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For the past two decades, the discussion regarding the effect of ICT on health systems is becoming apparent. However, past studies have mainly focused on ICT impact on specific social-economic phenomena. Little empirical research on ICT and…

计算机与社会 · 计算机科学 2016-05-24 Felix Olu Bankole , Lucas Mimbi

Cluster randomized trials (CRTs) are popular in public health and in the social sciences to evaluate a new treatment or policy where the new policy is randomly allocated to clusters of units rather than individual units. CRTs often feature…

统计方法学 · 统计学 2019-08-16 Hyunseung Kang , Luke Keele

Introduction. It is well known that social contact patterns differ from country to country. This variation coincides with significant socioeconomic heterogeneity that complicates the design of effective non-pharmaceutical interventions.…

动力系统 · 数学 2023-03-31 Evans Kiptoo Korir , Zsolt Vizi

Randomized controlled trials (RCTs) are considered the gold standard for estimating the average treatment effect (ATE) of interventions. One use of RCTs is to study the causes of global poverty -- a subject explicitly cited in the 2019…

机器学习 · 计算机科学 2023-05-26 Connor T. Jerzak , Fredrik Johansson , Adel Daoud

Prevalence of open defecation is associated with adverse health effects, detrimental not only for the individual but also the community. Therefore, neighborhood characteristics can influence collective progressive behavior such as improved…

综合经济学 · 经济学 2023-12-27 Sania Ashraf , Cristina Bicchieri , Upasak Das , Tanu Gupta , Alex Shpenev

We study heterogeneity in the effect of a mindset intervention on student-level performance through an observational dataset from the National Study of Learning Mindsets (NSLM). Our analysis uses machine learning (ML) to address the…

应用统计 · 统计学 2018-11-16 Fredrik D. Johansson

Safe sanitation access is commonly believed to be ubiquitous in high-income countries; however, researchers and community advocates have exposed a glaring lack of access for many low-income communities and communities of color across the…

Machine learning is increasingly used to select which individuals receive limited-resource interventions in domains such as human services, education, development, and more. However, it is often not apparent what the right quantity is for…

机器学习 · 计算机科学 2025-03-20 Vibhhu Sharma , Bryan Wilder

Cluster-randomized trials (CRTs) are widely used to evaluate interventions delivered at the clinic, practice, or community level. Although standard analyses typically target average treatment effects, such summaries mask potentially…

统计方法学 · 统计学 2026-04-16 Changjun Li , Xi Fang , Michael O. Harhay , Andrew B. Forbes , F. Perry Wilson , Guangyu Tong , Fan Li

Heterogeneous treatment effects (HTEs) are commonly identified during randomized controlled trials (RCTs). Identifying subgroups of patients with similar treatment effects is of high interest in clinical research to advance precision…

机器学习 · 计算机科学 2022-12-06 Peniel N. Argaw , Elizabeth Healey , Isaac S. Kohane

Various poverty reduction strategies are being implemented in the pursuit of eliminating extreme poverty. One such strategy is increased access to microcredit in poor areas around the world. Microcredit, typically defined as the supply of…

综合经济学 · 经济学 2020-11-23 Melvyn Weeks , Tobias Gabel Christiansen

Fighting against climate change is a global challenge shared by nations with heterogeneous economical resources and individuals with diverse propensity for cooperation. However, we lack a clear understanding of the role of key factors such…

A significant proportion of slum residents offer vital services that are relied upon by wealthier urban residents. However, the lack of access to clean drinking water and adequate sanitation facilities causes considerable health risks for…

综合经济学 · 经济学 2023-10-06 Mohammad Nur Nobi

In randomized controlled trials (RCTs) of infectious disease interventions, it is well recognized that unmeasured individual heterogeneity at baseline can induce selection bias over time, thereby complicating the interpretation of the…

统计方法学 · 统计学 2026-04-24 Hiroyasu Ando , A. James O'Malley , Akihiro Nishi

Cluster or group randomized trials (CRTs) are increasingly used for both behavioral and system-level interventions, where entire clusters are randomly assigned to a study condition or intervention. Apart from the assigned cluster-level…

统计方法学 · 统计学 2024-11-19 Shubhadeep Chakraborty , Bo Wang , Ram Tiwari , Samiran Ghosh

Many social and environmental phenomena are associated with macroscopic changes in the built environment, captured by satellite imagery on a global scale and with daily temporal resolution. While widely used for prediction, these images and…

统计方法学 · 统计学 2024-07-25 Connor T. Jerzak , Ritwik Vashistha , Adel Daoud

Open defecation, which is linked to poor health outcomes and lower cognitive ability has been widespread in India. Improved sanitation practice generates local health externalities, which implies that the returns to private toilet usage…

综合经济学 · 经济学 2026-04-06 Sania Ashraf , Cristina Bicchieri , Upasak Das , Alex Shpenev

Background: In settings where proof-of-principle trials have succeeded but the effectiveness of different forms of implementation remains uncertain, trials that not only generate information about intervention effects but also provide…

定量方法 · 定量生物学 2017-05-16 Guy Harling , Rui Wang , Jukka-Pekka Onnela , Victor De Gruttola

Cluster randomized trials (CRTs) are a popular design to study the effect of interventions in infectious disease settings. However, standard analysis of CRTs primarily relies on strong parametric methods, usually mixed-effect models to…

统计方法学 · 统计学 2021-09-23 Chan Park , Hyunseung Kang

Understanding the impact of network clustering and small-world properties on epidemic spread can be crucial in developing effective strategies for managing and controlling infectious diseases. Particularly in this work, we study the impact…

社会与信息网络 · 计算机科学 2023-10-20 Mohammadreza Doostmohammadian , Houman Zarrabi , Azam Doustmohammadian , Hamid R. Rabiee
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