Article
Multidisciplinary Sciences
Anton Nilsson, Carl Bonander, Ulf Stromberg, Catarina Canivet, Per-Olof Ostergren, Jonas Bjork
Summary: The study looked at selective participation in the Scania Public Health Cohort in Southern Sweden and found that participants were healthier and had different socio-demographic characteristics compared to the target population. Reweighting the sample to resemble the target population had generally small or moderate impacts on associations between self-reported health and socio-demographic and health-related factors. Overall, selective participation did not substantially alter the associations with self-assessed health, indicating high validity in the cohort study.
Article
Urology & Nephrology
Julia C. Bond, Jasmine Abrams, Amelia K. Wesselink, Katharine O. White, Kenneth J. Rothman, Lauren A. Wise
Summary: This study evaluated predictors of non-response to a supplemental sexual health survey added to a web-based cohort study and found that longer pregnancy attempt time, history of infertility, lower income, and education were strong predictors of non-response to the survey.
JOURNAL OF SEXUAL MEDICINE
(2022)
Article
Engineering, Civil
Xinyi Wang, F. Atiyya Shaw, Patricia L. Mokhtarian, Kari E. Watkins
Summary: This study analyzes self-selection biases in survey respondents recruited from the 2017 U.S. National Household Travel Survey and identifies factors related to survey burden, sociodemographic characteristics, travel behavior, and non-response to sensitive variables that contribute to these biases. The findings provide insights for researchers to understand and address sample biases more effectively.
Article
Psychology, Multidisciplinary
Arthur A. A. Stone, Stefan Schneider, Joshua M. M. Smyth, Doerte U. U. Junghaenel, Mick P. P. Couper, Cheng Wen, Marilyn Mendez, Sarah Velasco, Sarah Goldstein
Summary: Participant selection bias is a concern for all types of surveys, especially for momentary data capture studies. This study invited 3,000 individuals to participate and recorded the uptake rates. Overall, 85.9% did not respond, 6.9% expressed interest, and 2.1% agreed to participate. Individuals with higher income, open personality, better skills, interest in the research topic, and previous survey experience were more likely to consent. The one-time survey had higher participation compared to momentary studies.
CURRENT PSYCHOLOGY
(2023)
Article
Public, Environmental & Occupational Health
Chongyang Duan, Anca D. Dragomir, George Luta, Lutz P. Breitling
Summary: The study demonstrates the use of DAG-based data simulation to understand bias and compare data analytical strategies, using examples of classical confounding situations and M-DAG. It introduces basic concepts and features of regression analysis, as well as exploring potential uses of DAG-based data simulations.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
(2021)
Article
Social Sciences, Mathematical Methods
John Ermisch
Summary: Longitudinal survey data provides rich covariate measures for empirical analysis of demographic events, but wave-on-wave dropout poses a challenge. This paper introduces an adjustment procedure based on Bayes Theorem to address the nonignorable dropout problem. It utilizes external population information to convert conditional estimates to unconditional estimates, resulting in more accurate estimates of the marginal effects of covariates on event probabilities.
SOCIOLOGICAL METHODS & RESEARCH
(2023)
Article
Health Care Sciences & Services
Sian Harrison, Fiona Alderdice, Maria A. A. Quigley
Summary: This study compared different sampling and data collection methods and found that paper surveys had a higher response rate than push-to-web surveys. While social media surveys had lower costs, they had limited sample sizes and less representative respondents.
BMC MEDICAL RESEARCH METHODOLOGY
(2023)
Article
Social Sciences, Mathematical Methods
Benjamin Kuefner, Joseph W. Sakshaug, Stefan Zins
Summary: This paper examines the response rates and non-response bias of the 2010-2019 IAB Job Vacancy Survey and evaluates the potential of machine learning algorithms for adjusting non-response bias. The findings show that while the response rate decreased, there was no concomitant increase in non-response bias. The use of administrative data reduced non-response bias, but limited evidence was found for further reduction through machine learning methods.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
(2022)
Article
Social Sciences, Mathematical Methods
Martin Wetzel, Bettina Huenteler
Summary: This study investigates the adherence to COVID-19 regulations and highlights the potential bias caused by selective non-response. By using weighting procedures and selection models, the study finds an overestimation of adherence levels, an overestimation of the association with gender, and an underestimation of the association with education and migration background. The authors suggest including additional variables and using weights to address the bias in predictor structure and mean levels.
SURVEY RESEARCH METHODS
(2022)
Article
Health Care Sciences & Services
Md Mobashir Hasan Shandhi, Peter J. Cho, Ali R. Roghanizad, Karnika Singh, Will Wang, Oana M. Enache, Amanda Stern, Rami Sbahi, Bilge Tatar, Sean Fiscus, Qi Xuan Khoo, Yvonne Kuo, Xiao Lu, Joseph Hsieh, Alena Kalodzitsa, Amir Bahmani, Arash Alavi, Utsab Ray, Michael P. Snyder, Geoffrey S. Ginsburg, Dana K. Pasquale, Christopher W. Woods, Ryan J. Shaw, Jessilyn P. Dunn
Summary: Mass surveillance testing is important for controlling infectious disease outbreaks, but there is a shortage of diagnostic tests globally. Researchers have developed an Intelligent Testing Allocation (ITA) method that uses continuous digital biomarkers to increase the positivity rate of COVID-19 diagnostic testing. They found that resting heart rate features can distinguish between positive and negative cases earlier than steps features.
NPJ DIGITAL MEDICINE
(2022)
Article
Social Sciences, Mathematical Methods
Jamie C. Moore, Gabriele B. Durrant, Peter W. F. Smith
Summary: This study evaluates the utility of CVs as a risk indicator for survey data collection, quantifying variation in response propensities among samples. CVs can measure the correlation between auxiliary attributes and response propensities, guiding modifications to collection methods and improving dataset quality. Using CVs, the representativeness of survey datasets can be quantified and guidance provided for monitoring survey data collection.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
(2021)
Article
Public, Environmental & Occupational Health
P. Sturgis, J. Kuha
Summary: Recent general population surveys in Great Britain have provided highly variable estimates of problem gambling, ranging from 0.4% to 2.7% of adults. Differences in sampling and measurement methods between surveys contribute to this variability, with online surveys tending to produce higher estimates compared to in-person interviews.
Article
Geography
Alexander Zahl-Thanem, Rob J. F. Burton, Jostein Vik
Summary: The study found that while email surveys had lower response rates, they did not result in greater non-response bias. Despite email survey participants being younger, better educated, and more likely to be part-time farmers, the differences between the two survey methods were minimal overall.
JOURNAL OF RURAL STUDIES
(2021)
Article
Agriculture, Dairy & Animal Science
Jorge Hidalgo, Daniela Lourenco, Shogo Tsuruta, Matias Bermann, Vivian Breen, William Herring, Ignacy Misztal
Summary: This research aimed to determine the most accurate, unbiased, and time-efficient approach for jointly evaluating reproductive and broiler traits. The results showed that ignoring broiler data can lead to inaccurate and biased predictions. Jointly evaluating broiler and reproductive traits can maximize accuracy and unbiasedness.
JOURNAL OF ANIMAL SCIENCE
(2023)
Article
Statistics & Probability
Jae-Kwang Kim, Siu-Ming Tam
Summary: The statistical challenges in making valid statistical inference using big data for finite populations are primarily due to statistical bias from under-coverage and measurement errors. By stratifying the population and using a fully responding probability sample, we can estimate the missing data stratum and the population as a whole through a data integration estimator.
INTERNATIONAL STATISTICAL REVIEW
(2021)
Article
Oncology
Andrea M. Teng, Tony Blakely, Michael G. Baker, Diana Sarfati
Article
Public, Environmental & Occupational Health
Tony Blakely, George Disney, June Atkinson, Andrea Teng, Johan P. Mackenbach
Article
Substance Abuse
Christine L. Cleghorn, Tony Blakely, Giorgi Kvizhinadze, Frederieke S. van der Deen, Nhung Nghiem, Linda J. Cobiac, Nick Wilson
Article
Substance Abuse
Nhung Nghiem, Christine L. Cleghorn, William Leung, Nisha Nair, Frederieke S. van der Deen, Tony Blakely, Nick Wilson
Article
Behavioral Sciences
Cliona Ni Mhurchu, Helen Eyles, Yannan Jiang, Tony Blakely
Article
Public, Environmental & Occupational Health
Nick Wilson, Christine Clement, Matt Boyd, Andrea Teng, Alistair Woodward, Tony Blakely
AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH
(2018)
Article
Environmental Sciences
Rebecca Bentley, Tony Blakely, Anne Kavanagh, Zoe Aitken, Tania King, Paul McElwee, Billie Giles-Corti, Gavin Turrell
ENVIRONMENTAL HEALTH PERSPECTIVES
(2018)
Article
Public, Environmental & Occupational Health
Tony Blakely, George Disney, Linda Valeri, June Atkinson, Andrea Teng, Nick Wilson, Lyle Gurrin
Article
Nutrition & Dietetics
Helen Eyles, Yannan Jiang, Tony Blakely, Bruce Neal, Jennifer Crowley, Christine Cleghorn, Cliona Ni Mhurchu
Article
Rheumatology
Ross Wilson, Tony Blakely, J. Haxby Abbott
Article
Environmental Sciences
Andrea M. Teng, Tony Blakely, Vivienne Ivory, Simon Kingham, Vicky Cameron
LANCET PLANETARY HEALTH
(2017)
Article
Oncology
Melissa McLeod, Giorgi Kvizhinadzel, Matt Boyd, Jan Barendregt, Diana Sarfatil, Nick Wilson, Tony Blakely
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
(2017)
Article
Public, Environmental & Occupational Health
Bronwen Phillips, John Daniels, Alistair Woodward, Tony Blakely, Richard Taylor, Stephen Morrell
POPULATION HEALTH METRICS
(2017)
Article
Public, Environmental & Occupational Health
George Disney, Andrea Teng, June Atkinson, Nick Wilson, Tony Blakely
POPULATION HEALTH METRICS
(2017)
Article
Nutrition & Dietetics
Cliona Ni Mhurchu, Ekaterina Volkova, Yannan Jiang, Helen Eyles, Jo Michie, Bruce Neal, Tony Blakely, Boyd Swinburn, Mike Rayner
AMERICAN JOURNAL OF CLINICAL NUTRITION
(2017)