How well do covariates perform when adjusting for sampling bias in online COVID-19 research? Insights from multiverse analyses
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
How well do covariates perform when adjusting for sampling bias in online COVID-19 research? Insights from multiverse analyses
Authors
Keywords
-
Journal
EUROPEAN JOURNAL OF EPIDEMIOLOGY
Volume 37, Issue 12, Pages 1233-1250
Publisher
Springer Science and Business Media LLC
Online
2022-11-06
DOI
10.1007/s10654-022-00932-y
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Understanding national trends in COVID-19 vaccine hesitancy in Canada: results from five sequential cross-sectional representative surveys spanning April 2020–March 2021
- (2022) Kim Lavoie et al. BMJ Open
- Employer-Mandated Vaccination for COVID-19
- (2021) Mark A. Rothstein et al. AMERICAN JOURNAL OF PUBLIC HEALTH
- International assessment of the link between COVID-19 related attitudes, concerns and behaviours in relation to public health policies: optimising policy strategies to improve health, economic and quality of life outcomes (the iCARE Study)
- (2021) Simon L Bacon et al. BMJ Open
- BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
- (2021) Qingyuan Zhao et al. Annals of Applied Statistics
- Multivariable models in orthopaedic research: a methodological review of covariate selection and causal relationships
- (2021) V.T. Ponkilainen et al. OSTEOARTHRITIS AND CARTILAGE
- Determinants of COVID-19 vaccine acceptance and hesitancy: a cross-sectional study in Saudi Arabia
- (2021) Amar Ibrahim Omer Yahia et al. Human Vaccines & Immunotherapeutics
- Global Trends and Correlates of COVID-19 Vaccination Hesitancy: Findings from the iCARE Study
- (2021) Jovana Stojanovic et al. Vaccines
- Public’s Perceptions and Knowledge Towards the 2019 Novel Coronavirus Disease (COVID-19): A Social Media Cross-Sectional Study (Preprint)
- (2020) Khawla F Ali et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- A Systematic Review of Methods Used for Confounding Adjustment in Observational Economic Evaluations in Cardiology Conducted between 2013 and 2017
- (2020) Jason R. Guertin et al. MEDICAL DECISION MAKING
- Specification curve analysis
- (2020) Uri Simonsohn et al. Nature Human Behaviour
- Mandating COVID-19 Vaccines
- (2020) Lawrence O. Gostin et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Unraveling the flaws of estimates of the infection fatality rate for COVID-19
- (2020) Chen Shen et al. JOURNAL OF TRAVEL MEDICINE
- The quandary of covarying: A brief review and empirical examination of covariate use in structural neuroimaging studies on psychological variables
- (2019) Courtland S. Hyatt et al. NEUROIMAGE
- Effectiveness of incentives and follow-up on increasing survey response rates and participation in field studies
- (2019) Michael G. Smith et al. BMC Medical Research Methodology
- A Framework for Ethical Payment to Research Participants
- (2018) Luke Gelinas et al. NEW ENGLAND JOURNAL OF MEDICINE
- Development and Validation of the Human Papillomavirus Attitudes and Beliefs Scale in a National Canadian Sample
- (2016) Samara Perez et al. SEXUALLY TRANSMITTED DISEASES
- Men who have sex with men in Great Britain: comparing methods and estimates from probability and convenience sample surveys
- (2016) Philip Prah et al. SEXUALLY TRANSMITTED INFECTIONS
- A review of the use of covariates in cluster randomized trials uncovers marked discrepancies between guidance and practice
- (2015) Neil Wright et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review
- (2015) M. Sanni Ali et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Assessment of vibration of effects due to model specification can demonstrate the instability of observational associations
- (2015) Chirag J. Patel et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Comparison of the sociodemographic characteristics of the large NutriNet-Santé e-cohort with French Census data: the issue of volunteer bias revisited
- (2015) Valentina A Andreeva et al. JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH
- The challenge of vaccinating adults: attitudes and beliefs of the Canadian public and healthcare providers
- (2015) D M MacDougall et al. BMJ Open
- Accounting for Selection Bias in Association Studies with Complex Survey Data
- (2014) Kathleen E. Wirth et al. EPIDEMIOLOGY
- Does Consent Bias Research?
- (2013) Mark A. Rothstein et al. AMERICAN JOURNAL OF BIOETHICS
- The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients
- (2013) D. Westreich et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Commentary: Representativeness is usually not necessary and often should be avoided
- (2013) Lorenzo Richiardi et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Why representativeness should be avoided
- (2013) K. J. Rothman et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Healthy User and Related Biases in Observational Studies of Preventive Interventions: A Primer for Physicians
- (2011) William H. Shrank et al. JOURNAL OF GENERAL INTERNAL MEDICINE
- On the Relative Nature of Overadjustment and Unnecessary Adjustment
- (2009) Tyler J. VanderWeele EPIDEMIOLOGY
- Overadjustment Bias and Unnecessary Adjustment in Epidemiologic Studies
- (2009) Enrique F. Schisterman et al. EPIDEMIOLOGY
- Illustrating bias due to conditioning on a collider
- (2009) Stephen R Cole et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- The Challenge of Selection Bias and Confounding in Palliative Care Research
- (2009) Helene Starks et al. JOURNAL OF PALLIATIVE MEDICINE
- Feeling validated versus being correct: A meta-analysis of selective exposure to information.
- (2009) William Hart et al. PSYCHOLOGICAL BULLETIN
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation