Predicting adolescent psychopathology from early life factors: A machine learning tutorial [0.03%]
基于早期生命因素预测青少年心理障碍：机器学习教程
Faizaan Siddique,Brian K Lee
Faizaan Siddique
Objective: The successful implementation and interpretation of machine learning (ML) models in epidemiological studies can be challenging without an extensive programming background. We provide a didactic example of machi...
Examining the COVID-19 impact on cancer surgery in Ireland using three national data sources [0.03%]
基于三个国家级数据源 examining covid-19 对爱尔兰癌症手术的影响
Mengyang Zhang,Caitriona Kelly,Triona McCarthy et al.
Mengyang Zhang et al.
Background: The healthcare system in Ireland was profoundly affected by COVID-19. This study aimed to explore the impact of the pandemic on cancer surgery in Ireland, from 2019 to 2022 using three national health data sou...
Adult mortality from non-communicable diseases in Fiji's major ethnic groups 2013-17 [0.03%]
2013-2017年斐济主要民族群体的非传染性疾病成人死亡率
Catherine Dearie,Christine Linhart,Carah Figueroa et al.
Catherine Dearie et al.
Background: Sustainable Development Goal 3.4.1 (SDG3.4.1) targets a one-third reduction in non-communicable disease (NCD) mortality in ages 30-69-years by 2030 (relative to 2015). Directing interventions to achieve this a...
Conceptual frameworks for the integration of genetic and social epidemiology in complex diseases [0.03%]
复杂疾病遗传学与社会流行病学整合的概念框架
Diane Xue,Anjum Hajat,Alison E Fohner
Diane Xue
Uncovering the root causes of complex diseases requires complex approaches, yet many studies continue to isolate the effects of genetic and social determinants of disease. Epidemiologic efforts that under-utilize genetic epidemiology method...
Adjustment for sparse data bias in odds ratios: Significance to appraisal of risk of diabetes due to occupational trichlorfon insecticide exposure [0.03%]
稀疏数据偏差对比值比的影响及对糖尿病职业三氯酚农药暴露危险评价的意义
Igor Burstyn,David Miller
Igor Burstyn
Background: Bias away from the null in odds ratios (OR), aggravated by low power, is a well-known phenomenon in statistics (sparse data bias). Such bias increases in presence of selection of "significant" results on the b...
Brian S Williams,Thomas M Piasecki,Michael C Fiore et al.
Brian S Williams et al.
Background: Older adults are at higher risk of severe outcomes from COVID-19 with comorbidities increasing such risk. Much less is known about the outcomes of young adults with COVID-19 despite their having had high infec...
Letter to editor regarding: "Moral controversies and academic public health: Notes on navigating and surviving academic freedom challenges" by professor VanderWeele [0.03%]
关于文德利教授论文“道德争议与学术公共卫生：应对和适应学术自由挑战的几点思考”的来信
Robert Litwack,Victor DeGruttola
Robert Litwack
Alessandro Rovetta,Mohammad Ali Mansournia,Alessandro Vitale
Alessandro Rovetta
As widely noted in the literature and by international bodies such as the American Statistical Association, severe misinterpretations of P-values, confidence intervals, and statistical significance are sadly common in public health. This sc...
SARS-CoV-2 infection prevalence, risk factors, and outcomes among non-clinical-related service providers in a national healthcare system [0.03%]
一国全国性卫生体系中非临床相关服务提供者感染SARS-CoV-2的流行率、危险因素和转归情况
Moza Aishaq,Hanaa Nafady-Hego,Fatma Ben Abid et al.
Moza Aishaq et al.
Health care workers (HCWs) may be at a variable risk of SARS-CoV2 infection. Regardless of their involvement in providing direct clinical treatment, most of the prior research had included all HCWs. Understanding infection rates, risk facto...