Cited by 1,001Statistical Methods in EpidemiologyGlobal Cancer Incidence and ScreeningMeta-analysis and systematic reviews

The DOI matches its Crossref record.

ESTIMATING PREVALENCE FROM THE RESULTS OF A SCREENING TEST

ROGAN, WALTER J., GLADEN, BETH·1978·American Journal of Epidemiology

DOI 10.1093/oxfordjournals.aje.a112510

Open this paper in CoChat — free account

Abstract

This paper deals with some basis properties of screening tests. Such tests purport to separate people with disease from people without. Minimal criteria for such a process to be a test are discussed. Various ways of judging the goodness of a test are examined. A common use of tests is to estimate prevalence of disease; frequency of positive tests is shown to be a bad estimate, and the necessary adjustmants are given.

Integrity signals

Registry

Crossref · 10.1093/oxfordjournals.aje.a112510

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 701–800 of 989

Examen directo y cultivo en onicomicosis
de, V. M. L. E., & Carmona‐Fonseca, J. (2001) · Piel · doi:10.1016/s0213-9251(01)72423-9 · Cited by 5
Estimating the prevalence of mastitis and other organ-specific diseases in the presence of within-animal disease correlation and diagnostic test correlation
Donald, A. W. (1994) · Preventive Veterinary Medicine · doi:10.1016/0167-5877(94)90111-2 · Cited by 5
Hepatitis B virus prevalence in India: A wake-up call for action
Swaroop, S., Shalimar, S., & Acharya, S. K. (2025) · Indian Journal of Gastroenterology · doi:10.1007/s12664-025-01804-5 · Cited by 5
Urban and peri-urban agriculture and its zoonotic risks in Kampala, Uganda
Makita, K. (2009) · ERA · Cited by 5
Optimization of a foot-and-mouth disease virus Southern African Territories–specific solid-phase competitive ELISA for small ruminant serum samples
Seoke, L., Fosgate, G. T., Opperman, P. A., Malesa, R. P., Lazarus, D. D., Sirdar, M. M., & Heath, L. (2023) · Journal of Veterinary Diagnostic Investigation · doi:10.1177/10406387231218202 · Cited by 4
Challenges in applying W.A.A.V.P. criteria to diagnosing triclabendazole resistance in Fasciola hepatica, an example from the Southern Tablelands of New South Wales, Australia
Uthayakumar, C., DeCristi, H. M., Francis, E. K., Willoughby, R. A., Taylor, S., & Calvani, N. E. D. (2025) · International Journal for Parasitology Drugs and Drug Resistance · doi:10.1016/j.ijpddr.2025.100618 · Cited by 4
Prevalence of heartwater in Guadeloupe (2024): stable endemicity and evidence of spread to Les Saintes
Dufleit, V., Guerrini, L., Dhune, M., Viry, L., Belfort, A., Jacquet-Crétides, L., Deddy, J., Cozier, J., Navès, M., Arthein, L., et al. (2025) · Ticks and Tick-borne Diseases · doi:10.1016/j.ttbdis.2025.102569 · Cited by 4
Pelvic floor disorders in women who consult primary care clinics: development and validation of case definitions using primary care electronic medical records
Ross, S., Fast, H., Garies, S., Slade, D., Jackson, D., Doraty, M., Miyagishima, R., Soós, B., Taylor, M., Williamson, T. S., et al. (2020) · CMAJ Open · doi:10.9778/cmajo.20190145 · Cited by 4
Seroprevalences of Toxoplasma gondii and Neospora caninum infections in Jordanian women who had a recent spontaneous abortion
Abo‐Shehada, M. N., Khalil, R., Abu-Halaweh, M. M., Sweis, K., Amr, Z. S., & Billeh, L. (2021) · Revista Brasileira de Parasitologia Veterinária/Brazilian Journal of Veterinary Parasitology · doi:10.1590/s1984-29612021076 · Cited by 4
Estimation of SARS-CoV-2 Seroprevalence in Central North Carolina: Accounting for Outcome Misclassification in Complex Sample Designs
Vias, N. P., Cassidy, C. A., Edwards, J. K., Xiong, K., Beatty, C., Aiello, A. E., Boyce, R. M., & Shook‐Sa, B. E. (2023) · Epidemiology · doi:10.1097/ede.0000000000001625 · Cited by 5
Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors
Ge, L., Zhang, Y., Waller, L. A., & Lyles, R. H. (2023) · The American Statistician · doi:10.1080/00031305.2023.2250401 · Cited by 4
Prevalence and risk factor investigation for exposure to Brucella species in surrogate stray cattle population reared in cow shelters in Punjab, India
Sharma, V., Sharma, R., Aulakh, R. S., Kaur, P., & Singh, B. B. (2023) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2023.106023 · Cited by 4
Accuracy of three diagnostic tests to detect tooth resorption in unowned unsocialised cats in Denmark
Eriksson, J., Denwood, M. J., Nielsen, S. S., McEvoy, F. J., Allberg, C. M., Thuesen, I. S., & Kortegaard, H. E. (2024) · Journal of Small Animal Practice · doi:10.1111/jsap.13703 · Cited by 4
A method for characterizing disease emergence curves from paired pathogen detection and serology data
Hewitt, J., Wilson‐Henjum, G., Collins, D. T., Ringenberg, J. M., Quintanal, C., Pleszewski, R., Chandler, J. C., Deliberto, T. J., & Pepin, K. M. (2024) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.14370 · Cited by 4
Estimation of the Prevalence of a Disease from Screening Tests
Karaağaoğlu, E. (1999) · Cited by 4
Evaluating the impact of transmission mode, calibration level and farmer compliance in simulation models of paratuberculosis in dairy herds
Kirkeby, C., Græsbøll, K., & Halasa, T. (2018) · Scientific Reports · doi:10.1038/s41598-018-27518-7 · Cited by 4
Estimating the cumulative incidence of SARS-CoV-2 with imperfect serological tests: Exploiting cutoff-free approaches
Bouman, J. A., Riou, J., Bonhoeffer, S., & Regoes, R. R. (2021) · doi:10.3929/ethz-b-000475839 · Cited by 4
Quantitative risk assessment of human Taenia solium exposure from consuming pork produced in Punjab, India
Megha, G. K., Singh, B. B., Sharma, R., Aulakh, R., & Brookes, V. (2021) · Zoonoses and Public Health · doi:10.1111/zph.12886 · Cited by 4
A call to protect non-clinical frontliners in the fight against COVID-19: evidence from a seroprevalence study in the Philippines
Putong, N., Agrupis, K. A., Villanueva, A. M. G., Suzuki, S., Sayo, A. R., Dimaano, E. M., Guzman, F. D., Teano, R. O., Salazar, M. J., Evangelista, J. W., et al. (2022) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2021.100353 · Cited by 4
Assessment of different monitoring strategies for early detection of FMD incursion in a free wild boar population area: a simulation modelling approach
Authority, E. F. S. (2012) · EFSA Journal · doi:10.2903/j.efsa.2012.2656 · Cited by 4
Tracking the incidence and risk factors for SARS-CoV-2 infection using historical maternal booking serum samples
Mullins, E., McCabe, R., Bird, S. M., Randell, P. A., Pond, M. J., Regan, L., Parker, E. L., McClure, M. O., Donnelly, C. A., & Donnelly, C. A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0273966 · Cited by 4
Co-exposure to Anaplasma spp., Coxiella burnetii and tick-borne encephalitis virus in sheep in southern Germany
Bauer, B. U., Runge, M., Schneider, M., Könenkamp, L., Steffen, I., Rubel, W., Ganter, M., & Schoneberg, C. (2023) · Acta veterinaria Scandinavica · doi:10.1186/s13028-022-00659-6 · Cited by 4
Validation of a rapid SARS-CoV-2 antibody test in general practice
Domen, J., Verbakel, J. Y. J., Adriaenssens, N., Scholtes, B., Peeters, B., Bruyndonckx, R., Sutter, A. D., Heytens, S., den Bruel, A. V., Desombere, I., et al. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-069997 · Cited by 4
SARS‐CoV‐2 seroprevalence and vaccine coverage from August to November 2021: A nationally representative survey in Mexico
Basto-Abreu, A. C., Carnalla, M., Torres‐Ibarra, L., Sánchez‐Pájaro, A., Martínez, M. R., Martínez-Barnetche, J., López-Martı́nez, I., Aparicio‐Antonio, R., Shamah‐Levy, T., Alpuche-Aranda, C. M., et al. (2023) · Journal of Medical Virology · doi:10.1002/jmv.29038 · Cited by 4
Hierarchical spatial modelling of pneumonia prevalence when response outcome has misclassification error: Applications to household data from Malawi
Kazembe, L. N., & Kamndaya, M. S. (2015) · Spatial and Spatio-temporal Epidemiology · doi:10.1016/j.sste.2015.11.002 · Cited by 4
Seroprevalence of small ruminant lentivirus infection in goats in Thailand
Mongkonwattanaporn, T., Lertwatcharasarakul, P., Intaravichai, P., & Rukkwamsuk, T. (2021) · Polish Journal of Veterinary Sciences · doi:10.24425/pjvs.2021.137668 · Cited by 4
Determining the SARS-CoV-2 serological immunoassay test performance indices based on the test results frequency distribution
Habibzadeh, F., Habibzadeh, P., Yadollahie, M., & Sajadi, M. M. (2022) · Biochemia Medica · doi:10.11613/bm.2022.020705 · Cited by 4
Management of bovine brucellosis in organized dairy herds through the identification of risk factors: A cross-sectional study from Karnataka, India
Shome, R., Natesan, K., Kalleshamurthy, T., Yadav, C., Sahay, S., Skariah, S., Mohandoss, N., Kumar, O. R. V., Shome, B. R., & Rahman, H. (2023) · Veterinary World · doi:10.14202/vetworld.2023.1122-1130 · Cited by 4
The burden of disability in children and youths associated with impairments of psychological functions
Baillargeon, R. H., & Bernier, J. (2010) · Psychiatry Research · doi:10.1016/j.psychres.2010.03.001 · Cited by 4
Assessing Disease Prevalence from Inaccurate Test Results
Taragin, M. I., Wildman, D., & Trout, R. (1994) · Medical Decision Making · doi:10.1177/0272989x9401400407 · Cited by 4
Bayesian estimation of variance partition coefficients adjusted for imperfect test sensitivity and specificity
Kostoulas, P., Leontides, L., Browne, W. J., & Gardner, I. A. (2009) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2009.02.008 · Cited by 4
High Occurrence of the Decapod Penstyldensovirus (PstDV1) Detected in Postlarvae of Penaeus vannamei Produced in Commercial Hatcheries of Mexico
Mendoza-Cano, F., Enríquez-Espinoza, T. L., Valenzuela-Castillo, A., Encinas-García, T., & Sánchez‐Paz, A. (2016) · EcoHealth · doi:10.1007/s10393-016-1143-7 · Cited by 4
SARS-CoV-2 seroprevalence in children, parents and school personnel from June 2020 to April 2021: cohort study of 55 schools in Switzerland
Ulytė, A., Haile, S. R., Blankenberger, J., Radtke, T., Puhan, M. A., & Kriemler, S. (2022) · Swiss Medical Weekly · doi:10.4414/smw.2022.w30193 · Cited by 4
Bayesian Mapping for Infectious Bronchitis Virus Risk in Backyard Chickens in Paraguay
Origlia, J. A., Suzuki, K., Castro, L., Faccioli, M., Silva, M., Caballero, J., Valiente, O. L., & Alvarez, F. (2009) · International Journal of Poultry Science · doi:10.3923/ijps.2009.740.745 · Cited by 4
Practical Applications of Decision Analysis
Nettleman, M. D. (1988) · Infection Control and Hospital Epidemiology · doi:10.1086/645838 · Cited by 4
Improved estimates of discordance ratios in twin studies
Franti, C. E., Wiggins, A. D., & Kraus, J. F. (1987) · Statistics in Medicine · doi:10.1002/sim.4780060810 · Cited by 4
Molecular and serological prevalence rates of Neospora caninum infection in dogs from Jordan
Mukbel, R., Okour, A., Abu-Halaweh, M. M., Hammad, H., & Abo‐Shehada, M. N. (2024) · Parasitology Research · doi:10.1007/s00436-024-08296-w · Cited by 3
Efficacy of different diagnostic tests for the detection of Mycobacterium bovis infection in wildlife: A comprehensive review
Yadav, J. P., Dhaka, P., & Singh, M. (2025) · The Microbe · doi:10.1016/j.microb.2025.100618 · Cited by 3
High Seroprevalence of Toxoplasma gondii and Neospora caninum Infections Among Goats in Mexico Is Associated with Climatic, Environmental, and Risk Factors
Villa-Mancera, A., Vargas-Tizatl, E., Robles-Robles, J. M., Utrera-Quintana, F., Olivares-Pérez, J., Olmedo‐Juárez, A., Córdova-Izquierdo, A., González-Gardúño, R., Ponce-Covarrubias, J. L., Rivero-Pérez, N., et al. (2025) · Pathogens · doi:10.3390/pathogens14111170 · Cited by 3
Impact of a community-based antiretroviral therapy delivery model for people living with HIV in Cambodia
Tian, Z., Chhoun, P., Tuot, S., Yam, E. L. Y., Hayashi, M., Zahari, M., Choub, S. C., Sameth, S., Ngauv, B., Ouk, V., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-66606-x · Cited by 3
Risk functions with outcome measurement error
Edwards, J. K., Cole, S. R., Zivich, P. N., Ackerman, B., Napravnik, S., Henderson, H. I., Lash, T. L., & Shook‐Sa, B. E. (2026) · Biostatistics · doi:10.1093/biostatistics/kxaf052 · Cited by 3
Assessment of seroprevalence and associated risk factors for anaplasmosis in North Carolina, USA, beef and dairy cattle
Okafor, C. C., Collins, S. L., Daniel, J. A., Coetzee, J. F., & Whitlock, B. K. (2023) · Applied Animal Science · doi:10.15232/aas.2023-02390 · Cited by 3
Epidemiology of bluetongue virus infection among goat populations in central and western Thailand: Prevalence, risk factors, and serotype analysis
Homat, T., Fujisawa, Y., Nakthong, C., Prompiram, P., Phonaknguen, R., Songkasupa, T., Satitvipawee, P., Chaichoun, K., Sutummaporn, K., Kornmatitsuk, S., et al. (2025) · Acta Tropica · doi:10.1016/j.actatropica.2025.107558 · Cited by 3
Improving the accuracy of Respiratory Syncytial Virus (RSV) incidence estimates among hospitalised adults in Bristol, UK
Lihou, K., Challen, R., Chatzilena, A., Qian, G., Oben, G., King, J., McGuinness, S., Morales‐Aza, B. M., Duale, K., Pereira, A. R., et al. (2025) · BMC Infectious Diseases · doi:10.1186/s12879-025-11292-9 · Cited by 3
A sero-survey of rinderpest in nomadic pastoral systems in central and southern Somalia from 2002 to 2003 using a spatially integrated random sampling approach
Tempia, S., Salman, Μ. D., Keefe, T. J., Morley, P. S., Freier, J. E., DeMartini, J. C., Wamwayi, H., Njeumi, F., Soumaré, B., & Abdi, A. (2010) · Scientific and Technical Review (World Organisation for Animal Health) · doi:10.20506/rst.29.3.1996 · Cited by 3
The prevalence estimates of Mycobacterium bovis infection in cattle with ELISA
BÜYÜK, F., Bozukluhan, K., Sağlam, A. G., Gökçe, G., ÇELEBİ, Ö., Çelik, E., KIZILTEPE, Ş., COŞKUN, M. R., Otlu, S., & ŞAHİN, M. (2018) · Journal of the Hellenic Veterinary Medical Society · doi:10.12681/jhvms.16050 · Cited by 3
A serosurvey of Mycobacterium avium subsp. paratuberculosis infection of goats in the North of Portugal
Quintas, H., González, O. M., Vila, A. G., Pérez, V. P., & Coelho, A. C. (2021) · Acta Veterinaria Hungarica · doi:10.1556/004.2021.00051 · Cited by 3
Taenia solium: Socioeconomic changes and prevalence evolution in four endemic communities in northwestern Mexico
Ramírez, C. V. H., Sánchez-García, D. C., Carpio-Pedroza, J. C., Alcántara‐Anguiano, I., Meza‐Lucas, A., Tapia‐Romero, R., & de‐la‐Rosa‐Arana, J. (2023) · Zoonoses and Public Health · doi:10.1111/zph.13034 · Cited by 3
Seroprevalence of Mycobacterium avium Complex in Wild Mammals in the Iberian Peninsula
Matos, A. C., Figueira, L., Matos, M., Pinto, M. D. L., & Coelho, A. C. (2018) · Journal of the Hellenic Veterinary Medical Society · doi:10.12681/jhvms.15861 · Cited by 3
Prevalence estimation when disease status is verified only among test positives: Applications in HIV screening programs
Thomas, E. G., Peskoe, S. B., & Spiegelman, D. L. (2017) · Statistics in Medicine · doi:10.1002/sim.7568 · Cited by 3
Prevalence of infection with Dirofilaria immitis in cats in Townsville, Australia
Adagra, C., Squires, R. A., Adagra, A., Elliman, J., & Constantinoiu, C. C. (2021) · Veterinary Parasitology Regional Studies and Reports · doi:10.1016/j.vprsr.2021.100580 · Cited by 3
Screening for Schistosoma spp. and Leishmania spp. DNA in Serum of Ghanaian Patients with Acquired Immunodeficiency
Weinreich, F., Weinreich, F., Hahn, A., Hagen, R. M., Rohde, H., Sarfo, F. S., Feldt, T., Dompreh, A., Asibey, S. O., Boateng, R., et al. (2022) · Pathogens · doi:10.3390/pathogens11070760 · Cited by 3
Profile likelihood confidence interval for the prevalence assessed by an imperfect diagnostic test
Hársfalvi, P., & Reiczigel, J. (2023) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2023.105886 · Cited by 3
Confidence intervals for prevalence estimates from complex surveys with imperfect assays
Bayer, D., Fay, M. P., & Graubard, B. I. (2023) · Statistics in Medicine · doi:10.1002/sim.9701 · Cited by 3
Analysis of fatality impact and seroprevalence surveys in a community sustaining a SARS-CoV-2 superspreading event
Richter, E., Liebl, D., Schulte, B., Lehmann, N., Fuhrmann, C., Jöckel, K., Ioannidis, J. P. A., & Streeck, H. (2023) · Scientific Reports · doi:10.1038/s41598-023-32441-7 · Cited by 5
Assessing the Burden of COVID-19 among Children Aged 6-14 Years in Karnataka, India: A Cross-sectional Survey
Rajagopal, P. M., Sil, S., Dinesh, P., Shiju, S., Arunkumar, D. P., Ramaiah, S. S., Hande, L., Mamatha, T., Kantinath, P. A., Pujari, L., et al. (2024) · Indian Journal of Community Medicine · doi:10.4103/ijcm.ijcm_60_23 · Cited by 3
Estimation of the prevalence at animal level of paratuberculosis in female cattle of Saxony-Anhalt (Germany)
Denzin, N., Gehrmann, B., Ewert, B., & Rohde, H. (2011) · Veterinary Science Development · doi:10.4081/vsd.2011.3504 · Cited by 3
Bulk tank milk somatic cell counts in dairy herds with different bovine viral diarrhoea virus status in Poland
Rola, J. G., Larska, M., Grzeszuk, M., Bocian, Ł., Kuta, A., Polak, M. P., & Rola, J. (2014) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2014.06.007 · Cited by 3
Detection of faecal Cryptosporidium parvum antigen in diarrheic Holstein dairy cows.
Badiei, K., Pourjafar, M., & Ghane, M. (2011) · PubMed · Cited by 3
Assessment of Distress, Disorder, Impairment, and Need in the Population
Eaton, W. W., Mojtabai, R., Stuart, E. A., Leoutsakos, J., & Kuramoto, S. J. (2012) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195390445.003.0004 · Cited by 3
Herd-level seroprevalence of pestivirus infection in goat population in Poland
Potărniche, A.-V., Czopowicz, M., Szaluś‐Jordanow, O., Moroz, A., Mickiewicz, M., Witkowski, L., Grabovskyi, S. S., Spînu, M., & Kaba, J. (2020) · Polish Journal of Veterinary Sciences · doi:10.24425/pjvs.2020.133637 · Cited by 3
Seroprevalence of paratuberculosis in cattle, sheep and goats in Burdur, Southwestern Turkey.
Çelik, A. K., & TÜRÜTOĞLU, H. (2017) · Israel journal of veterinary medicine · Cited by 3
Sociodemographic correlates of psychiatric diseases: accounting for misclassification in survey diagnoses of major depression, alcohol and drug use disorders
Savoca, E. (2004) · Health Services and Outcomes Research Methodology · doi:10.1007/s10742-006-6827-y · Cited by 3
An unbiased estimate for the mean of a {0,1} random variable with relative error distribution independent of the meanPreprint
Huber, M. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1309.5413 · Cited by 3
Epidemiological reflections on bovine viral diarrhoea virus control in Belgian cattle herds based on experimental infections and observational studies
Sarrazin, S. (2015) · Ghent University Academic Bibliography (Ghent University) · Cited by 3
Epidemiological studies on camel trypanosomosis (surra) and its control and economic impact in Somaliland
Salah, A. A. (2016) · Murdoch University Research Portal · Cited by 3
Epidemiologic Methods
Eaton, W. W. (1998) · Elsevier eBooks · doi:10.1016/b0080-4270(73)00211-x · Cited by 3
Statistical techniques to estimate the SARS-CoV-2 infection fatality ratePreprint
Mieskolainen, M., Bainbridge, R., Buchmueller, O. L., Lyons, L., & Wardle, N. (2020) · medRxiv · doi:10.1101/2020.11.19.20235036 · Cited by 3
Estimated Prevalence of Perinatal Depression in Low- and Middle-Income Countries Considering Uncertainty of Test Properties
Pacheco, J. P. G., Salum, G. A., & Hoffmann, M. S. (2023) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2023.2016 · Cited by 3
Systematic review and meta-analysis of child and adolescent mental health in South AfricaPreprint
Bantjes, J. R., Jenkins, D., Brooke‐Sumner, C., Marchionatti, L. E., Mpisane, N., Mosalisa, M., Chideya, Y., Pengelly, T. C., Stein, D. J., Seedat, S., et al. (2025) · medRxiv · doi:10.1101/2025.09.09.25335400 · Cited by 4
Potential for Bias in Prevalence Estimates when Not Accounting for Test Sensitivity and Specificity: A Systematic Review of COVID-19 Seroprevalence Studies
Haile, S. R., & Kronthaler, D. (2025) · International Journal of Public Health · doi:10.3389/ijph.2025.1608343 · Cited by 2
Zero Salmonella prevalence found in common starlings Sturnus vulgaris captured in Danish cattle sheds on farms infected with Salmonella enterica Dublin
Budde, M., Tvistholm, B. B., Heldbjerg, H., Rattenborg, E., & Fox, A. D. (2025) · Journal of Dairy Research · doi:10.1017/s0022029925101751 · Cited by 2
Machine learning methods to predict leprosy misdiagnosis in Yunnan Province, People's Republic of China
Guo, Y., Yin, L., Yang, H., Yang, X., Yu, X., Zhang, C., Zhou, L., Zhao, F., Lu, S., He, Q., et al. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1785606 · Cited by 2
Screening and diagnosis of liver disease in diabetes: a guide and evidence-based assessment
Qadri, S. U. (2026) · Diabetologia · doi:10.1007/s00125-026-06816-0 · Cited by 2
Sensitivity and specificity in prevalence studies: The importance of considering uncertainty
Izbicki, R., Diniz, M. A., & Bastos, L. S. (2020) · Clinics · doi:10.6061/clinics/2020/e2449 · Cited by 2
Flock level seroprevalence of and risk factors for parainfluenza type 3 virus in small ruminants in northern Jordan
Momani, W., & Abo‐Shehada, M. N. (2020) · Current Research in Microbiology and Infection · doi:10.31559/crmi2020.1.1.4 · Cited by 2
The prevalence of Francisella tularensis in horse herds in Turkey
Yeni, D. K., & AKÇA, D. (2022) · Mehmet Akif Ersoy Üniversitesi Veteriner Fakültesi Dergisi · doi:10.24880/maeuvfd.1095230 · Cited by 2
An Epidemiological Survey of Porcine Cysticercosis in Rungwe District, Tanzania
Sanga, T. A., Maganira, J. D., & Kidima, W. B. (2022) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2023.105866 · Cited by 2
Seroprevalence of Lawsonia intracellularis Antibodies among Large-scale Swine Farming Systems in Thailand
Nguyen, T. C., Maghfira, C. R., Young, N., Samatiwat, K., Kaewpaluk, C., Laothanakit, A., Mungprasittichai, P., Thanawongnuwech, R., & Panyasing, Y. (2024) · The Thai Journal of Veterinary Medicine · doi:10.56808/2985-1130.3530 · Cited by 2
Seroprevalence of Toxoplasma gondii and Associated Risk Factors in One-Humped Camels (Camelus dromedarius) in Qatar
Boughattas, S., Alhussain, H., Gawish, A., & Eltai, N. O. (2025) · Journal of Parasitology · doi:10.1645/24-32 · Cited by 2
Five Facts About Influence Functions
Cole, S. R., Breskin, A., Shook‐Sa, B. E., Zivich, P. N., Hudgens, M. G., & Edwards, J. K. (2025) · Epidemiology · doi:10.1097/ede.0000000000001858 · Cited by 2
Isolation, molecular characterization and phylogenetic analysis of Mycoplasma gallisepticum and Mycoplasma synoviae strains recovered from commercial broiler chicken flocks affected with respiratory tract infections
Yadav, J. P., Singh, Y., Batra, K., Kumar, R., Mahajan, N. K., & Jindal, N. (2025) · The Microbe · doi:10.1016/j.microb.2025.100485 · Cited by 2
Higher-order evidence
Cole, S. R., Shook‐Sa, B. E., Zivich, P. N., Edwards, J. K., Richardson, D. B., & Hudgens, M. G. (2024) · European Journal of Epidemiology · doi:10.1007/s10654-023-01062-9 · Cited by 2
First study to describe the prevalence and epidemiology of African swine fever, classical swine fever, porcine reproductive and respiratory syndrome and swine flu in Kazakhstan
Perfilyeva, Y. V., Maltseva, E. R., Ostapchuk, Y. O., Zhigailov, A. V., Nizkorodova, A. S., Cherusheva, A. S., Naizabayeva, D. A., Berdygulova, Z. A., Bissenbay, A. O., Kuznetsova, T. V., et al. (2025) · BMC Veterinary Research · doi:10.1186/s12917-025-04784-y · Cited by 2
Beyond the clouds: advanced data analysis of a dutch sky quality meter network
Shah, F. R., Peletier, R. F., Noel-Storr, J., van der Geest, D., Jurriens, T. A., Hänel, A., Hoffmann, T., Cordes, L., Will, R., Rietze, A. S., et al. (2025) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/staf1200 · Cited by 2
An optimal cut-off point for the calving interval may be used as an indicator of bovine abortions
Bronner, A., Morignat, E., Gay, E., & Calavas, D. (2015) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2015.08.013 · Cited by 2
Synthesis framework estimating prevalence of MCADD and sensitivity of newborn screening programme in the absence of direct evidence
Leal, J., Wordsworth, S., Oerton, J., Khalid, J. M., & Dezateux, C. A. (2014) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2014.05.011 · Cited by 2
Use of Screening Tests to Assess Cancer Risk and to Estimate the Risk of Adult T-Cell Leukemia/Lymphoma
Yanagawa, T., & Tokudome, S. (1990) · Environmental Health Perspectives · doi:10.1289/ehp.908777 · Cited by 2
Epidemiological studies to inform control strategies for paratuberculosis in farmed deer
Stringer, L. A. (2010) · Cited by 2
Serosurvey for Influenza Virus Subtypes H3N8 and H3N2 Antibodies in Free-Ranging Canids in Pennsylvania, USA
DiGeronimo, P. M., Why, K. V., Glass, H., Dubovi, E. J., & Latney, L. V. (2018) · Journal of Wildlife Diseases · doi:10.7589/2018-03-078 · Cited by 2
Seroprevalance of Chlamydophila abortus infection in goats in Burdur province
Mehmet, K. A. Y. A., & Öztürk, D. (2020) · Mehmet Akif Ersoy Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi · doi:10.24998/maeusabed.688264 · Cited by 2
From apparent to true – from frequency to distributions (I)
Hackenberger, B. K. (2020) · Croatian Medical Journal · doi:10.3325/cmj.2020.61.289 · Cited by 2
Optimizing prevalence estimates for a novel pathogen by reducing uncertainty in test characteristics
Larremore, D. B., Fosdick, B. K., Zhang, S., & Grad, Y. H. (2022) · Epidemics · doi:10.1016/j.epidem.2022.100634 · Cited by 2
Characterising Eastern Grey Kangaroos (Macropus giganteus) as Hosts of Coxiella burnetii
Tolpinrud, A., Dobson, E., Herbert, C. A., Gray, R. B., Stenos, J., Chaber, A., Devlin, J. M., & Stevenson, M. A. (2024) · Microorganisms · doi:10.3390/microorganisms12071477 · Cited by 2
Bayesian assessment of two competitive enzyme-linked immunosorbent assays for the detection of bovine viral diarrhoea virus antibodies in bovine sera
Saegerman, C., Czaplicki, G., POZZO, F. D., & Quinet, C. (2018) · Scientific and Technical Review (World Organisation for Animal Health) · doi:10.20506/37.3.2893 · Cited by 2
Accuracy of Self-Reported Arterial Hypertension in Brazil: Systematic Review and Meta-Analysis
Moreira, J. P. D. L., de Almeida, R. M. V. R., & Luiz, R. R. (2021) · International Journal of Cardiovascular Sciences · doi:10.36660/ijcs.20200240 · Cited by 2
Variation in SARS-CoV-2 seroprevalence in children in the region of Asturias, Northern Spain
García-García, E., Rodríguez-Pérez, M., Solís, D. P., Pérez-Méndez, C., Norniella, C. M., Cobo-Ruisánchez, Á., Fernández, E. M. F., González, N. G., & Calle-Miguel, L. (2022) · World Journal of Pediatrics · doi:10.1007/s12519-022-00617-2 · Cited by 2
Verification Bias: A Pitfall In Evaluating Screening Tests
Donald, A. W. (1996) · Nursing Research · doi:10.1097/00006199-199611000-00009 · Cited by 2
Epidemiology of peste-des-petits-ruminants virus in sheep goats and camels in Nigeria
Woma, T. Y. (2016) · UpSpace Institutional Repository (University of Pretoria) · Cited by 2
Diagnostische testen: validatie, interpretatie en de gevolgen op de besluitvorming
Verloo, D., Maes, D., Mintiens, K., Laevens, H., & Boelaert, F. (2005) · Vlaams Diergeneeskundig Tijdschrift · doi:10.21825/vdt.89059 · Cited by 2

Authors: ROGAN, W. J., & GLADEN, B.
Affiliations: National Institute of Environmental Health Sciences (US)
Corresponding author: ROGAN, WALTER J.
ORCID: ROGAN, WALTER J.
Venue: American Journal of Epidemiology
Publisher: Oxford University Press (OUP)
Published: 1978-01
Volume: 107
Issue: 1
Pages: 71-76
ISSN: 0002-9262 (ISSN-L)
1476-6256
DOI: 10.1093/oxfordjournals.aje.a112510
OpenAlex: W2271596670
Cited by: 1,001
References: 0
Citations by year: 2026: 73 · 2025: 45 · 2024: 53 · 2023: 52 · 2022: 72 · 2021: 95 · 2020: 59 · 2019: 43 · 2018: 50 · 2017: 33 · 2016: 27 · 2015: 33 · 2014: 30 · 2013: 28 · 2012: 35
FWCI: 4.41
Type: journal article
Language: en
Open access: closed
Locations: American Journal of Epidemiology (publishedVersion)
PubMed (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Keywords: screening test, disease prevalence estimation, diagnostic accuracy, positive predictive value, false positive rate
MeSH terms: Epidemiologic Methods, Female, Humans, Mass Screening, Morbidity, Population Surveillance

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

ESTIMATING PREVALENCE FROM THE RESULTS OF A SCREENING TEST

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