Complex Surveys: A Guide to Analysis Using R
Abstract
A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presen…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The analysis used the svyglm function from the survey R package to incorporate raking weights.
“To incorporate the raking weights in our analyses, we used the svyglm function from the survey R package (80,81).”
From Reranking partisan animosity in algorithmic social media feeds alters affective polarization (2025) · cites this paper as [81]
Cites
Still being checked.
Cited by
Sorted by citations
Tenofovir-based preexposure prophylaxis for HIV infection among African women.
Marrazzo, J. M., Ramjee, G., Richardson, B. A., Gomez, K., Mgodi, N., Nair, G., Palanee, T., Nakabiito, C., van der Straten, A., Noguchi, L., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1402269 · Cited by 1,296 · see citing works
Immune correlates analysis of the mRNA-1273 COVID-19 vaccine efficacy clinical trial
Gilbert, P. B., Montefiori, D. C., McDermott, A. B., Fong, Y., Benkeser, D., Deng, W., Zhou, H., Houchens, C. R., Martins, K., Jayashankar, L., et al. (2022) · Science · doi:10.1126/science.abm3425 · Cited by 1,137 · see citing works
Agnostic notes on regression adjustments to experimental data: Reexamining Freedman’s critique
Lin, W. T. (2013) · The Annals of Applied Statistics · doi:10.1214/12-aoas583 · Cited by 633 · see citing works
Generalizing Observational Study Results: Applying Propensity Score Methods to Complex Surveys
DuGoff, E. H., Schuler, M., & Stuart, E. A. (2014) · Health Services Research · doi:10.1111/1475-6773.12090 · Cited by 605 · see citing works
survey: Analysis of Complex Survey Samples
Gao, P., Schneider, B., & Kolenkikov, S. (2003) · doi:10.32614/cran.package.survey · Cited by 523 · see citing works
Toward Predicting Efficiency of Organic Solar Cells via Machine Learning and Improved Descriptors
Sahu, H., Rao, W., Troisi, A., & Ma, H. (2018) · Advanced Energy Materials · doi:10.1002/aenm.201801032 · Cited by 259 · see citing works
A re‐evaluation of fixed effect(s) meta‐analysis
Rice, K., Higgins, J. P. T., & Lumley, T. (2018) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/rssa.12275 · Cited by 287 · see citing works
Self-citationHeeringa, S. G., & Berglund, P. A. (2020) · doi:10.1101/2020.02.10.942011 · Cited by 247 · see citing works
Mapping child growth failure in Africa between 2000 and 2015
Osgood-Zimmerman, A. E., Millear, A., Stubbs, R. W., Shields, C., Pickering, B. V., Earl, L., Graetz, N., Kinyoki, D. K., Ray, S. E., Bhatt, S., et al. (2018) · Nature · doi:10.1038/nature25760 · Cited by 246 · see citing works
Petrescu, D. C., Hollands, G. J., Couturier, D., Ng, Y., & Marteau, T. M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155995 · Cited by 217 · see citing works
Fitting Regression Models to Survey Data
Lumley, T., & Scott, A. (2017) · Statistical Science · doi:10.1214/16-sts605 · Cited by 209 · see citing works
Self-citationWerner‐Seidler, A., Afzali, M. H., Chapman, C., Sunderland, M., & Slade, T. N. (2017) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-017-1440-7 · Cited by 182 · see citing works
Resampling Variance Estimation for Complex Survey Data
Kolenikov, S. (2010) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x1001000201 · Cited by 178 · see citing works
Estimating Propensity Adjustments for Volunteer Web Surveys
Valliant, R. L., & Dever, J. A. (2011) · Sociological Methods & Research · doi:10.1177/0049124110392533 · Cited by 167 · see citing works
Prävalenz von Sensibilisierungen gegen Inhalations- und Nahrungsmittelallergene
Haftenberger, M., Laußmann, D., Ellert, U., Kalcklösch, M., Langen, U., Schlaud, M., Schmitz, R., & Thamm, M. (2013) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-012-1658-1 · Cited by 164 · see citing works
Zygmont, C. S., & Smith, M. R. (2014) · The Quantitative Methods for Psychology · doi:10.20982/tqmp.10.1.p040 · Cited by 149 · see citing works
Ortega, F. B., Leskošek, B., Blagus, R., Gil-Cosano, J. J., Mäestu, J., Tomkinson, G. R., Ruiz, J. R., Mäestu, E., Starc, G., Milanović, I., et al. (2023) · British Journal of Sports Medicine · doi:10.1136/bjsports-2022-106176 · Cited by 167 · see citing works
Pelikan, J. M., Link, T., Straßmayr, C., Waldherr, K., Alfers, T., Bøggild, H., Griebler, R., Lopatina, M. V., Mikšová, D., Nielsen, M. G., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192114129 · Cited by 141 · see citing works
Children’s everyday exposure to food marketing: an objective analysis using wearable cameras
Signal, L. N., Stanley, J., Smith, M., Barr, M., Chambers, T. J., Zhou, J., Duane, A., Gurrin, C. G., Smeaton, A. F., McKerchar, C., et al. (2017) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-017-0570-3 · Cited by 134 · see citing works
Wilson, E. C., Chen, Y., Arayasirikul, S., Wenzel, C., & Raymond, H. F. (2014) · Journal of Urban Health · doi:10.1007/s11524-014-9921-4 · Cited by 131 · see citing works
Measurement error in two‐stage analyses, with application to air pollution epidemiology
Szpiro, A. A., & Paciorek, C. J. (2013) · Environmetrics · doi:10.1002/env.2233 · Cited by 130 · see citing works
Oulhote, Y., Mergler, D., & Bouchard, M. F. (2014) · Environmental Health · doi:10.1186/1476-069x-13-87 · Cited by 128 · see citing works
Alcohol Consumption, Heavy Drinking, and Mortality: Rethinking the J-Shaped Curve
Plunk, A. D., Syed‐Mohammed, H., Cavazos‐Rehg, P. A., Bierut, L. J., & Grucza, R. A. (2013) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.12250 · Cited by 127 · see citing works
Measuring Public Opinion with Surveys
Berinsky, A. J. (2017) · Annual Review of Political Science · doi:10.1146/annurev-polisci-101513-113724 · Cited by 119 · see citing works
Mapping exclusive breastfeeding in Africa between 2000 and 2017
Bhattacharjee, N. V., Schaeffer, L. E., Marczak, L. B., Ross, J. M., Swartz, S. J., Albright, J., Gardner, W. M., Shields, C., Sligar, A., Schipp, M. F., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0525-0 · Cited by 115 · see citing works
Immune correlates analysis of the PREVENT-19 COVID-19 vaccine efficacy clinical trial
Fong, Y., Huang, Y., Benkeser, D. C., Carpp, L. N., Áñez, G., Woo, W., McGarry, A., Dunkle, L. M., Cho, I., Houchens, C. R., et al. (2023) · Nature Communications · doi:10.1038/s41467-022-35768-3 · Cited by 100 · see citing works
Organizing and Analyzing the Activity Data in NHANES
Leroux, A., Di, J., Smirnova, E., McGuffey, E. J., Cao, Q., Mokhtari, E. B., Tabacu, L. M., Zipunnikov, V. M., Urbanek, J. K., & Crainiceanu, C. M. (2019) · Statistics in Biosciences · doi:10.1007/s12561-018-09229-9 · Cited by 100 · see citing works
Statistical Methods for the Analysis of Time–Location Sampling Data
Karon, J. M., & Wejnert, C. (2012) · Journal of Urban Health · doi:10.1007/s11524-012-9676-8 · Cited by 96 · see citing works
Connections between Survey Calibration Estimators and Semiparametric Models for Incomplete Data
Lumley, T., Shaw, P. A., & Dai, J. Y. (2011) · International Statistical Review · doi:10.1111/j.1751-5823.2011.00138.x · Cited by 96 · see citing works
Self-citationCollaborators, L. D. B. O. M., Kinyoki, D. K., Ross, J. M., Lazzar-Atwood, A., Munro, S. B., Schaeffer, L. E., Abbasalizad-Farhangi, M., Abbasi, M., Abbastabar, H., Abdelalim, A., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0807-6 · Cited by 99 · see citing works
Design, Development and Construct Validation of the Children’s Dietary Inflammatory Index
Khan, S., Wirth, M. D., Ortaglia, A., Alvarado, C. R., Shivappa, N., Hurley, T. G., & Hébert, J. R. (2018) · Nutrients · doi:10.3390/nu10080993 · Cited by 92 · see citing works
Using SPSS to Analyze Complex Survey Data: A Primer
Zou, D., Lloyd, J. E. V., & Baumbusch, J. (2020) · Journal of Modern Applied Statistical Methods · doi:10.22237/jmasm/1556670300 · Cited by 91 · see citing works
Uncovering survivorship bias in longitudinal mental health surveys during the COVID-19 pandemic
Czeisler, M. É., Wiley, J. F., Czeisler, C. A., Rajaratnam, S. M. W., & Howard, M. E. (2021) · Epidemiology and Psychiatric Sciences · doi:10.1017/s204579602100038x · Cited by 90 · see citing works
Hiver, P. V., & Al‐Hoorie, A. H. (2019) · Language Learning · doi:10.1111/lang.12371 · Cited by 90 · see citing works
Immune correlates analysis of the ENSEMBLE single Ad26.COV2.S dose vaccine efficacy clinical trial
Fong, Y., McDermott, A. B., Benkeser, D. C., Roels, S., Stieh, D. J., Vandebosch, A., Gars, M. L., Roey, G. A. V., Houchens, C. R., Martins, K. A. O., et al. (2022) · Nature Microbiology · doi:10.1038/s41564-022-01262-1 · Cited by 91 · see citing works
The Epidemiology of Interpandemic and Pandemic Influenza in Vietnam, 2007–2010
Horby, P., Mai, L. Q., Fox, A., Thái, P. Q., Yen, N. T. T., Thanh, L. T., Hằng, N. L. K., Dương, T. N., Thoang, D. D., Farrar, J., et al. (2012) · American Journal of Epidemiology · doi:10.1093/aje/kws121 · Cited by 84 · see citing works
Who wants to forgive and forget? Transitional justice preferences in postwar Burundi
Samii, C. (2012) · Journal of Peace Research · doi:10.1177/0022343312463713 · Cited by 86 · see citing works
Reichel, D. (2017) · Journal of Interpersonal Violence · doi:10.1177/0886260517698951 · Cited by 87 · see citing works
de Abreu Costa, M., D’Alò de Oliveira, G. S., Tatton-Ramos, T., Manfro, G. G., & Salum, G. A. (2019) · Mindfulness · doi:10.1007/s12671-018-1058-1 · Cited by 85 · see citing works
LaKind, J. S., Levesque, J., Dumas, P., Bryan, S. N., Clarke, J., & Naiman, D. Q. (2012) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/jes.2012.1 · Cited by 81 · see citing works
Kids’Cam: An Objective Methodology to Study the World in Which Children Live
Signal, L. N., Smith, M., Barr, M., Stanley, J., Chambers, T. J., Zhou, J., Duane, A., Jenkin, G. L. S., Pearson, A. L., Gurrin, C. G., et al. (2017) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2017.02.016 · Cited by 80 · see citing works
Flood-Exposure is Associated with Higher Prevalence of Child Undernutrition in Rural Eastern India
Rodriguez-Llanes, J. M., Ranjan-Dash, S., Mukhopadhyay, A., & Guha‐Sapir, D. (2016) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph13020210 · Cited by 81 · see citing works
Muscle Weakness Thresholds for Prediction of Diabetes in Adults
Peterson, M. D., Zhang, P., Choksi, P. U., Markides, K. S., & Snih, S. A. (2016) · Sports Medicine · doi:10.1007/s40279-015-0463-z · Cited by 78 · see citing works
A survey of bootstrap methods in finite population sampling
Mashreghi, Z., Haziza, D., & Léger, C. (2016) · Statistics Surveys · doi:10.1214/16-ss113 · Cited by 77 · see citing works
Reyes-Vega, M. F., Soto-Cabezas, M. G., Cárdenas, F., Martel, K. S., Valle-Campos, A., Valverde, J., Vidal-Anzardo, M. H., Falcón, M. E., & Munayco, C. V. (2021) · EClinicalMedicine · doi:10.1016/j.eclinm.2021.100801 · Cited by 73 · see citing works
Estimation of Social Exclusion Indicators from Complex Surveys: The R Package Laeken
Alfons, A., & Templ, M. (2012) · Journal of Statistical Software · doi:10.18637/jss.v054.i15 · Cited by 73 · see citing works
Network Model-Assisted Inference from Respondent-Driven Sampling Data
Gile, K. J., & Handcock, M. S. (2015) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12091 · Cited by 73 · see citing works
Explicit and Hidden Racial Bias in the Framing of Social Problems
Drakulich, K. (2015) · Social Problems · doi:10.1093/socpro/spu003 · Cited by 73 · see citing works
Molloy, J., Koplin, J. J., Allen, K. J., Tang, M. L. K., Collier, F., Carlin, J. B., Saffery, R., Burgner, D. P., Ranganathan, S., Dwyer, T., et al. (2017) · Allergy · doi:10.1111/all.13122 · Cited by 71 · see citing works
Hansen, B. T., Kjær, S. K., Arnheim‐Dahlström, L., Liaw, K., Juul, K. E., Thomsen, L. T., Frederiksen, K., Elfström, K. M., Munk, C., & Nygård, M. (2019) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/aogs.13732 · Cited by 68 · see citing works
Centers for Disease Control and Prevention (CDC)
Simon, S. D. (2018) · Springer eBooks · doi:10.1007/978-3-319-32001-4_258-1 · Cited by 65 · see citing works
Leite, W., Jiménez, F., Kaya, Y., Stapleton, L. M., MacInnes, J., & Sandbach, R. (2015) · Multivariate Behavioral Research · doi:10.1080/00273171.2014.991018 · Cited by 55 · see citing works
Garchitorena, A., Miller, A. C., Cordier, L., Rabeza, V. R., Randriamanambintsoa, M., Razanadrakato, H.-T. R., Hall, L., Gikic, D., Haruna, J., McCarty, M. G., et al. (2018) · BMJ Global Health · doi:10.1136/bmjgh-2018-000762 · Cited by 62 · see citing works
Group Entitlement, Anger and Participation in Intergroup Violence
Claassen, C. (2014) · British Journal of Political Science · doi:10.1017/s000712341400012x · Cited by 61 · see citing works
Tests for Regression Models Fitted to Survey Data
Lumley, T., & Scott, A. (2014) · Australian & New Zealand Journal of Statistics · doi:10.1111/anzs.12065 · Cited by 61 · see citing works
Self-citationPetreas, M. X., Nelson, D. O., Brown, F. R., Goldberg, D. E., Hurley, S. E., & Reynolds, P. (2010) · Environment International · doi:10.1016/j.envint.2010.09.001 · Cited by 61 · see citing works
Chao, Y., & Wu, C.-J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183997 · Cited by 60 · see citing works
Schiltz, N. K. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.953886 · Cited by 59 · see citing works
Ni, M. Y., Li, T. K., Pang, H., Chan, B. H. Y., Kawachi, I. I., Viswanath, K., Schooling, C. M., & Leung, G. M. (2017) · American Journal of Public Health · doi:10.2105/ajph.2016.303651 · Cited by 58 · see citing works
Davies, J. N., Faschinger, A., Galante, J., & Dam, N. T. V. (2024) · Scientific Reports · doi:10.1038/s41598-024-64562-y · Cited by 61 · see citing works
Joy, M., Hobbs, R. F., Bernal, J. L., Sherlock, J., Amirthalingam, G., McGagh, D., Akinyemi, O., Byford, R. C., Dabrera, G., Dorward, J., et al. (2020) · British Journal of General Practice · doi:10.3399/bjgp20x713393 · Cited by 55 · see citing works
Estimated seroprevalence of SARS-CoV-2 antibodies among adults in Orange County, California
Bruckner, T. A., Parker, D. M., Bartell, S. M., Vieira, V. M., Khan, S., Noymer, A., Drum, E., Albala, B., Zahn, M., & Boden-Albala, B. M. (2021) · Scientific Reports · doi:10.1038/s41598-021-82662-x · Cited by 54 · see citing works
Tsoi, M. F., Lo, C. W. H., Cheung, T. T., & Cheung, B. M. Y. (2021) · Scientific Reports · doi:10.1038/s41598-021-82435-6 · Cited by 54 · see citing works
Bayesian Nonparametric Weighted Sampling Inference ∗
Si, Y., Pillai, N. S., & Gelman, A. (2013) · Cited by 53 · see citing works
Cuong, V. M., Assanangkornchai, S., Wichaidit, W., Hanh, V. T. M., & Hạnh, H. T. M. (2021) · Journal of Behavioral Addictions · doi:10.1556/2006.2021.00064 · Cited by 52 · see citing works
Weitzel, E. C., Glaesmer, H., Hinz, A., Zeynalova, S., Henger, S., Engel, C., Löffler, M., Reyes, N., Wirkner, K., Witte, A. V., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19159601 · Cited by 53 · see citing works
The Haiti cardiovascular disease cohort: study protocol for a population-based longitudinal cohort
Pierre, J. L., Tymejczyk, O., Rouzier, V., Smith, C., Preval, F., Inddy, J., Raynold, J. B., Victor, J., Sévère, P., Apollon, S., et al. (2020) · BMC Public Health · doi:10.1186/s12889-020-09734-x · Cited by 51 · see citing works
Masood, M., & Reidpath, D. D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0178928 · Cited by 51 · see citing works
Bayesian Nonparametric Weighted Sampling Inference
Si, Y., Pillai, N. S., & Gelman, A. (2015) · Bayesian Analysis · doi:10.1214/14-ba924 · Cited by 49 · see citing works
Prevalence of autonomic dysfunction in hospitalized patients with Guillain-Barré syndrome
Anandan, C., Khuder, S., & Koffman, B. M. (2016) · Muscle & Nerve · doi:10.1002/mus.25551 · Cited by 48 · see citing works
Pearson, A. L., Bottomley, R., Chambers, T., Thornton, L. E., Stanley, J., Smith, M., Barr, M., & Signal, L. N. (2017) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph14060563 · Cited by 48 · see citing works
Périssé, A. R. S., Souza‐Santos, R., Duarte, R., Santos, F. N., de Andrade, C. R., Rodrigues, N. C. P., Schramm, J. M. D. A., da Silva, E. D., Jacobson, L. D. S. V., Lemos, M. C. F., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0243239 · Cited by 47 · see citing works
Reece, A., & Hulse, G. (2021) · Scientific Reports · doi:10.1038/s41598-021-93411-5 · Cited by 37 · see citing works
Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias
Caughey, D., Berinsky, A. J., Chatfield, S., Hartman, E., Schickler, E., & Sekhon, J. S. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108879217 · Cited by 46 · see citing works
Accounting for Complex Sampling in Survey Estimation: A Review of Current Software Tools
West, B. T., Sakshaug, J. W., & Aurelien, G. A. S. (2018) · Journal of Official Statistics · doi:10.2478/jos-2018-0034 · Cited by 43 · see citing works
Oral hygiene habits in Portugal: results from the first Health Examination Survey (INSEF 2015)
Santos, J., Antunes, L., Namorado, S., Kislaya, I., Santos, A. J., Rodrigues, A. P., Braz, P., Gaio, V., Barreto, M., Lyshol, H., et al. (2019) · Acta Odontologica Scandinavica · doi:10.1080/00016357.2018.1564839 · Cited by 43 · see citing works
Benkeser, D. C., Montefiori, D. C., McDermott, A. B., Fong, Y., Janes, H., Deng, W., Zhou, H., Houchens, C. R., Martins, K. A. O., Jayashankar, L., et al. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.ade9078 · Cited by 43 · see citing works
Introduction to the Design and Analysis of Complex Survey Data
Skinner, C. J., & Wakefield, J. (2017) · Statistical Science · doi:10.1214/17-sts614 · Cited by 43 · see citing works
Brunner, M., Keller, L., Stallasch, S. E., Kretschmann, J., Hasl, A., Preckel, F., Lüdtke, O., & Hedges, L. V. (2022) · Research Synthesis Methods · doi:10.1002/jrsm.1584 · Cited by 44 · see citing works
Immune correlates analysis of a phase 3 trial of the AZD1222 (ChAdOx1 nCoV-19) vaccine
Benkeser, D. C., Fong, Y., Janes, H., Kelly, E. J., Hirsch, I., Sproule, S., Stanley, A. M., Maaske, J., Villafana, T. L., Houchens, C. R., et al. (2023) · npj Vaccines · doi:10.1038/s41541-023-00630-0 · Cited by 41 · see citing works
Physician Specialty and Variations in Adoption of Electronic Health Records
Banerjee, S., Kaushal, R., Kern, L. M., & Grinspan, Z. M. (2013) · Applied Clinical Informatics · doi:10.4338/aci-2013-02-ra-0015 · Cited by 41 · see citing works
Rahman, H. H., Niemann, D., & Munson‐McGee, S. H. (2021) · International Urology and Nephrology · doi:10.1007/s11255-021-03018-y · Cited by 41 · see citing works
Should Rape Kit Testing Be Prioritized by Victim–Offender Relationship?
Campbell, R., Pierce, S. J., Sharma, D. B., Feeney, H., & Fehler‐Cabral, G. (2016) · Criminology & Public Policy · doi:10.1111/1745-9133.12205 · Cited by 40 · see citing works
COVID-19 Vaccine Acceptance Among US Parents: A Nationally Representative Survey
Hammershaimb, E. A., Cole, L. D., Liang, Y., Hendrich, M. A., Das, D., Petrin, R., Cataldi, J. R., O’Leary, S. T., & Campbell, J. D. (2022) · Journal of the Pediatric Infectious Diseases Society · doi:10.1093/jpids/piac049 · Cited by 40 · see citing works
Comparison of estimators in nested case–control studies with multiple outcomes
Støer, N. C., & Samuelsen, S. O. (2012) · Lifetime Data Analysis · doi:10.1007/s10985-012-9214-8 · Cited by 39 · see citing works
Pramanik, S., Ghosh, A., Nanda, R. B., de Rouw, M., Forth, P., & Albert, S. (2018) · BMC Public Health · doi:10.1186/s12889-018-5458-x · Cited by 38 · see citing works
Marsh, H. W., Zanden, B. E. V., Parker, P. D., Guo, J., Conigrave, J. H., & Seaton, M. (2019) · American Educational Research Journal · doi:10.3102/0002831218824111 · Cited by 38 · see citing works
Generalizing randomized trial findings to a target population using complex survey population data
Ackerman, B., Lesko, C. R., Siddique, J., Susukida, R., & Stuart, E. A. (2020) · Statistics in Medicine · doi:10.1002/sim.8822 · Cited by 38 · see citing works
Fitting regression models with response‐biased samples
Scott, A. J., & Wild, C. J. (2011) · Canadian Journal of Statistics · doi:10.1002/cjs.10114 · Cited by 37 · see citing works
Human papillomavirus genotype-specific risks for cervical intraepithelial lesions
Nygård, M., Hansen, B. T., Kjaer, S. K., Hortlund, M., Tryggvadóttir, L., Munk, C., Lagheden, C., Sigurdardottir, L. G., Campbell, S., Liaw, K.-L., et al. (2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2020.1814097 · Cited by 36 · see citing works
Reece, A. S., & Hulse, G. K. (2020) · BMC Pediatrics · doi:10.1186/s12887-020-02431-z · Cited by 36 · see citing works
Rahman, H. H., Niemann, D., & Munson‐McGee, S. H. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-23631-3 · Cited by 36 · see citing works
Walia, A., Mandell, S. M., Mercaldo, N. D., Michaels, D. R., Robertson, A. C., Banerjee, A., Pai, R., Klinck, J. R., Weinger, M. B., Pandharipande, P. P., et al. (2012) · Liver Transplantation · doi:10.1002/lt.23427 · Cited by 36 · see citing works
Peñalvo, J. L., & López‐Romero, P. (2012) · Journal of Nutrition · doi:10.3945/jn.111.150516 · Cited by 36 · see citing works
Schwarzkopf, D., Rose, N., Fleischmann-Struzek, C., Boden, B., Dorow, H., Edel, A., Friedrich, M. E., Gonnert, F. A., Götz, J., Gründling, M., et al. (2023) · Infection · doi:10.1007/s15010-023-02091-y · Cited by 35 · see citing works
Spittal, M. J., Carlin, J. B., Currier, D., Downes, M., English, D. R., Gordon, I., Pirkis, J., & Gurrin, L. C. (2016) · BMC Public Health · doi:10.1186/s12889-016-3699-0 · Cited by 35 · see citing works
Fleming, T. M., Ball, J., Bavin, L. M., Rodriguez, C. R., Peiris-John, R. J., Crengle, S. M., Sutcliffe, K., Lewycka, S. O., Archer, D. J., & Clark, T. C. (2022) · Journal of the Royal Society of New Zealand · doi:10.1080/03036758.2022.2072349 · Cited by 35 · see citing works
Reranking partisan animosity in algorithmic social media feeds alters affective polarization
Piccardi, T., Saveski, M., Jia, C., Hancock, J., Tsai, J. L., & Bernstein, M. S. (2025) · Science · doi:10.1126/science.adu5584 · Cited by 34 · see citing works
To Claim or Not to Claim? How Territorial Value Shapes Demands for Self-Determination
Kelle, F. (2017) · Comparative Political Studies · doi:10.1177/0010414016666837 · Cited by 19 · see citing works
Association of Socioeconomic Status With Life's Essential 8 Varies by Race and Ethnicity
Williams, A., Nolan, T. S., Brock, G. N., Garner, J. A., Brewer, L. C., Sánchez, E., & Joseph, J. J. (2023) · Journal of the American Heart Association · doi:10.1161/jaha.122.029254 · Cited by 32 · see citing works
- Authors
- Lumley, T.
- Corresponding author
- Lumley, Thomas
- ORCID
- Lumley, Thomas
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2010-02-15
- OpenAlex
- W4254617165
- Cited by
- 647
- References
- 0
- Citations by year
- 2026: 96 · 2025: 67 · 2024: 52 · 2023: 50 · 2022: 57 · 2021: 58 · 2020: 40 · 2019: 24 · 2018: 33 · 2017: 23 · 2016: 23 · 2015: 32 · 2014: 23 · 2013: 18 · 2012: 40
- FWCI
- 6.98
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley eBooks (publishedVersion)
- ResearchSpace (University of Auckland) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- survey sampling, stratified sampling, cluster sampling, post-stratification, double sampling, missing data, causal inference, probability weighting, survey weighting, regression models
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
