On the public citation graph
Estimation for Volunteer Panel Web Surveys Using Propensity Score Adjustment and Calibration Adjustment
0 signed · 204 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9780470173404.ch8openalex-snapshot
Weighting Telephone Samples Using Propensity Scores
inferredcites →https://doi.org/10.1080/01621459.1984.10478078openalex-snapshot
Reducing Bias in Observational Studies Using Subclassification on the Propensity Score
inferredcites →https://doi.org/10.1080/01621459.1992.10475217openalex-snapshot
Calibration Estimators in Survey Sampling
inferredcites →https://doi.org/10.1080/01621459.1993.10476369openalex-snapshot
Generalized Raking Procedures in Survey Sampling
inferredcites →https://doi.org/10.1080/07350015.1992.10509892openalex-snapshot
Projecting From Advance Data Using Propensity Modeling: An Application to Income and Tax Statistics
inferredcites →https://doi.org/10.1093/biomet/70.1.41openalex-snapshot
The central role of the propensity score in observational studies for causal effects
inferredcites →https://doi.org/10.1177/0894439303256551openalex-snapshot
A Comparison Between Responses From a Propensity-Weighted Web Survey and an Identical RDD Survey
inferredcites →https://doi.org/10.18148/srm/2007.v1i3.70openalex-snapshot
Are `Webographic’ or attitudinal questions useful for adjusting estimates from Web surveys using propensity scoring?
inferredcites →https://doi.org/10.2307/2288398openalex-snapshot
Reducing Bias in Observational Studies Using Subclassification on the Propensity Score
inferredcites →https://doi.org/10.2307/2290793openalex-snapshot
Generalized Raking Procedures in Survey Sampling
inferredcites →https://doi.org/10.2307/2528036openalex-snapshot
The Effectiveness of Adjustment by Subclassification in Removing Bias in Observational Studies
inferredcites →https://doi.org/10.2307/2530192openalex-snapshot
Statistical Methods in Cancer Research. Vol. 1: The Analysis of Case-Control Studies
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4727504openalex-extracted
Functional Calibration Under Non-Probability Survey Sampling
inferred← citeshttps://doi.org/10.1002/9781118121757.ch11openalex-snapshot
Use of Response Propensities
inferred← citeshttps://doi.org/10.1002/9781118751534.ch12openalex-snapshot
The Future of Social Media, Sociality, and Survey Research
inferred← citeshttps://doi.org/10.1002/9781118763520openalex-snapshot
Online panel research a data quality perspective
inferred← citeshttps://doi.org/10.1002/9781118763520.ch12openalex-snapshot
Improving web survey quality
inferred← citeshttps://doi.org/10.1002/9781118976357.ch1openalex-snapshot
Why Machines Matter for Survey and Social Science Researchers
inferred← citeshttps://doi.org/10.1002/9781119111931.ch55openalex-snapshot
The Opt‐In Internet Survey
inferred← citeshttps://doi.org/10.1002/9781119371717.ch13openalex-snapshot
Use of Response Propensities
inferred← citeshttps://doi.org/10.1002/9781119672333.ch29openalex-snapshot
Variance Estimation for Probability and Nonprobability Establishment Surveys: An Overview
inferred← citeshttps://doi.org/10.1002/9781119721871.ch10openalex-snapshot
On Determining the Value of Online Customer Satisfaction Ratings – A Case‐based Appraisal
inferred← citeshttps://doi.org/10.1002/bimj.202200035openalex-snapshot
Enhancing estimation methods for integrating probability and nonprobability survey samples with machine‐learning techniques. An application to a Survey on the impact of the COVID‐19 pandemic in Spain
inferred← citeshttps://doi.org/10.1002/sam.11614openalex-snapshot
Doubly robust estimation for non‐probability samples with modified intertwined probabilistic factors decoupling
inferred← citeshttps://doi.org/10.1002/sam.11667openalex-snapshot
Bayesian inference for nonprobability samples with nonignorable missingness
inferred← citeshttps://doi.org/10.1002/sam.70040openalex-snapshot
Nonlinear Superpopulation Model Inference for Non‐Probability Samples With Nonignorable Missingness
inferred← citeshttps://doi.org/10.1002/sim.70420openalex-snapshot
Causal Inference With Survey Data: A Robust Framework for Propensity Score Weighting in Probability and Non‐Probability Samples
inferred← citeshttps://doi.org/10.1002/sim.9122openalex-snapshot
Adjusted logistic propensity weighting methods for population inference using nonprobability volunteer‐based epidemiologic cohorts
inferred← citeshttps://doi.org/10.1002/wics.1616openalex-snapshot
On calibrated inverse probability weighting and generalized boosting propensity score models for mean estimation with incomplete survey data
inferred← citeshttps://doi.org/10.1007/978-3-030-44246-0_17openalex-snapshot
Non-probability Survey Samples
inferred← citeshttps://doi.org/10.1007/978-3-030-54936-7_4openalex-snapshot
Combining Scientific and Non-scientific Surveys to Improve Estimation and Reduce Costs
inferred← citeshttps://doi.org/10.1007/978-3-030-75460-0_22openalex-snapshot
New Data Sources and Inference Methods for Official Statistics
inferred← citeshttps://doi.org/10.1007/978-3-032-30873-3_68openalex-snapshot
Alternative Approaches for Addressing Selection Bias in Non-probability Samples
inferred← citeshttps://doi.org/10.1007/978-3-642-04898-2_43openalex-snapshot
Nonresponse in Web Surveys
inferred← citeshttps://doi.org/10.1007/978-3-642-25411-6openalex-snapshot
Telephone surveys in Europe : research and practice
inferred← citeshttps://doi.org/10.1007/978-3-642-25411-6_8openalex-snapshot
Who Can Be Contacted by Phone? Lessons from Switzerland
inferred← citeshttps://doi.org/10.1007/978-3-658-01986-0_17openalex-snapshot
Eine Trendwende in der Marketingforschung – Aktuelle Chancen und Risiken von Web Surveys
inferred← citeshttps://doi.org/10.1007/978-3-658-10459-7_1openalex-snapshot
Prävention, Korrektur oder beides?
inferred← citeshttps://doi.org/10.1007/s00184-026-01046-1openalex-snapshot
Pseudo generalized regression estimation for non-probability samples with high-dimensional data
inferred← citeshttps://doi.org/10.1007/s00362-022-01296-xopenalex-snapshot
Variable selection in Propensity Score Adjustment to mitigate selection bias in online surveys
inferred← citeshttps://doi.org/10.1007/s00362-025-01727-5openalex-snapshot
Estimation of the distribution function and quantiles through data integration
inferred← citeshttps://doi.org/10.1007/s10182-025-00530-9openalex-snapshot
Evaluation of available techniques and their combinations to address selection bias in nonprobability surveys
inferred← citeshttps://doi.org/10.1007/s10182-025-00548-zopenalex-snapshot
Enhancing accuracy in surveys obtained by respondent-driven sampling with bias adjustment techniques
inferred← citeshttps://doi.org/10.1007/s10260-021-00615-0openalex-snapshot
Model-assisted calibration with SCAD to estimated control for non-probability samples
inferred← citeshttps://doi.org/10.1007/s10260-023-00740-yopenalex-snapshot
Integrating probability and big non-probability samples data to produce Official Statistics
inferred← citeshttps://doi.org/10.1007/s10260-026-00864-xopenalex-snapshot
The effect of non-identifiability of sampling design in the inference from non-probability samples
inferred← citeshttps://doi.org/10.1007/s11135-020-00995-7openalex-snapshot
A new approach to assess the normalization of differential rates of protest participation
inferred← citeshttps://doi.org/10.1007/s11135-024-01835-8openalex-snapshot
The return of non-probability sample: the electoral polls at the time of internet and social media
inferred← citeshttps://doi.org/10.1007/s11749-019-00683-1openalex-snapshot
Comments on: Deville and Särndal’s calibration: revisiting a 25 years old successful optimization problem
inferred← citeshttps://doi.org/10.1007/s11749-021-00795-7openalex-snapshot
Weight smoothing for nonprobability surveys
inferred← citeshttps://doi.org/10.1007/s11943-025-00362-8openalex-snapshot
Alternative selection mechanisms in online surveys
inferred← citeshttps://doi.org/10.1007/s13571-020-00227-wopenalex-snapshot
On Making Valid Inferences by Integrating Data from Surveys and Other Sources
inferred← citeshttps://doi.org/10.1007/s40300-023-00243-6openalex-snapshot
Inference with non-probability samples and survey data integration: a science mapping study
inferred← citeshttps://doi.org/10.1007/s42081-020-00093-wopenalex-snapshot
Statistical data integration in survey sampling: a review
inferred← citeshttps://doi.org/10.1016/b978-0-443-26629-4.00197-0openalex-snapshot
Non-probability sampling: Theory, methods, and practical guidance
inferred← citeshttps://doi.org/10.1016/j.cam.2021.113414openalex-snapshot
Combining Statistical Matching and Propensity Score Adjustment for inference from non-probability surveys
inferred← citeshttps://doi.org/10.1016/j.cam.2025.116567openalex-snapshot
Doubly robust estimation for non-probability samples with heterogeneity
inferred← citeshttps://doi.org/10.1016/j.ins.2022.11.032openalex-snapshot
Probability and non-probability samples: Improving regression modeling by using data from different sources
inferred← citeshttps://doi.org/10.1016/j.jretconser.2026.105147openalex-snapshot
The impact of omni-channel strategies on consumer behavior in sport product purchases
inferred← citeshttps://doi.org/10.1016/j.matcom.2020.03.005openalex-snapshot
Evaluating Machine Learning methods for estimation in online surveys with superpopulation modeling
inferred← citeshttps://doi.org/10.1016/j.matcom.2024.06.012openalex-snapshot
Estimating response propensities in nonprobability surveys using machine learning weighted models
inferred← citeshttps://doi.org/10.1016/j.matcom.2024.08.009openalex-snapshot
A new technique for handling non-probability samples based on model-assisted kernel weighting
inferred← citeshttps://doi.org/10.1016/j.matcom.2026.07.021openalex-snapshot
Comparison of approaches to variance estimation in non-probability samples
inferred← citeshttps://doi.org/10.1016/j.rmal.2024.100152openalex-snapshot
More Accurate Estimation for Nonrandom Sampling Surveys: A Post Hoc Correction Method
inferred← citeshttps://doi.org/10.1016/j.wep.2013.10.001openalex-snapshot
Online, face-to-face and telephone surveys—Comparing different sampling methods in wine consumer research
inferred← citeshttps://doi.org/10.1017/cbo9781139381635.025openalex-snapshot
Recent developments of sampling hard-to-survey populations: an assessment
inferred← citeshttps://doi.org/10.1017/s0007114520003189openalex-snapshot
Association of organic food consumption with obesity in a nationally representative sample
inferred← citeshttps://doi.org/10.1017/s0008423914001139openalex-snapshot
L'efficacité de l'échantillonnage passif pour obtenir un portrait représentatif de l'électorat: Le cas deVote au pluriel – Québec
inferred← citeshttps://doi.org/10.1038/s41598-018-34233-wopenalex-snapshot
Surveillance of CKD epidemiology in the US – a joint analysis of NHANES and KEEP
inferred← citeshttps://doi.org/10.1080/01621459.2019.1677241openalex-snapshot
Doubly Robust Inference With Nonprobability Survey Samples
inferred← citeshttps://doi.org/10.1080/02664763.2022.2107187openalex-snapshot
Estimation for volunteer web survey samples using a model-averaging approach
inferred← citeshttps://doi.org/10.1080/03610918.2022.2102181openalex-snapshot
Analysis of combined probability and nonprobability samples: a simulation evaluation and application to a teen smoking behavior survey
inferred← citeshttps://doi.org/10.1080/03610918.2024.2374056openalex-snapshot
Superpopulation model inference for non-probability samples under informative sampling
inferred← citeshttps://doi.org/10.1080/03610926.2024.2335543openalex-snapshot
Superpopulation model inference for non probability samples under informative sampling with high-dimensional data
inferred← citeshttps://doi.org/10.1080/07350015.2025.2515911openalex-snapshot
Selection Bias Adjustment by Functional Transfer Learning via Reproducing Kernel Hilbert Space
inferred← citeshttps://doi.org/10.1080/13645579.2018.1496052openalex-snapshot
The effects of propensity score weighting on attrition biases in attitudinal, behavioral, and socio-demographic variables in a short-term web-based panel survey
inferred← citeshttps://doi.org/10.1080/13645579.2024.2371238openalex-snapshot
Improving the reliability of a nonprobability web survey: application to measuring gender pay gap
inferred← citeshttps://doi.org/10.1080/24754269.2026.2736943openalex-snapshot
Integrating probability and non-probability sampling data in presence of nonignorable participation
inferred← citeshttps://doi.org/10.1089/lgbt.2023.0139openalex-snapshot
Lifetime Violence, Lifetime Discrimination, and Microaggressions in the Lives of LGBT Midlife and Older Adults: Findings from Aging with Pride: National Health, Aging, and Sexuality/Gender Study
inferred← citeshttps://doi.org/10.1093/biomet/asad016openalex-snapshot
Soft calibration for selection bias problems under mixed-effects models
inferred← citeshttps://doi.org/10.1093/geront/gnw100openalex-snapshot
Factors Associated With High-Risk Alcohol Consumption Among LGB Older Adults: The Roles of Gender, Social Support, Perceived Stress, Discrimination, and Stigma
inferred← citeshttps://doi.org/10.1093/geront/gnw169openalex-snapshot
Social Network Types and Mental Health Among LGBT Older Adults
inferred← citeshttps://doi.org/10.1093/geront/gnw170openalex-snapshot
The Cascading Effects of Marginalization and Pathways of Resilience in Attaining Good Health Among LGBT Older Adults
inferred← citeshttps://doi.org/10.1093/geront/gnw171openalex-snapshot
Bouncing Back: Resilience and Mastery Among HIV-Positive Older Gay and Bisexual Men
inferred← citeshttps://doi.org/10.1093/geront/gnw172openalex-snapshot
Race/Ethnicity and Health-Related Quality of Life Among LGBT Older Adults
inferred← citeshttps://doi.org/10.1093/geront/gnw173openalex-snapshot
Prior Military Service, Identity Stigma, and Mental Health Among Transgender Older Adults
inferred← citeshttps://doi.org/10.1093/geront/gnw174openalex-snapshot
Who Says I Do: The Changing Context of Marriage and Health and Quality of Life for LGBT Older Adults
inferred← citeshttps://doi.org/10.1093/geront/gnw185openalex-snapshot
The Unfolding of LGBT Lives: Key Events Associated With Health and Well-being in Later Life
inferred← citeshttps://doi.org/10.1093/geront/gnw186openalex-snapshot
Health Care Engagement Among LGBT Older Adults: The Role of Depression Diagnosis and Symptomatology
inferred← citeshttps://doi.org/10.1093/geront/gnw212openalex-snapshot
The Science of Conducting Research With LGBT Older Adults- An Introduction to Aging with Pride: National Health, Aging, and Sexuality/Gender Study (NHAS)
inferred← citeshttps://doi.org/10.1093/ijpor/edv016openalex-snapshot
When will Nonprobability Surveys Mirror Probability Surveys? Considering Types of Inference and Weighting Strategies as Criteria for Correspondence
inferred← citeshttps://doi.org/10.1093/jssam/smaa028openalex-snapshot
Boosted Kernel Weighting – Using Statistical Learning to Improve Inference from Nonprobability Samples
inferred← citeshttps://doi.org/10.1093/jssam/smaa037openalex-snapshot
Blending Probability and Nonprobability Samples with Applications to a Survey of Military Caregivers
inferred← citeshttps://doi.org/10.1093/jssam/smv035openalex-snapshot
Methodological Issues and Challenges in the Production of Official StatisticsComments on “Methodological Issues and Challenges in the Production of Official Statistics”Comments on “Methodological Issues and Challenges in the Production of Official Statistics”Rejoinder to Reviewers' Discussion
inferred← citeshttps://doi.org/10.1093/jssam/smx006openalex-snapshot
Estimation of a Total from a Population of Unknown Size and Application to Estimating Recreational Red Snapper Catch in Texas
inferred← citeshttps://doi.org/10.1093/jssam/smz003openalex-snapshot
Comparing Alternatives for Estimation from Nonprobability Samples
inferred← citeshttps://doi.org/10.1093/jssam/smz020openalex-snapshot
Discussion of “How Errors Cumulate: Two Examples” by Roger Tourangeau
inferred← citeshttps://doi.org/10.1093/jssam/smz033openalex-snapshot
Split-Sample Design with Parallel Protocols to Reduce Cost and Nonresponse Bias in Surveys
inferred← citeshttps://doi.org/10.1093/jssam/smz041openalex-snapshot
A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research
inferred← citeshttps://doi.org/10.1093/jssam/smz051openalex-snapshot
Integrating Probability and Nonprobability Samples for Survey Inference
inferred← citeshttps://doi.org/10.1093/jssam/smz059openalex-snapshot
Relations Between Variables and Trends Over Time in Rdd Telephone and Nonprobability Sample Internet Surveys
inferred← citeshttps://doi.org/10.1093/jssam/smz060openalex-snapshot
Big Data for Finite Population Inference: Applying Quasi-Random Approaches to Naturalistic Driving Data Using Bayesian Additive Regression Trees
inferred← citeshttps://doi.org/10.1093/poq/nfaf071openalex-snapshot
A Demonstration of Propensity-Score Weighting to Adjust a Social Media Nonprobability Sample Survey of Political Attitudes
inferred← citeshttps://doi.org/10.1093/poq/nfq048openalex-snapshot
Research Synthesis: AAPOR Report on Online Panels
inferred← citeshttps://doi.org/10.1093/poq/nfr020openalex-snapshot
Comparing the Accuracy of RDD Telephone Surveys and Internet Surveys Conducted with Probability and Non-Probability Samples
inferred← citeshttps://doi.org/10.1093/poq/nfv029openalex-snapshot
Comparing Multiple Imputation and Propensity-Score Weighting in Unit-Nonresponse Adjustments
inferred← citeshttps://doi.org/10.1093/poq/nfv048openalex-snapshot
Social Media Analyses for Social Measurement
inferred← citeshttps://doi.org/10.1093/poq/nfw060openalex-snapshot
Theory and Practice in Nonprobability Surveys
inferred← citeshttps://doi.org/10.1108/ijm-12-2014-0237openalex-snapshot
A web survey analysis of subjective well-being
inferred← citeshttps://doi.org/10.1109/hicss.2010.451openalex-snapshot
eGovernment Services Use and Impact through Public Libraries: Preliminary Findings from a National Study of Public Access Computing in Public Libraries
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889529openalex-snapshot
Transfer Learning via Functional Balancing in Reproducing Kernel Hilbert Spaces
inferred← citeshttps://doi.org/10.1111/1745-9125.12145openalex-snapshot
THE LANGUAGE OF STIGMATIZATION AND THE MARK OF VIOLENCE: EXPERIMENTAL EVIDENCE ON THE SOCIAL CONSTRUCTION AND USE OF CRIMINAL RECORD STIGMA
inferred← citeshttps://doi.org/10.1111/insr.12253openalex-snapshot
Comparing Inference Methods for Non‐probability Samples
inferred← citeshttps://doi.org/10.1111/insr.12470openalex-snapshot
Efficient and robust propensity‐score‐based methods for population inference using epidemiologic cohorts
inferred← citeshttps://doi.org/10.1111/j.1475-682x.2009.00318.xopenalex-snapshot
The Growth of Internet Research Methods and the Reluctant Sociologist
inferred← citeshttps://doi.org/10.1111/rssa.12564openalex-snapshot
Improving External Validity of Epidemiologic Cohort Analyses: a Kernel Weighting Approach
inferred← citeshttps://doi.org/10.1111/rssa.12696openalex-snapshot
Combining Non-Probability and Probability Survey Samples Through Mass Imputation
inferred← citeshttps://doi.org/10.1111/rssb.12354openalex-snapshot
Doubly Robust Inference when Combining Probability and Non-Probability Samples with High Dimensional Data
inferred← citeshttps://doi.org/10.1111/rssc.12481openalex-snapshot
Estimation of the Size of Informal Employment Based on Administrative Records With Non-Ignorable Selection Mechanism
inferred← citeshttps://doi.org/10.1111/weng.12574openalex-snapshot
Web survey data on the use of the English language in the Japanese workplace
inferred← citeshttps://doi.org/10.1146/annurev-soc-090524-043117openalex-snapshot
Online Nonprobability Samples
inferred← citeshttps://doi.org/10.1146/annurev-statistics-031017-100204openalex-snapshot
Election Polls—A Survey, A Critique, and Proposals
inferred← citeshttps://doi.org/10.11606/t.85.2018.tde-19102018-143549openalex-snapshot
Avaliação da percepção de participantes do Banco de Alimentos da Companhia de Entrepostos e Armazéns Gerais de São Paulo sobre o processo de irradiação de alimento. Divulgação do tratamento de alimentos por radiação ionizante: desenvolvimento de questionário e análise sensorial
inferred← citeshttps://doi.org/10.1177/0011128719875699openalex-snapshot
Public Opinion on Criminal Records and Employment: A Test of Competing Theoretical Models
inferred← citeshttps://doi.org/10.1177/0049124110392533openalex-snapshot
Estimating Propensity Adjustments for Volunteer Web Surveys
inferred← citeshttps://doi.org/10.1177/0049124115621333openalex-snapshot
The Use of a Nonprobability Internet Panel to Monitor Sexual and Reproductive Health in the General Population
inferred← citeshttps://doi.org/10.1177/0091415019837591openalex-snapshot
The Evolution of Aging With Pride—National Health, Aging, and Sexuality/Gender Study: Illuminating the Iridescent Life Course of LGBTQ Adults Aged 80 Years and Older in the United States
inferred← citeshttps://doi.org/10.1177/0091415019842844openalex-snapshot
The Role of Immigration in the Health of Lesbian, Gay, Bisexual, and Transgender Older Adults in the United States
inferred← citeshttps://doi.org/10.1177/0282423x241293751openalex-snapshot
Combining Probability and Nonprobability Samples on an Aggregated Level
inferred← citeshttps://doi.org/10.1177/0759106310369964openalex-snapshot
Representativeness in Online Surveys through Stratified Samples
inferred← citeshttps://doi.org/10.1177/08944393261421119openalex-snapshot
Conspiracy or Public Service? Does Facebook’s Third-Party Fact-Checking Increase Conspiracy Beliefs Among Americans?
inferred← citeshttps://doi.org/10.1177/08982643221125517openalex-snapshot
Generational and Social Forces in the Life Events and Experiences of Lesbian and Gay Midlife and Older Adults Across the Iridescent Life Course
inferred← citeshttps://doi.org/10.1177/14707853241292526openalex-snapshot
How much is it about the money? Using facebook to promote a web survey during the COVID-19 pandemic and estimating average response-returns on ad-investments
inferred← citeshttps://doi.org/10.1177/23294965211053832openalex-snapshot
Race, Criminal Records, and Discrimination Against Job Seekers: Examining Attitudinal Mechanisms
inferred← citeshttps://doi.org/10.1186/1478-4491-11-11openalex-snapshot
Health workforce remuneration: comparing wage levels, ranking, and dispersion of 16 occupational groups in 20 countries
inferred← citeshttps://doi.org/10.1186/1478-4491-12-23openalex-snapshot
Should I stay or should I go? The impact of working time and wages on retention in the health workforce
inferred← citeshttps://doi.org/10.1186/s12874-020-01134-4openalex-snapshot
An evaluation of whether propensity score adjustment can remove the self-selection bias inherent to web panel surveys addressing sensitive health behaviours
inferred← citeshttps://doi.org/10.1186/s12874-023-02122-0openalex-snapshot
Health estimate differences between six independent web surveys: different web surveys, different results?
inferred← citeshttps://doi.org/10.1186/s12960-016-0136-5openalex-snapshot
Does migration ‘pay off’ for foreign-born migrant health workers? An exploratory analysis using the global WageIndicator dataset
inferred← citeshttps://doi.org/10.1214/14-aoas746openalex-snapshot
Two-phase sampling experiment for propensity score estimation in self-selected samples
inferred← citeshttps://doi.org/10.1214/16-sts584openalex-snapshot
Combining Survey Data with Other Data Sources
inferred← citeshttps://doi.org/10.1214/16-sts598openalex-snapshot
Inference for Nonprobability Samples
inferred← citeshttps://doi.org/10.1214/21-aoas1531openalex-snapshot
Robust Bayesian inference for Big Data: Combining sensor-based records with traditional survey data
inferred← citeshttps://doi.org/10.1214/21-bjps506openalex-snapshot
Model-assisted SCAD calibration for non-probability samples
inferred← citeshttps://doi.org/10.1214/25-bjps624openalex-snapshot
Doubly robust estimation with graphical structure among predictors for integrating probability and non-probability samples
inferred← citeshttps://doi.org/10.12688/f1000research.52407.1openalex-snapshot
Prevalence and patterns of tobacco and/or nicotine product use in Japan (2017) after the launch of a heated tobacco product (IQOS®): a cross-sectional study
inferred← citeshttps://doi.org/10.13094/smif-2020-00018openalex-snapshot
Comparison of Quarterly and Yearly Calibration Data for Propensity Score Adjusted Web Survey Estimates
inferred← citeshttps://doi.org/10.1353/obs.2023.0011openalex-snapshot
What is a propensity score? Applications and extensions of balancing score methods
inferred← citeshttps://doi.org/10.1371/journal.pone.0065782openalex-snapshot
The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation
inferred← citeshttps://doi.org/10.1371/journal.pone.0196020openalex-snapshot
Estimation of unobservable selection effects in on-line surveys through propensity score matching: An application to public acceptance of healthy eating policies
inferred← citeshttps://doi.org/10.1371/journal.pone.0231500openalex-snapshot
Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys
inferred← citeshttps://doi.org/10.14763/2022.1.1627openalex-snapshot
“Doing gender” by sharing: examining the gender gap in the European sharing economy
inferred← citeshttps://doi.org/10.1515/ijsl-2021-0122openalex-snapshot
Does the pandemic hamper or boost the necessity for an international language? A survey on English use frequency among Japanese workers
inferred← citeshttps://doi.org/10.15620/cdc:121708openalex-snapshot
Propensity-score Adjusted Estimates for Selected Health Outcomes From the Research and Development Survey
inferred← citeshttps://doi.org/10.1590/2238-38752023v1329openalex-snapshot
COMPARABILITY AND EQUIVALENCE IN SOCIAL RESEARCH
inferred← citeshttps://doi.org/10.1609/hcomp.v2i1.13168openalex-snapshot
Saving Money While Polling with InterPoll Using Power Analysis
inferred← citeshttps://doi.org/10.18148/srm/2010.v4i3.3774openalex-snapshot
Measurement and adjustment of non-response bias based on non-response surveys: the case of Belgium and Norway in the European Social Survey Round 3
inferred← citeshttps://doi.org/10.18148/srm/2013.v7i2.5036openalex-snapshot
On the Impact of Response Patterns on Survey Estimates from Access Panels
inferred← citeshttps://doi.org/10.19177/reen.v13e12020245-244openalex-snapshot
DA AGROINDÚSTRIA A MANUFATURA: ESTUDO SOBRE O PERFIL DOS PEQUENOS NEGÓCIOS, SUA ESTRUTURA ORGANIZACIONAL E ELEMENTOS ESTRATÉGICOS
inferred← citeshttps://doi.org/10.2139/ssrn.5495148openalex-snapshot
Adaptive Survey Sampling via Ad Platforms
inferred← citeshttps://doi.org/10.2478/jos-2019-0027openalex-snapshot
Supplementing Small Probability Samples with Nonprobability Samples: A Bayesian Approach
inferred← citeshttps://doi.org/10.2478/jos-2023-0027openalex-snapshot
Book Review: Silvia Biffignandi and Jelke Bethlehem . Handbook of Web Surveys, 2nd edition . 2021 Wiley, ISBN: 978-1-119-37168-7, 624 pps
inferred← citeshttps://doi.org/10.2501/ijmr-53-1-277-288openalex-snapshot
'Fit for Purpose', IJMR Research Methods Forum, Royal Society, London, 2 November 2010
inferred← citeshttps://doi.org/10.2501/ijmr-53-2-275-286openalex-snapshot
‘Fit for Purpose’, IJMR Research Methods Forum, Royal Society, London, 2 November 2010
inferred← citeshttps://doi.org/10.2501/ijmr-54-6-751-780openalex-snapshot
A Smarter Way to Select Respondents for Surveys?
inferred← citeshttps://doi.org/10.31274/etd-180810-2933openalex-snapshot
Efficient estimation in missing data and survey sampling problems
inferred← citeshttps://doi.org/10.3233/sji-200678openalex-snapshot
Overview and initial results of the National Center for Health Statistics’ Research and Development Survey1
inferred← citeshttps://doi.org/10.3233/sji-200719openalex-snapshot
Standardized calibration adjustment index (SCAI): A new measure of survey data quality
inferred← citeshttps://doi.org/10.32614/rj-2020-015openalex-snapshot
The R package NonProbEst for estimation in non-probability surveys
inferred← citeshttps://doi.org/10.3389/fpos.2025.1592589openalex-snapshot
Making online polls more accurate: statistical methods explained
inferred← citeshttps://doi.org/10.3390/math10244726openalex-snapshot
Methods to Counter Self-Selection Bias in Estimations of the Distribution Function and Quantiles
inferred← citeshttps://doi.org/10.3390/math8060879openalex-snapshot
Inference from Non-Probability Surveys with Statistical Matching and Propensity Score Adjustment Using Modern Prediction Techniques
inferred← citeshttps://doi.org/10.3390/math8112096openalex-snapshot
Estimating General Parameters from Non-Probability Surveys Using Propensity Score Adjustment
inferred← citeshttps://doi.org/10.3390/math9070791openalex-snapshot
Self-Perceived Health, Life Satisfaction and Related Factors among Healthcare Professionals and the General Population: Analysis of an Online Survey, with Propensity Score Adjustment
inferred← citeshttps://doi.org/10.3390/math9232991openalex-snapshot
On the Use of Gradient Boosting Methods to Improve the Estimation with Data Obtained with Self-Selection Procedures
inferred← citeshttps://doi.org/10.3390/stats6020039openalex-snapshot
Combining Probability and Nonprobability Samples by Using Multivariate Mass Imputation Approaches with Application to Biomedical Research
inferred← citeshttps://doi.org/10.3390/toxins18060250openalex-snapshot
Burden of Mortality and Morbidity Caused by Snakebites Contributes to Economic Loss in a Rural Population in India
inferred← citeshttps://doi.org/10.3917/pope.1002.0285openalex-snapshot
Web Surveys in the Social Sciences: An Overview
inferred← citeshttps://doi.org/10.3917/popu.1002.0309openalex-snapshot
Web Surveys in the Social Sciences: An Overview
inferred← citeshttps://doi.org/10.3989/ris.2021.79.1.19.350openalex-snapshot
Datos administrativos agregados y estimación a partir de muestras no probabilísticas
inferred← citeshttps://doi.org/10.4018/978-1-4666-0074-4.ch003openalex-snapshot
Volunteer Panel Web Surveys in Urban Planning
inferred← citeshttps://doi.org/10.4018/978-1-4666-3918-8.ch006openalex-snapshot
Measuring Wages Worldwide
inferred← citeshttps://doi.org/10.4054/demres.2026.54.42openalex-snapshot
Click, collect, compare: Evaluating a nonprobability web survey for family demography
inferred← citeshttps://doi.org/10.4230/lipics.snapl.2015.156openalex-snapshot
InterPoll: Crowd-Sourced Internet Polls
inferred← citeshttps://doi.org/10.51936/phjl9389openalex-snapshot
Web mode as part of mixed-mode surveys of the general population
inferred← citeshttps://doi.org/10.5477/cis/reis.131.109openalex-snapshot
Una encuesta voluntaria y continua en la red en España: sesgo, ponderación y eficiencia
inferred← citeshttps://doi.org/10.5539/ijsp.v12n1p33openalex-snapshot
Bayesian Predictive Inference Under Nine Methods for Incorporating Survey Weights
inferred← citeshttps://doi.org/10.59170/stattrans-2010-020openalex-snapshot
Modeling of the Internet sample
inferred← citeshttps://doi.org/10.5944/empiria.49.2021.29231openalex-snapshot
Datos agregados para corregir los sesgos de no respuesta y de cobertura en encuestas
inferred← citeshttps://doi.org/10.6339/26-jds1234openalex-snapshot
An Estimation Framework for Combining Probability and Non-probability Samples
inferred← citeshttps://doi.org/10.70881/hnj/v4/n1/110openalex-snapshot
Muestreo y sesgo de cobertura en encuestas virtuales: una evaluación mediante simulación estadística
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.