Cited by 651Survey Sampling and Estimation TechniquesSurvey Methodology and NonresponseStatistical Methods and Bayesian Inference

The DOI matches its Crossref record.

Complex Surveys: A Guide to Analysis Using R

Lumley, Thomas·2010·Wiley eBooks

DOI 10.1002/9780470580066

Open this paper in CoChat — free account

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

Crossref · 10.1002/9780470580066

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Still being checked.

Sorted by citations

Items 401–500 of 651

Datenerhebung bei Mietspiegeln: Überblick und Einordnung aus Sicht der Statistik
Kauermann, G., Windmann, M., & Münnich, R. T. (2020) · AStA Wirtschafts- und Sozialstatistisches Archiv · doi:10.1007/s11943-020-00272-x · Cited by 3
Beyond belief: How religion fosters self‐determination
Kelle, F. L. (2021) · Nations and Nationalism · doi:10.1111/nana.12761 · Cited by 3
Geospatial Patterns of Progress towards UNAIDS “95-95-95” Targets and Community Vulnerability in ZambiaPreprint
Cuadros, D. F., Chowdhury, T., Milali, M. P., Citron, D., Nyimbili, S., Vlahakis, N., Savory, T., Mulenga, L., Sivile, S., Zyambo, K., et al. (2023) · medRxiv · doi:10.1101/2023.04.24.23289044 · Cited by 3
Urinary Volatile Organic Compound Metabolites are Associated with High Blood Pressure Among Non-smoking Participants in the National Health and Nutrition Examination Survey (2011-2018)Preprint
McGraw, K. E., Domingo‐Relloso, A., Riggs, D. W., Medgyesi, D. N., Neupane, R., Stingone, J. A., & Sanchez, T. R. (2024) · medRxiv · doi:10.1101/2024.07.18.24310671 · Cited by 3
Depressive and anxiety symptoms in current, previous, and no history of ME/CFS: NHIS 2022 analysis
Sirotiak, Z., Adamowicz, J. L., & Thomas, E. B. K. (2024) · Quality of Life Research · doi:10.1007/s11136-024-03854-2 · Cited by 2
How to Transfer User Feedback into Product Improvements?
Bertram, E., Hollender, N., Juhl, S., Loop, S. L., & Schrepp, M. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-93224-3_1 · Cited by 2
Psychische Gesundheit und körperliche Aktivität von Heranwachsenden unterschiedlicher sozialer Herkunft
Reiß, F., Volk, C., Behn, S., Kaman, A., Klos, L., Burchartz, A., Hinz, T., Hanssen‐Doose, A., Wöll, A., Niessner, C., et al. (2025) · Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie · doi:10.1024/1422-4917/a001045 · Cited by 2
Health and Development of Children Born Moderate and Late Preterm and Early Term at Age 10 in French Birth Cohorts ELFE and EPIPAGE 2
Pavičić, L., Marchand‐Martin, L., Mitha, A., Dufourg, M., Pierrat, V., Benhammou, V., Charles, M.-A. A., & Ancel, P. (2025) · Paediatric and Perinatal Epidemiology · doi:10.1111/ppe.70069 · Cited by 2
A Practical Framework for Incorporating Complex Survey Design in Bayesian Kernel Machine Regression
Jehu-Appiah, D. N., & Obeng-Gyasi, E. (2026) · Stats · doi:10.3390/stats9030046 · Cited by 2
Development and Validation of the HLS‐Q12‐OA Health Literacy Instrument for Older Adults: A Multidimensional Rasch and Confirmatory Factor Analysis
Yu, J., Zhao, J., Jiang, L., Yu, S., Li, F., Chen, Y., Xie, B., & Jin, H. (2026) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.70565 · Cited by 2
The Effects of Participatory Budgeting on Local Government Service Delivery: Evidence From Sumedang
Musadat, A. (2022) · Bulletin of Indonesian Economic Studies · doi:10.1080/00074918.2021.1931031 · Cited by 2
Nowcasting short-term indicators with machine learning methods
Fröhlich, M. (2022) · Statistical Journal of the IAOS · doi:10.3233/sji-220002 · Cited by 2
Sample Design for Analysis using High-Influence Probability Sampling
Clark, R. G., & Steel, D. G. (2022) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12916 · Cited by 2
Correlates of mental disorder and harmful substance use in an indigenous Australian urban sample: an analysis of data from the Queensland Urban Indigenous Mental Health Survey
Basit, T. A., Toombs, M. R., Santomauro, D. F., Whiteford, H., & Ferrari, A. J. (2024) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-024-02648-8 · Cited by 2
The impact of accredited social health activists in India on uptake of modern contraception: A nationally representative multilevel modelling study
Moughalian, C., Almansa, J., Vogt, T. C., Biesma, R. G., Täuber, S., Rao, A. P., Srivastava, A., & Stekelenburg, J. (2024) · Global Public Health · doi:10.1080/17441692.2024.2329216 · Cited by 2
Adapting malaria indicator surveys to investigate treatment adherence: a pilot study on Bioko Island, Equatorial Guinea
Galick, D. S., Donfack, O. T., Mifumu, T. A. O., Onvogo, C. N. O., Dougan, T. B., Mikue, M. I. A. A., Nguema, G. E., Eribo, C. O., Euka, M. M. B., Martin, K. P. M., et al. (2024) · Malaria Journal · doi:10.1186/s12936-024-05057-z · Cited by 3
Race/Ethnicity and Employment Insecurity: Impacts of COVID-19 on the US Labor Force and Beyond
Wang, Q., & Kang, W. (2024) · Population Research and Policy Review · doi:10.1007/s11113-024-09911-5 · Cited by 2
Metropolitan, Urban, and Rural Regions: How Regional Differences Affect Elementary School Students in Germany
Schwerter, J., Bleher, J., Doebler, P., & McElvany, N. (2025) · AERA Open · doi:10.1177/23328584251331453 · Cited by 8
Expected Impact of Implementing the PAHO Regional Sodium Targets in Mexico
Muciño-Sandoval, K., Zepeda‐Tello, R., López‐Olmedo, N., Stern, D., Tolentino‐Mayo, L., Vargas-Meza, J., Pather, K., Mattei, J., Rivera, J. Á., Campos‐Nonato, I., et al. (2025) · Hypertension · doi:10.1161/hypertensionaha.124.24021 · Cited by 2
« Travailler ensemble » en formation à l’enseignement : une obligation productive
Périsset, D. (2014) · Questions vives recherches en éducation · doi:10.4000/questionsvives.1511 · Cited by 2
Introduction and Motivating Examples
Wakefield, J. (2012) · Springer series in statistics · doi:10.1007/978-1-4419-0925-1_1 · Cited by 2
Calibration and Other Uses of Auxiliary Data in Weighting
Valliant, R. L., Dever, J. A., & Kreuter, F. (2013) · Springer eBooks · doi:10.1007/978-1-4614-6449-5_14 · Cited by 3
Learning by design: lessons from a baseline study in the NAMWASH Small Towns Programme, Mozambique
Barrington, D., & Admiraal, R. (2014) · Waterlines · doi:10.3362/1756-3488.2014.003 · Cited by 2
Cross‐sectional HIV incidence estimation in an evolving epidemic
Morrison, D. E., Laeyendecker, O. B., & Brookmeyer, R. (2019) · Statistics in Medicine · doi:10.1002/sim.8196 · Cited by 2
Spatial variation in species‐specific catch and size structures across a large‐scale and diffuse freshwater recreational‐only fishery
Ochwada‐Doyle, F. A., Miles, N., Stark, K. E., Hughes, J. M., Murphy, J. J., Lowry, M. B., & West, L. (2021) · Fisheries Management and Ecology · doi:10.1111/fme.12510 · Cited by 2
Risk Communication After Health Care Exposures: An Experimental Vignette Survey With Patients
Elwy, A. R., Maguire, E. M., Gallagher, T. H., Asch, S. M., Durfee, J. M., Martinello, R. A., Bokhour, B. G., Gifford, A. L., Taylor, T. J., & Wagner, T. H. (2021) · MDM Policy & Practice · doi:10.1177/23814683211045659 · Cited by 2
Statistical Surveys
Quatember, A. (2015) · Springer eBooks · doi:10.1007/978-3-319-11785-0_1 · Cited by 2
Statistical analysis on egalitarian land redistribution in Ethiopia: policy evaluation using repeated cross-sectional data
Takada, J., Workneh, W. A., & Matsushita, S. (2022) · Discover Sustainability · doi:10.1007/s43621-022-00075-w · Cited by 2
Equality of BLUEs for Full, Small, and Intermediate Linear Models Under Covariance Change, with Links to Data Confidentiality and Encryption
Haslett, S. J., & Puntanen, S. (2023) · Indian statistical institute series · doi:10.1007/978-981-99-2310-6_14 · Cited by 2
Interpersonal incomparability in citizens’ views of democracy: survey evidence from Ukraine
Erlich, A., & Garner, C. (2018) · Journal of Elections Public Opinion and Parties · doi:10.1080/17457289.2018.1554664 · Cited by 2
A Profile of and Communication between Certified Crop Advisors and Maize Growers in the Midwest United StatesPreprint
Shah, D. A., Esker, P. D., Bradley, C. A., Conley, S. P., Paul, P. A., & Robertson, A. E. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2712339 · Cited by 2
Design‐ and Model‐Based Analysis of Propensity Score Designs
Steiner, P. M. (2016) · Wiley series in probability and statistics · doi:10.1002/9781118947074.ch14 · Cited by 2
Analysis of C-reactive protein omics-measures associates methylation risk score with sleep health and related health outcomesPreprint
Wang, Z., Wallace, D. A., Spitzer, B., Huang, T.-Y., Taylor, K., Rotter, J., Rich, S. S., Liu, P. Y., Daviglus, M., Hou, L.-F., et al. (2024) · medRxiv · doi:10.1101/2024.09.04.24313008 · Cited by 2
Quelle prise en compte des dynamiques urbaines dans la prévision de la demande de transport ?
Delgado, J. C. (2013) · theses.fr (ABES) · doi:10.70675/c40aa77ez595fz4b3dz9a1az2465e2daaf9b · Cited by 2
Measuring family wealth among secondary school students with home possessions indicators: Investigation of dimensionality and measurement problems
Morkevičius, V., Erentaitė, R., & Raižienė, S. (2022) · Frontiers in Education · doi:10.3389/feduc.2022.1050460 · Cited by 1
Adolescent nonmedical use of prescription pain relievers: an examination of primary socialization theory
Nicholson, J., Higgins, G. E., Rahman, S. E., Williams, F. A., & Marcum, C. D. (2024) · Journal of Substance Use · doi:10.1080/14659891.2024.2347387 · Cited by 2
Carrying out single-stage probability sampling designs using functions in R software
Ghorbani, H. (2022) · Biometrics & Biostatistics International Journal · doi:10.15406/bbij.2022.11.00349 · Cited by 1
Subscapular skinfold thickness, not other anthropometric and dual-energy X-ray absorptiometry-measured adiposity, is positively associated with the presence of age-related macular degeneration: a cross-sectional study from National Health and Nutrition Examination Survey 2005–2006
Gedtal, M., Woodside, J. V., Wright, D. M., Rayman, M. P., & Hogg, R. E. (2024) · BMJ Open Ophthalmology · doi:10.1136/bmjophth-2023-001505 · Cited by 2
Intelligence and Individual Differences in Astrological Belief
Edwards, T., March, M. J., Willoughby, E. A., & Giannelis, A. (2025) · Journal of Individual Differences · doi:10.1027/1614-0001/a000434 · Cited by 1
Alcances y limitaciones de fuentes estadísticas sobre empleo y acceso a servicios médicos de la población guatemalteca en la frontera sur de México
Vargas, R. J. (2025) · Revista Pueblos y fronteras digital · doi:10.22201/cimsur.18704115e.2025.v20.737 · Cited by 1
Financial Stress and Tobacco Expenditure in Australian Households: A Cross-Sectional Analysis of Prevalence and Association Across Wealth and Income Levels
Smit, K., Dowling, R., Room, R., Laslett, A., Borland, R., Livingstone, C. H., & Jiang, H. (2025) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntaf102 · Cited by 1
Predicting distributions of physical activity profiles in the National Health and Nutrition Examination Survey database using a partially linear Fréchet single index model
Matabuena, M., Ghosal, A., Meiring, W., & Petersen, A. (2024) · Biostatistics · doi:10.1093/biostatistics/kxaf013 · Cited by 9
How Information-Seeking Reduces Cancer Fatalism: A Comparison of the Mediating Role of Risk Perception in Young and Older Adults
Li, J., & Tan, L. (2025) · Journal of Cancer Education · doi:10.1007/s13187-025-02730-y · Cited by 1
Treatment persistence and overall survival in myelofibrosis treated with ruxolitinib were not affected by the covid-19 pandemic, despite the reduced starting dose: Analysis of AIFA registries
Breccia, M., Celant, S., Palandri, F., Passamonti, F., Olimpieri, P. P., Summa, V., Guarcello, A., Palumbo, G. A., Pane, F., Guglielmelli, P., et al. (2025) · Annals of Hematology · doi:10.1007/s00277-025-06601-w · Cited by 1
Instructional Strategies to Maintain Students’ Attention: A National Teacher Survey on Classroom-Based Breaks
Godwin, K. E., Moreno, A. J., Leroux, A. J., & Kaur, F. (2025) · Early Childhood Education Journal · doi:10.1007/s10643-025-01996-7 · Cited by 1
Analysis of Antibody Markers as Immune Correlates of Risk of Severe COVID-19 in the PREVENT-19 Efficacy Trial of the NVX-CoV2373 Recombinant Protein Vaccine
Fong, Y., Huang, Y., Huang, Y., Woo, W., McGarry, A., Áñez, G., Dunkle, L. M., Cho, I., Houchens, C. R., Martins, K. A. O., et al. (2025) · Clinical Infectious Diseases · doi:10.1093/cid/ciaf558 · Cited by 1
The association of serum D-vitamin concentration with 10-year cardiovascular disease event risk among Russian, Somali, and Kurdish origin migrants and the general Finnish population
Labi, K., Lyytinen, A., Velázquez, R. G., & Skogberg, N. (2025) · Journal of Public Health Research · doi:10.1177/22799036251388590 · Cited by 1
Mediating role of aging and obesity in the relationship between dietary index for gut microbiota and metabolic syndrome and its potential regulatory mechanisms
Yang, H., Zhao, S., Zhao, H., Pang, Z., Yao, H., & Wang, X. G. (2025) · European journal of medical research · doi:10.1186/s40001-025-03721-x · Cited by 1
Interpersonal conflicts, social media use and depression associated with protests
Shi, J., Leung, C. M. C., Chen, R., Xiao, X., Flores, F. P., Ning, K., Ma, T. S. W., Wong, S. B. K., Wong, C. S. M., Kim, Y., et al. (2026) · Nature Medicine · doi:10.1038/s41591-025-04145-0 · Cited by 1
Vaccine confidence and information sources among children and adolescents: A national cross-sectional survey
Hansen, B. T., & Greve‐Isdahl, M. (2026) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2026.2639798 · Cited by 1
Agricultural Credit, Farm Performance and Technology Adoption Under Credit Rationing in Peru
Trujillo, P. A. R., Román, C. E. A., Otoya-Barrenechea, J., Tolentino-Soriano, M., García, L., & Trigoso, J. A. C. (2026) · Sustainability · doi:10.3390/su18062761 · Cited by 1
The lost foundations: Projected trajectories linking COVID-19–related school readiness losses to later academic achievement
González, M., Tórtora, G., & Vásquez‐Echeverría, A. (2026) · Child Development · doi:10.1093/chidev/aacag067 · Cited by 1
“We do anything to get alcohol”: A mixed methods approach to explore the intersections between alcohol use and HIV risk and infection amongst adolescent girls and young women from high HIV-burdened communities in South Africa
Bergh, K., Duby, Z., Man, J. D., Ebrahim, N., Kuo, C., Lombard, C. J., Williams, P. P., & Jonas, K. (2026) · PLoS ONE · doi:10.1371/journal.pone.0341299 · Cited by 1
Hidden cardiometabolic risk: normal weight central obesity in a nationally representative study from Türkiye
BAĞCI, H. H., Yurdakul, Ş., & Gökler, M. E. (2026) · BMC Public Health · doi:10.1186/s12889-026-27865-5 · Cited by 1
Overactive Bladder and Suicidal Ideation: A National Cross‐Sectional Study Identifying Depression as the Primary Mediator
Su, Y., Yuan, H., He, J., Pan, H., & Luo, L. (2026) · Neurourology and Urodynamics · doi:10.1002/nau.70324 · Cited by 1
The landscape of student wellbeing and academic achievement in post-Soviet education
Makhmetov, A., & Burkhanova, A. (2026) · Discover Education · doi:10.1007/s44217-026-01724-2 · Cited by 1
Predicting the Need to Visit a Dentist in Young to Middle-Aged Adults: A Development and External Validation
Penttala, M. T. (2026) · Dentistry Journal · doi:10.3390/dj14070398 · Cited by 1
Stroke burden and associated predictors in Ghana: a Bayesian analysis of the WHO study on global ageing and adult health
Iddrisu, A., & Mohammed, A. (2026) · Aging Clinical and Experimental Research · doi:10.1007/s40520-026-03462-9 · Cited by 1
Design and model choices shape inference of age-varying genetic effects on complex traits
Schoeler, T., Wiegrebe, S., Winkler, T. W., & Kutalik, Z. (2026) · Nature Aging · doi:10.1038/s43587-026-01232-w · Cited by 2
Bayesian Inference for Two‐Phase Studies with Categorical Covariates
Ross, M., & Wakefield, J. (2013) · Biometrics · doi:10.1111/biom.12019 · Cited by 1
The Pseudo-Population Concept
Quatember, A. (2015) · Springer eBooks · doi:10.1007/978-3-319-11785-0_2 · Cited by 1
The Role of Energy Intake on Fitness-Adjusted Racial/Ethnic Differences in Central Adiposity Using Quantile Regression
McDonald, S. M., Ortaglia, A., Supino, C., & Bottai, M. (2019) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-018-0523-9 · Cited by 1
Effects of Outcome and Response Models on Single-Step Calibration Estimators
Han, D., & Valliant, R. L. (2019) · Journal of Survey Statistics and Methodology · doi:10.1093/jssam/smz057 · Cited by 1
Various reasons, various trajectories? Interrupted schooling among Polish upper secondary school students
Jasińska-Maciążek, A., Hawrot, A., Marchlik, P., Tomaszewska-Pękała, H., & Żółtak, T. (2020) · Research Papers in Education · doi:10.1080/02671522.2020.1849373 · Cited by 1
Estimating Young Women Working in Kathmandu’s Adult Entertainment Sector: A Hybrid Application of Respondent Driven Sampling and Venue Site Sampling
Vincent, K., Dank, M., Jackson, O., Zhang, S. X., & Liu, W. (2021) · Journal of Human Trafficking · doi:10.1080/23322705.2021.2007461 · Cited by 2
Frequentist Inference
Wakefield, J. (2012) · Springer series in statistics · doi:10.1007/978-1-4419-0925-1_2 · Cited by 1
Sampling Designs
Benedetti, R., Piersimoni, F., & Postiglione, P. (2015) · Advances in spatial science · doi:10.1007/978-3-662-46008-5_6 · Cited by 1
Variance Estimation
Valliant, R. L., Dever, J. A., & Kreuter, F. (2018) · Statistics for social and behavioral sciences · doi:10.1007/978-3-319-93632-1_15 · Cited by 1
How Weighting by Past Vote Can Improve Estimates of Voting Intentions
Pennay, D., Misson, S., Neiger, D., & Lavrakas, P. J. (2023) · Survey Practice · doi:10.29115/sp-2023-0001 · Cited by 1
Increasing multi-hazard climate risk and financial and health impacts on northern homeowners
Schwoerer, T., Schmidt, J. I., Berman, M., Bieniek, P. A., Farquharson, L., Nicolsky, D. J., Powell, J. E., Roberts, R., Thoman, R., & Ziel, R. H. (2023) · AMBIO · doi:10.1007/s13280-023-01951-z · Cited by 4
Traditional and Contemporary Measures of Recreational Fishing Activity to Inform Sustainable Management of Blue Swimmer Crab (Portunus armatus) Fisheries in Western Australia
Smallwood, C. B., Ryan, K. L., Lai, E., & Tate, A. C. (2024) · Fisheries Management and Ecology · doi:10.1111/fme.12783 · Cited by 1
Socio-economic inequalities in access to COVID-19 tests in France in 2020: evidence from the EPICOV socio-epidemiological cohort
Geoffard, P., Jusot, F., Sireyjol, A., Warszawski, J., & Bajos, N. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1434370 · Cited by 1
A Review of the Use of Small Area Estimation in Colombia
Rico, F. O., Piñerez, C. F. T., & Ramirez-Vargas, N. (2024) · Revista Colombiana de Estadística · doi:10.15446/rce.v47n2.112779 · Cited by 1
Bayesian Tree Models for Survey Sample Data
Toth, D., Holan, S. H., & Bhaduri, D. (2025) · Journal of Survey Statistics and Methodology · doi:10.1093/jssam/smae050 · Cited by 1
Ascertainment Conditional Maximum Likelihood for Continuous Outcome Under Two‐Phase Response‐Selective Design
Amorim, G., Tao, R., Lumley, T., Shaw, P. A., & Shepherd, B. E. (2025) · Statistics in Medicine · doi:10.1002/sim.70111 · Cited by 1
Self-citation
Nonparametric Regression with Multiple Predictors
Wakefield, J. (2012) · Springer series in statistics · doi:10.1007/978-1-4419-0925-1_12 · Cited by 1
Hypothesis Testing and Variable Selection
Wakefield, J. (2012) · Springer series in statistics · doi:10.1007/978-1-4419-0925-1_4 · Cited by 1
Binary Data Models
Wakefield, J. (2012) · Springer series in statistics · doi:10.1007/978-1-4419-0925-1_7 · Cited by 1
Benefit–Risk Assessment of the French Surveillance Protocol of Apparently Healthy Biting Dogs and Cats for Human Rabies Prevention
Crozet, G., Charmet, T., Cliquet, F., Robardet, E., Dufour, B., & Rivière, J. (2021) · Veterinary Sciences · doi:10.3390/vetsci8070132 · Cited by 1
Calibration and Other Uses of Auxiliary Data in Weighting
Valliant, R. L., Dever, J. A., & Kreuter, F. (2018) · Statistics for social and behavioral sciences · doi:10.1007/978-3-319-93632-1_14 · Cited by 1
Concordance of SARS-CoV-2 Antibody Results during a Period of Low Prevalence
Miller, C. N., Althoff, K. N., Schlueter, D. J., Anton‐Culver, H., Chen, Q., Garbett, S. P., Ratsimbazafy, F., Thomsen, I. P., Karlson, E. W., Cicek, M. S., et al. (2022) · mSphere · doi:10.1128/msphere.00257-22 · Cited by 1
Epidemiological Statistics – Further Issues
McNeil, D. (2015) · Wiley StatsRef: Statistics Reference Online · doi:10.1002/9781118445112.stat00321.pub2 · Cited by 1
General Regression Models
Wakefield, J. (2012) · Springer series in statistics · doi:10.1007/978-1-4419-0925-1_9 · Cited by 1
An integrated multi-omics analysis of sleep-disordered breathing traits across multiple blood cell typesPreprint
Kurniansyah, N., Wallace, D. A., Zhang, Y., Yu, B., Cade, B. E., Wang, H., Ochs‐Balcom, H. M., Reiner, A. P., Ramos, A. R., Smith, J. D., et al. (2022) · medRxiv · doi:10.1101/2022.07.09.22277444 · Cited by 1
Breaking the Cycle: Addressing the Drivers of Impoverishing Healthcare Costs in GeorgiaPreprint
Gorgodze, T., D, A. Z. M., Catalan, J. M., & Gotsadze, G. (2025) · medRxiv · doi:10.1101/2025.01.31.25321173 · Cited by 1
Phenomic environment-wide association study (PheEWAS) models complexity in the exposomePreprint
Palmiero, N. E., Zarzar, T. G., Passero, K., Zhou, J., Crawford, D. C., & Hall, M. A. (2025) · medRxiv · doi:10.1101/2025.06.13.25329592 · Cited by 1
Multistage Sampling
Steel, D. G., & Clark, R. G. (2025) · International Encyclopedia of Statistical Science · doi:10.1007/978-3-662-69359-9_396 · Cited by 1
Some Linear Algebra
Wakefield, J. (2012) · Springer series in statistics · doi:10.1007/978-1-4419-0925-1_15
Analysis of Complex Health Survey Data
Kolenikov, S., & Pitblado, J. (2014) · doi:10.1002/9781118594629.ch29
Preliminaries for Nonparametric Regression
Wakefield, J. (2012) · Springer series in statistics · doi:10.1007/978-1-4419-0925-1_10
Developing a Survey Sample Design for Population‐Based Case–Control Studies
DiGaetano, R. (2014) · doi:10.1002/9781118594629.ch3
Mehrstufige und mehrphasige Verfahren
Kauermann, G., & Küchenhoff, H. (2010) · Springer-Lehrbuch · doi:10.1007/978-3-642-12318-4_6
Gruppierung der Population
Kauermann, G., & Küchenhoff, H. (2010) · Springer-Lehrbuch · doi:10.1007/978-3-642-12318-4_5
Comparative Clustering for Contingent Collectives
Myers, W. L., & Patil, G. P. (2012) · Springer eBooks · doi:10.1007/978-1-4614-3122-0_4
Functions of Normal Random Variables
Wakefield, J. (2012) · Springer series in statistics · doi:10.1007/978-1-4419-0925-1_17
General Regression Models
Wakefield, J. (2012) · Springer series in statistics · doi:10.1007/978-1-4419-0925-1_6
Generalized Randomized Response Questioning Designs
Quatember, A. (2015) · Springer eBooks · doi:10.1007/978-3-319-11785-0_6
The Bootstrap Method in Survey Sampling
Quatember, A. (2015) · Springer eBooks · doi:10.1007/978-3-319-11785-0_5
A Unified Framework for Statistical Disclosure Control
Quatember, A. (2015) · Springer eBooks · doi:10.1007/978-3-319-11785-0_7
Simulation Studies in Survey Sampling
Quatember, A. (2015) · Springer eBooks · doi:10.1007/978-3-319-11785-0_4

Authors: Lumley, T.
Corresponding author: Lumley, Thomas
ORCID: Lumley, Thomas
Venue: Wiley eBooks
Publisher: Wiley
Published: 2010-02-15
DOI: 10.1002/9780470580066
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

Complex Surveys: A Guide to Analysis Using R

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks