Article
Computer Science, Interdisciplinary Applications
Zhiqiang Cao, Man Yu Wong
Summary: The estimation results for dietary intakes could be significantly different when taking measurement error into consideration compared to naive estimation. Using regression calibration as the correction method in the EPIC-InterAct study results in different hazard ratios for different nutrients, highlighting the importance of correcting measurement error in nutritional epidemiology studies.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Public, Environmental & Occupational Health
Galit Levi Dunietz, Erica C. Jansen, Shelley Hershner, Louise M. O'Brien, Karen E. Peterson, Ana Baylin
Summary: Sleep has significant impact on public health, and sleep epidemiology faces challenges similar to nutritional epidemiology research. Strategies used in combating measurement challenges in nutritional epidemiology may also be applicable in large-scale sleep investigations.
AMERICAN JOURNAL OF EPIDEMIOLOGY
(2021)
Article
Statistics & Probability
Abhra Sarkar, Debdeep Pati, Bani K. Mallick, Raymond J. Carroll
Summary: Estimating the densities of long-term average intakes of different dietary components in nutritional epidemiology is challenging due to the inability to directly measure these variables. A Bayesian semiparametric solution was proposed in this study, demonstrating its effectiveness through simulation experiments. Compared to other methods, this approach provides more realistic estimates of consumption patterns for episodically consumed dietary components.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2021)
Article
Environmental Sciences
Yougeng Lu, Rima Habre
Summary: Previous studies have only estimated air pollution exposure at places of residence. Overlooking human mobility in exposure estimation can lead to measurement error and ineffective public policies. This study simulated travel mobility patterns for residents of Los Angeles County and found that travel behavior correlated with exposure to outdoor PM2.5 and measurement error. Lower income individuals lived in more polluted neighborhoods and had longer commutes to work locations with elevated PM2.5 concentrations. Workers with long commutes had the lowest dynamic PM2.5 exposure, while workers relying on public transit had the highest exposure. The study provides insights into the effects of travel behavior on exposure measurement error and the need for accurate modeling of different population groups.
ATMOSPHERIC ENVIRONMENT
(2023)
Review
Health Care Sciences & Services
Varadan Sevilimedu, Lili Yu
Summary: Measurement error is common in statistics due to various reasons such as cost, convenience, and human error. It can result in biases, reduced power of statistical tests, and lower coverage probabilities in regression models. There are two broad categories of methods to correct for measurement error - functional models and structural models. Simulation extrapolation is one method that can be used for partial correction in both types of models.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2022)
Article
Environmental Sciences
Zezhong Tang, Mingyang Wu, Guangrong Song, Rong Yang, Youjie Wang
Summary: This study investigated the impact of global warming on prenatal ambient temperature and low Apgar scores. The findings showed that elevated ambient temperatures in different timing windows during late pregnancy were associated with increased risk of low Apgar scores. Additionally, a U-shaped relationship was observed between prenatal temperature exposure and low Apgar scores.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Public, Environmental & Occupational Health
Lillian A. Boe, Yasmin Mossavar-Rahmani, Daniela Sotres-Alvarez, Martha L. Daviglus, Ramon A. Durazo-Arvizu, Bharat Thyagarajan, Robert C. Kaplan, Pamela A. Shaw
Summary: Measurement error in self-reported diet can be reduced by using blood concentration biomarkers. This study explored the relationships between biomarker levels, self-reported intake, participant characteristics, and the power to detect associations with health outcomes. Some nutritional biomarkers showed good statistical power, but more research is needed to fully understand their potential.
AMERICAN JOURNAL OF EPIDEMIOLOGY
(2023)
Article
Multidisciplinary Sciences
Angela Gentile, Norberto Giglio, Maria Florencia Lucion, Ana Clara Martinez, Natalia Pejito, Maria del Valle Juarez
Summary: The study found that the number of annual varicella hospital outbreaks at the HNRG decreased significantly after varicella vaccine was introduced to NIP in Argentina with a relevant reduction in terms of costs.
Article
Oncology
Xinhui Liu, Jifeng Yang, Hongkai Li, Qing Wang, Yuanyuan Yu, Xiaoru Sun, Shucheng Si, Lei Hou, Lu Liu, Fan Yang, Ran Yan, Yifan Yu, Zhentao Fu, Zilong Lu, Dejin Li, Hao Xue, Xiaolei Guo, Fuzhong Xue, Xiaokang Ji
Summary: This study quantitatively evaluated the contribution of hereditary and environmental factors to cancer development by analyzing cancer data from across the globe, China, and Shandong province. The results indicate that genetic and environmental factors contribute at least 92% to the variation in cancer risk among tissues. Additionally, it is suggested that mutations in stem cells are more likely to lead to cancer than in progenitor or differentiated cells.
Article
Economics
Nayoung Lee
Summary: This paper examines the potential biases in studies on economic mobility and poverty dynamics caused by reported income. By using a linear measurement error model, the study finds substantial classical measurement error in reported data, resulting in a bias towards zero in income dynamics estimation. However, time-invariant non-classical measurement error and unobserved heterogeneity offset the impact of classical measurement error. The study also identifies that the standard deviation of the measurement error is around 70% of the equation error in the income model, indicating the significant presence of random measurement error.
EMPIRICAL ECONOMICS
(2022)
Article
Physics, Multidisciplinary
Alonso Saldana-Heredia, Victor Martinez-Calzada, Victor Uriel Del Villar-Ramirez, Adriana Rodriguez-Torres
Summary: This research focused on studying an impact reaction that occurred far from its origins. A metal box filled with sand was used to simulate a rigid body, with a steel bar embedded to represent the fuselage and wing. The impact was applied to the rigid body and the displacement of the steel bar was measured using an optical technique and digital image correlation. The results were analyzed using a modified Gauss-Newton approach, with a maximum standard error deviation of 0.144.
FRONTIERS IN PHYSICS
(2022)
Article
Quantum Science & Technology
Zhenghua Li, Xiangyu Wang, Ziyang Chen, Tao Shen, Song Yu, Hong Guo
Summary: Continuous-variable measurement-device-independent quantum key distribution (CV-MDI QKD), with Bell detection as its core, can effectively defend against attacks on the detection system. However, in CV-MDI QKD, the untrustworthiness of Charlie and non-ideal Bell detection caused by the external environment create security vulnerabilities. We conducted a comprehensive security analysis of non-ideal Bell detection caused by non-orthogonal measurement. Simulation results show that even a 1-degree angle error can lead to a decrease in transmission distance by 7 km. Therefore, our research further enhances and improves the security of CV-MDI QKD.
QUANTUM INFORMATION PROCESSING
(2023)
Article
Environmental Sciences
Keiko Yamazaki, Atsuko Ikeda-Araki, Chihiro Miyashita, Naomi Tamura, Toshio Yoshikawa, Takashi Hikage, Manabu Omiya, Masahiro Mizuta, Miwa Ikuyo, Kazuhiro Tobita, Teruo Onishi, Masao Taki, Soichi Watanabe, Reiko Kishi
Summary: This study examined children's exposure to radiofrequency electromagnetic fields (RF-EMF) in Japan and found that it was lower than in Europe. The most significant contributor to total exposure was the downlink signals from mobile phone base stations, while Wireless LAN and digital TV had minimal impact. Urban residence was consistently associated with increased exposure in four frequency bands. There was also a link between RF-EMF exposure and inattention/hyperactivity symptoms in children.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Dimitris Evangelopoulos, Klea Katsouyanni, Joel Schwartz, Heather Walton
Summary: This study found that measurement error in multi-exposure models can lead to biased effect estimates for different pollutants and impact the interpretation of their independent effects. Using error parameter information in future studies may improve the accuracy of concentration-response functions.
ENVIRONMENTAL HEALTH
(2021)
Article
Health Care Sciences & Services
Zhiqiang Cao, Man Yu Wong, Garvin H. L. Cheng
Summary: In research, measurement errors and misclassification can lead to biased results. Most studies have focused on solving these two problems separately. This article proposes a new correction method that can handle correlated error variables in multivariate continuous covariates and misclassification in a categorical variable simultaneously. The method is not computationally intensive and its performance is evaluated through simulation studies.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2023)