Authors: Lina Buitrago, Juan Sosa, Oscar Melo
arXiv
In this paper, we propose a novel association measure for longitudinal studies based on the traditional definition of relative risk. In a Markovian fashion, such a proposal takes into account the info...
Authors: Gabriele Pittarello, Edoardo Luini, Manfred Marvin Marchione
arXiv
This paper introduces $\textbf{gemact}$, a $\textbf{Python}$ package for actuarial modelling based on the collective risk model. The library supports applications to risk costing and risk transfer, lo...
Authors: África Periáñez, Andrew Trister, Madhav Nekkar, Ana Fernández del Río, Pedro L. Alonso
arXiv
Malaria can be prevented, diagnosed, and treated; however, every year, there are more than 200 million cases and 200.000 preventable deaths. Malaria remains a pressing public health concern in low- an...
Authors: Zhong Wang
arXiv
"Q Zhang's Problem" is a teaching problem proposed by Qian Zhang, a science teacher at Dongjiao Minxiang Primary School in Dongcheng District, Beijing. In 2022, she proposed that: (1) when explaining...
Authors: Ludwig A. Hothorn
arXiv
Analysis of variance (ANOVA) reveals some disadvantages, such as non-robustness against heteroscedastic or non-normal errors and using difference to overall mean as effect sizes only. As an alternativ...
Authors: Elena Moltchanova, Daniel Gerhard, Rory Ellis
arXiv
Growth curves are commonly used in modeling aimed at crop yield prediction. Fitting such curves often depends on availability of detailed observations, such as individual grape bunch weight or individ...
Authors: Yiming Ma, Hang Liu, Shanyong Wang
arXiv
Linear regression models, especially the extended STIRPAT model, are routinely-applied for analyzing carbon emissions data. However, since the relationship between carbon emissions and the influencing...
Authors: Chen Cheng, Linjie Wen, Jinglai Li
arXiv
In this work we study systems consisting of a group of moving particles. In such systems, often some important parameters are unknown and have to be estimated from observed data. Such parameter estima...
Authors: Giacomo Ascione, Michele Bufalo, Giuseppe Orlando
arXiv
This paper delves into the impact of natural disasters on affected populations and underscores the imperative of reducing disaster-related fatalities through proactive strategies. On average, approxim...
Authors: Paulo Roberto Cabral-Passos, Antonio Galves, Jesus Enrique Garcia, Claudia Domingues Vargas
arXiv
Acting as a goalkeeper in a video-game, a participant is asked to predict the successive choices of the penalty taker. The sequence of choices of the penalty taker is generated by a stochastic chain w...
Authors: Alexander Smith, Steven Schilling, Prodromos Daoutidis
arXiv
Shape affects both the physical and chemical properties of a material. Characterizing the roughness, convexity, and general geometry of a material can yield information on its catalytic efficiency, so...
Authors: Masahiro Kojima, Wu Wende, Henry Zhao
arXiv
Purpose: During discussions at the Data Science Roundtable meeting in Japan, there were instances where the adoption of the BOIN design was declined, attributed to the extension of study duration and...
Authors: Sean Jeon, Seungmin Han
arXiv
Accurate air pollution forecasting plays a crucial role in controlling air quality and minimizing adverse effects on human life. Among pollutants, atmospheric particulate matter (PM) is particularly s...
Authors: Supraja Malladi, Indranil Sahoo, QiQi Lu
arXiv
End-stage renal disease has many adverse complications associated with it leading to 20-50% higher mortality rates in people than those without the disease. This makes it one of the leading causes of...
Authors: Ivana Malenica, Yongyi Guo, Kyra Gan, Stefan Konigorski
arXiv
App-based N-of-1 trials offer a scalable experimental design for assessing the effects of health interventions at an individual level. Their practical success depends on the strong motivation of parti...