ghana. Objective This study aimed to quantify ART treatment adherence among people living with...

Robustness analysis of a Continuous-Time Markov Jump Process model for herd behaviour under stochastic shocks

Herd behaviour in socio-economic systems is characterised by asynchronous, stochastic decision-making that traditional models capture imperfectly. Discrete-time DTMCs impose fixed-tick synchrony and require binning, which distorts event tim...

Ranking of treatments in network meta-analysis: incorporating minimally important differences

Abstract Background In network meta-analysis (NMA), the magnitude of difference between treatment effects is typically ignored in the calculation of ranking metrics, such as probability best and surface under the cumulative ranking curve (S...

Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method

In this extant paper, a multivariate time series model using the seemingly unrelated times series equation (SUTSE) framework is proposed to forecast the peak and short-term electricity demand using time series data from February 2, 2014, to...

An artificial neural network-based model for predicting paratransit travel time

The nature of paratransit services makes for increased uncertainty in trip time, leading to reported unreliability and dissatisfaction by the users. While providing travel information has proved helpful in formal bus services and has been r...