Mitigation of biases in estimating hazard ratios under non-sensitive and non-specific observation of outcomes-applications to influenza vaccine effectiveness [0.03%]
估计结局非敏感性和非特异观察下的风险比偏差的修正及在流感疫苗效果评估中的应用
Ulrike Baum,Sangita Kulathinal,Kari Auranen
Ulrike Baum
Background: Non-sensitive and non-specific observation of outcomes in time-to-event data affects event counts as well as the risk sets, thus, biasing the estimation of hazard ratios. We investigate how imperfect observati...
Comparing methods of performing geographically targeted rural health surveillance [0.03%]
地理目标农村卫生监测方法比较
David C Lee,Nancy A McGraw,Kelly M Doran et al.
David C Lee et al.
Background: Worsening socioeconomic conditions in rural America have been fueling increases in chronic disease and poor health. The goal of this study was to identify cost-effective methods of deploying geographically tar...
Stuart G Baker
Stuart G Baker
A key aspect of the article by Lousdal on instrumental variables was a discussion of the monotonicity assumption. However, there was no mention of the history of the development of this assumption. The purpose of this letter is to note that...
Response to: Simpson's Paradox is suppression, but Lord's Paradox is neither: clarification of and correction to Tu, Gunnell, and Gilthorpe (2008) by Nickerson CA & Brown NJL (https://doi.org/10.1186/1742-7622-5-2) [0.03%]
对Tu等（2008）关于辛普森悖论和劳德悖论的文章的回应：尼科森和布朗关于澄清和纠正Tu等（2008）文章的观点
Mark S Gilthorpe,Yu-Kang Tu
Mark S Gilthorpe
We commend Nickerson and Brown on their insightful exposition of the mathematical algebra behind Simpson's paradox, suppression and Lord's paradox; we also acknowledge there can be differences in how Lord's paradox is approached analyticall...
Simpson's Paradox is suppression, but Lord's Paradox is neither: clarification of and correction to Tu, Gunnell, and Gilthorpe (2008) [0.03%]
辛普森悖论属于抑制，而洛尔悖论既不属于抑制也不构成悖论——对Tu等（2008）的澄清和更正
Carol A Nickerson,Nicholas J L Brown
Carol A Nickerson
Tu et al. (Emerg Themes Epidemiol 5:2, 2008. https://doi.org/10.1186/1742-7622-5-2) asserted that suppression, Simpson's Paradox, and Lord's Paradox are all the same phenomenon-the reversal paradox. In the reversal paradox, the association ...
Stefano Nembrini
Stefano Nembrini
The journal published a review of the literature on recursive partition in epidemiological research comparing two decision tree methods: classification and regression trees (CARTs) and conditional inference trees (CITs). There are two sourc...
Health monitoring among asylum seekers and refugees: a state-wide, cross-sectional, population-based study in Germany [0.03%]
德国境内针对寻求庇护者和难民的健康监测：一项全州范围内的横断面人群研究
Louise Biddle,Natalja Menold,Martina Bentner et al.
Louise Biddle et al.
Background: Health monitoring in Germany falls short on generating timely, reliable and representative data among migrants, especially transient and marginalized groups such as asylum seekers and refugees (ASR). We aim to...
(Re-) conceptualising vulnerability as a part of risk in global health emergency response: updating the pressure and release model for global health emergencies [0.03%]
重构全球卫生紧急事件中的脆弱性风险概念：更新全球卫生紧急事件的压力释放模型
Charlotte Christiane Hammer,Julii Brainard,Alexandria Innes et al.
Charlotte Christiane Hammer et al.
Vulnerability has become a key concept in emergency response research and is being critically discussed across several disciplines. While the concept has been adopted into global health, its conceptualisation and especially its role in the ...
On the collapsibility of measures of effect in the counterfactual causal framework [0.03%]
反事实因果框架中效应度量的可塌缩性研究
Anders Huitfeldt,Mats J Stensrud,Etsuji Suzuki
Anders Huitfeldt
The relationship between collapsibility and confounding has been subject to an extensive and ongoing discussion in the methodological literature. We discuss two subtly different definitions of collapsibility, and show that by considering ca...
Assessment of demographic and perinatal predictors of non-response and impact of non-response on measures of association in a population-based case control study: findings from the Georgia Study to Explore Early Development [0.03%]
基于人群的病例对照研究中人口学和妊娠期预测值与非应答关系的评估以及非应答对于关联度测量的影响：来自佐治亚早期发展探索研究的结果
Laura A Schieve,Shericka Harris,Matthew J Maenner et al.
Laura A Schieve et al.
Background: Participation in epidemiologic studies has declined, raising concerns about selection bias. While estimates derived from epidemiologic studies have been shown to be robust under a wide range of scenarios, addi...