Cited by 1,864Statistical Methods and ApplicationsStatistical Methods in EpidemiologyStatistical Methods and Bayesian Inference

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Assessing proportionality in the proportional odds model for ordinal logistic regression.

Brant, Rollin·1990·Biometrics

DOI 10.2307/2532457

Open this paper in CoChat — free account

Abstract

The proportional odds model for ordinal logistic regression provides a useful extension of the binary logistic model to situations where the response variable takes on values in a set of ordered categories. The model may be represented by a series of logistic regressions for dependent binary variables, with common regression parameters reflecting the proportional odds assumption. Key to the valid application of the model is the assessment of the proportionality assumption. An approach is described arising from comparisons of the separate (correlated) fits to the binary logistic models underlying the overall model. Based on asymptotic distributional results, formal goodness-of-fit measures are constructed to supplement informal comparisons of the different fits. A number of proposals, including application of bootstrap simulation, are discussed and illustrated with a data example.

Integrity signals

Registry

Crossref · 10.2307/2532457

Cites

5 of 5 references verified0 citation errors · 0 not checkable

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?

A REVIEW OF GOODNESS OF FIT STATISTICS FOR USE IN THE DEVELOPMENT OF LOGISTIC REGRESSION MODELS1
LEMESHOW, S., & HOSMER, D. W. (1982) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a113284 · Cited by 1,947
Regression and ordered categorical variables
Anderson, J. A. (1984) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1984.tb01270.x · Cited by 574
ORDINAL REGRESSION MODELS FOR EPIDEMIOLOGIC DATA
Armstrong, B., & SLOAN, M. (1989) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115109 · Cited by 323
A note on a goodness-of-fit test for the logistic regression model
Tsiatis, A. A. (1980) · Biometrika · doi:10.1093/biomet/67.1.250 · Cited by 171
A comparison of regression models for ordinal data in an analysis of transplanted‐kidney function
Greenwood, C., & Farewell, V. T. (1988) · Canadian Journal of Statistics · doi:10.2307/3314931 · Cited by 26

Flagged first, then by citations

Show all 5 references

Sorted by citations

Items 801–900 of 1,001

Social functioning and subclinical psychosis in adolescence: a longitudinal general adolescent population study
Heins, M., Achterhof, R., Collip, D., Viechtbauer, W., Kirtley, O. J., Günther, N., van Os, J., FERON, F. J. M., & Myin‐Germeys, I. (2019) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13069 · Cited by 10
Caregiver perceptions of child development in rural Madagascar: a cross-sectional study
Chung, E. O., Fernald, L. C. H., Galasso, E., Ratsifandrihamanana, L., & Weber, A. M. (2019) · BMC Public Health · doi:10.1186/s12889-019-7578-3 · Cited by 10
Happiness and Victimization in Latin America
Londoño, C. O., Mesa, D. G., Cardona‐Sosa, L., & Toro, C. G. (2018) · Journal of Happiness Studies · doi:10.1007/s10902-018-9981-3 · Cited by 10
Predictors of health workers’ knowledge about artesunate-based severe malaria treatment recommendations in government and faith-based hospitals in Kenya
Machini, B., Zurovac, D., Amboko, B., Malla, L., Snow, R. W., Kipruto, H., & Achia, T. (2020) · Malaria Journal · doi:10.1186/s12936-020-03341-2 · Cited by 10
Fears of cyberterrorism, terrorism, and terrorist attacks: an empirical comparison
Onat, I., Bastug, M. F., Güler, A., & Kula, S. (2022) · Behavioral Sciences of Terrorism and Political Aggression · doi:10.1080/19434472.2022.2046625 · Cited by 10
Predicting Student Satisfaction with an Emphasis on Campus Recreational Sports and Cultural Facilities in a Turkish University
Çeli̇k, A. K., & ÖZCAN, K. A. (2015) · International Education Studies · doi:10.5539/ies.v8n4p7 · Cited by 10
Undernutritional Status of Children in Ethiopia: Application of Partial Proportional Odds Model
Adelo, B., & Temesgen, S. (2015) · Turkiye Klinikleri Journal of Biostatistics · doi:10.5336/biostatic.2015-47184 · Cited by 10
The Relation of Physical Activity and Self-Rated Health in Older Age - Cross Country Analysis Results from SHARE
Faß, E., & Schlesinger, T. (2019) · Journal of Population Ageing · doi:10.1007/s12062-019-09242-w · Cited by 10
Predicting Habitat Properties Using Remote Sensing Data: Soil pH and Moisture, and Ground Vegetation Cover
Haugen, H., Devineau, O., Heggenes, J., Østbye, K., & Linløkken, A. (2022) · Remote Sensing · doi:10.3390/rs14205207 · Cited by 9
Association between military service and Alzheimer's disease neuropathology at autopsy
Powell, W. R., Vilen, L. H., Zuelsdorff, M. L., Goutman, S. A., Salamat, S. M., Rissman, R. A., Bendlin, B. B., & Kind, A. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13520 · Cited by 9
The Role of Consumers’ Knowledge of Native and Pollinator-friendly Plants and Their Prioritization of Plant Characteristics in Purchase Decisions
Wei, X., Knuth, M. J., & Khachatryan, H. (2024) · HortScience · doi:10.21273/hortsci17637-23 · Cited by 9
Association between oral frailty and nutritional status among hemodialysis patients aged ≥50 years
Iwasaki, M., Ohta, Y., Furusho, N., Kakuta, S., Muraoka, K., Ansai, T., Awano, S., Fukuhara, M., & Nakamura, H. (2024) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.14947 · Cited by 9
Exploring vehicle preference dynamics: Analyzing the influence of oil price volatility on consumer car purchase decisions - A comparative survey experiment
Du, Z., Zhang, G., & Lin, B. (2024) · Energy · doi:10.1016/j.energy.2024.133616 · Cited by 9
Modeling rater judgments of interpreting quality: Ordinal logistic regression using neural-based evaluation metrics, acoustic fluency measures, and computational linguistic indices
Han, C., Lu, X., & Chen, S. (2025) · Research Methods in Applied Linguistics · doi:10.1016/j.rmal.2025.100194 · Cited by 9
Green space visitation: A capacity builder for self-perceived health and subjective wellbeing among urban citizens
Nordbø, E. C. A., & Nordh, H. (2025) · Urban forestry & urban greening · doi:10.1016/j.ufug.2025.128777 · Cited by 13
“Get Me in the Groove”: a Mixed Methods Study on Supporting Adhd Professional Programmers
Newman, K., Snay, S., Endres, M., Parikh, M., & Begel, A. (2025) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1109/icse55347.2025.00242 · Cited by 13
Spatiotemporal evolution of global maritime accidents: Integrating hot spot detection and severity modeling for system safety
Wan, C., Shao, L., Fan, L., Cao, D., & Zhang, J. (2025) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2025.111687 · Cited by 9
Citizens’ Perceptions of Local Government Services and Their Trust in Local Authorities: Implications for Local Government in Mauritius
Naraidoo, S., & Sobhee, S. K. (2021) · Margin The Journal of Applied Economic Research · doi:10.1177/09738010211010515 · Cited by 9
Car-Free Day on a University Campus: Determinants of Participation and Potential Impacts on Sustainable Travel Behavior
Pedreira, J. U., da Silva, A. N. R., & Pitombo, C. S. (2022) · Sustainability · doi:10.3390/su14063427 · Cited by 9
The outcomes of Thirsty? Choose Water! Determining the effects of a behavioural and an environmental intervention on water and sugar sweetened beverage consumption in adolescents: A randomised controlled trial
Gowland‐Ella, J., Batchelor, S., David, M., Lewis, P., & Kajons, N. (2022) · Health Promotion Journal of Australia · doi:10.1002/hpja.623 · Cited by 9
Inseguridad alimentaria en México: análisis de dos escalas en 2020
Moreno, E. F., Keymolen, D. L., & Linares, S. C. G. R. (2023) · Estudios Sociales Revista de Alimentación Contemporánea y Desarrollo Regional · doi:10.24836/es.v33i61.1282 · Cited by 9
Political ideologies and moral foundations of engineering professionals in the United States
Kim, D., & Jesiek, B. K. (2023) · Technology in Society · doi:10.1016/j.techsoc.2023.102379 · Cited by 9
Relevance of ecosystem services and disservices from green infrastructure perceived by the inhabitants of two Portuguese cities dealing with climate change: implications for environmental and intersectional justice
Barreira, A. P., Andraz, J. M., Ferreira, V., & Panagopoulos, Τ. (2023) · Journal of Environmental Planning and Management · doi:10.1080/09640568.2023.2286927 · Cited by 9
Well-Being as a predictor of academic success in student veterans and factor validation of the PERMA + 4 well-being measurement scale
Weiss, E. L., Donaldson, S. I., & Reece, A. (2024) · Journal of American College Health · doi:10.1080/07448481.2023.2299417 · Cited by 10
Quantifying public support for culling crown‐of‐thorns starfish ( Acanthaster spp.) on the Great Barrier Reef
Lockie, S., Bartelet, H. A., Ritchie, B. W., Sie, L. S., & Paxton, G. (2024) · Conservation Science and Practice · doi:10.1111/csp2.13252 · Cited by 10
History of ordinal variables before 1980
Chimka, J. R., & Wolfe, H. E. (2009) · Scientific Research and Essays · doi:10.5897/sre.9000552 · Cited by 9
“The Police Have Given Up”: An Empirical Examination of Covictims’ Beliefs About Cold Case Homicide Investigations
Stretesky, P. B., Cope, K., Shelley, T. O., Hogan, M. J., & Unnithan, N. P. (2016) · Violence and Victims · doi:10.1891/0886-6708.vv-d-14-00017 · Cited by 9
Assessing Postgraduate Students’ Satisfaction with Quality of Services at a Turkish University Using Alternate Ordered Response Models
Çeli̇k, A. K., Oktay, E., Özen, Ü., Karaaslan, A., & Yarbaşı, İ. Y. (2017) · Periodica Polytechnica Social and Management Sciences · doi:10.3311/ppso.9611 · Cited by 9
A longitudinal birth cohort study of early life conditions, psychosocial factors, and emerging adolescent sexual orientation
Xu, Y., Norton, S., & Rahman, Q. (2019) · Developmental Psychobiology · doi:10.1002/dev.21894 · Cited by 9
A New Approach to Farm Biodiversity Assessment
Świtek, S., Sawinska, Z., & Głowicka-Wołoszyn, R. (2019) · Agronomy · doi:10.3390/agronomy9090551 · Cited by 9
The first quarter of the C-terminal domain of Abelson regulates the WAVE regulatory complex and Enabled in axon guidance
Cheong, H. S., Nona, M., Guerra, S. B., & VanBerkum, M. F. A. (2020) · Neural Development · doi:10.1186/s13064-020-00144-8 · Cited by 9
Drivers of Change in National Disaster Governance under the Hyogo Framework for Action
Wanner, M. S. T. (2020) · Politics and Governance · doi:10.17645/pag.v8i4.3062 · Cited by 9
Finansal Başarısızlık ve İflası Etkileyen Faktörlerin Genelleştirilmiş Sıralı Logit Modeli ile Analizi
Van, M. G., Şehrïbanoğlu, S., & Muhammed Hanifi, V. A. N. (2021) · International Journal of Management Economics and Business · doi:10.17130/ijmeb.803957 · Cited by 9
The effect of the lone parent household on cardiovascular health (National Health and Nutrition Examination Survey, 2015–2016)
Stokes, N., Herbert, B. M., Johnson, A. E., & Magnani, J. W. (2021) · American Heart Journal Plus Cardiology Research and Practice · doi:10.1016/j.ahjo.2021.100015 · Cited by 9
Women’s Empowerment and Its Determinants in Bangladesh: Evidence from a National Survey
Sen, K. K., & Nilima, S. (2018) · Dhaka University Journal of Science · doi:10.3329/dujs.v66i2.54557 · Cited by 9
Cultural and demographic energy system awareness and preference: Implications for future energy system design in the United States
Chapman, A. J., Shigetomi, Y., Karmaker, S. C., Saha, B. B., & Brooks, C. S. (2022) · Energy Economics · doi:10.1016/j.eneco.2022.106141 · Cited by 9
Influential Factors of Household Car and Vehicle Ownership in Urban Areas of Turkey
Çeli̇k, A. K., Kabakuş, N., & Tortum, A. (2023) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981221145138 · Cited by 9
Telework and MaaS adoption in a post-pandemic scenario. Evidence from municipal employees of Padua, Italy
Baldassa, A., Orsini, F., & Ceccato, R. (2023) · Case Studies on Transport Policy · doi:10.1016/j.cstp.2023.101010 · Cited by 9
Factors Associated with Recreational Gambling Frequency among Older Adults
Hirshorn, B. A., Young, C. A., & Bernhard, B. J. (2007) · International Gambling Studies · doi:10.1080/14459790701601513 · Cited by 9
Predictors of Beagley–Gibson skin cast grade in older adults
Thompson, M. J., Aitken, D. A., van der Mei, I. A. F., Otáhal, P., Cicolini, J., Winzenberg, T. M., & Jones, G. (2016) · Skin Research and Technology · doi:10.1111/srt.12328 · Cited by 9
Association of patient demographic characteristics with dermatofibrosarcoma protuberans tumour size at diagnosis in the U.S. National Cancer Database
Trofymenko, O., & Zeitouni, N. C. (2017) · British Journal of Dermatology · doi:10.1111/bjd.15357 · Cited by 9
Health condition and risk attitude in the Dutch population: an exploratory approach
Martín‐Fernández, J., Medina-Palomino, H., Ariza-Cardiel, G., Polentinos-Castro, E., & Rutkowski, A. F. (2018) · Health Risk & Society · doi:10.1080/13698575.2018.1458976 · Cited by 9
Predicting Alcohol Misuse Among Australian 19-Year-Olds from Adolescent Drinking Trajectories
Plenty, S. M., Evans-Whipp, T. J., Chan, G., Kelly, A. B., Toumbourou, J. W., Patton, G. C., Hemphill, S. A., & Smith, R. (2018) · Substance Use & Misuse · doi:10.1080/10826084.2018.1517172 · Cited by 9
Morality of informality: Tax morale in the Serbian business sector: An empirical investigation
Radulovic, B. L. (2019) · Industrija · doi:10.5937/industrija47-20040 · Cited by 9
The Collective Interests of Large Corporations: Social Movement Protest and the Policy-Planning Network
Banerjee, T. (2020) · Sociological Quarterly · doi:10.1080/00380253.2019.1711250 · Cited by 9
Factors influencing preparedness self-efficacy among Hispanics and Latinos in the United States
Rivera, J. D. (2022) · Disaster Prevention and Management An International Journal · doi:10.1108/dpm-11-2021-0299 · Cited by 9
Poverty permanence among European youth
Mendola, D., Busetta, A., & Aassve, A. (2008) · Archivio istituzionale della Ricerca - Bocconi · Cited by 9
The Health Effects of Medicare for the Near-Elderly Uninsured
Polsky, D. E., Doshi, J. A., Escarce, J. J., Manning, W. G., Paddock, S. M., Cen, L., & Rogowski, J. (2006) · National Bureau of Economic Research · doi:10.3386/w12511 · Cited by 9
An Ordinal Regression Model Using Dealer Satisfaction DataPreprint
Staus, A. (2007) · SSRN Electronic Journal · doi:10.2139/ssrn.1007217 · Cited by 9
Discrimination in Education : Methodology, Theory, and Empirics of Teachers' Stereotypes, Prejudice, and Discriminatory Behavior
Wenz, S. E. (2020) · doi:10.20378/irb-47754 · Cited by 14
Association of Perceived Thermal Comfort and Air Quality with Building- and Occupant-Related Characteristics and Environmental Parameters in Sweden
Psomas, T., Teli, D., Donovan, A., Kolias, P., & Langer, S. (2024) · Energies · doi:10.3390/en17061471 · Cited by 8
Subjective social status and trajectories of frailty: findings from the English Longitudinal Study of Ageing
Maharani, A., Richards, L., & Präg, P. (2024) · BMJ Public Health · doi:10.1136/bmjph-2023-000629 · Cited by 8
User Attitudes to Content Moderation in Web Search
Urman, A., Hannák, A., & Makhortykh, M. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637423 · Cited by 8
Performance of a Digital Cognitive Assessment in Predicting Dementia Stages Delineated by the Dementia Severity Rating Scale: Retrospective Study
Huynh, D., Sun, K. H., Patterson, M., Ghomi, R. H., & Huang, B. (2024) · JMIR Aging · doi:10.2196/65292 · Cited by 8
Material and social deprivation among one-person households: the role of gender
Fabrizi, E., Mussida, C., & Parisi, M. L. (2025) · Journal of Population Economics · doi:10.1007/s00148-025-01084-5 · Cited by 8
Regressive models for risk prediction of repeated multinomial outcomes: An illustration using Health and Retirement Study data
Chowdhury, R. I., & Islam, M. A. (2020) · Biometrical Journal · doi:10.1002/bimj.201800101 · Cited by 8
Joint Model of Transit Usage Frequency and In-Vehicle Safety Perception During the COVID-19 Pandemic
Mashrur, S. M., Lavoie, B., Wang, K., Loa, P., & Habib, K. N. (2022) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981221100241 · Cited by 8
Factors affecting farmers’ safety behavior in the use of chemical pesticides: the role of technical efficiency
Naghavi, S., Ahmadyousefi, M., Damalas, C. A., & Mohammadi, M. (2022) · International Journal of Pest Management · doi:10.1080/09670874.2022.2094492 · Cited by 8
Frequency and correlates of suicidal ideation and behaviors in treatment-seeking Post-9/11 Veterans
Rauch, S. A. M., Steimle, L. N., Li, J., Black, K., Nylocks, K. M., Patton, S. C., Wise, A., Watkins, L. E., Stojek, M. M., Maples‐Keller, J. L., et al. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.09.010 · Cited by 8
Metabolic disorders and post-acute hospitalization in black/mixed-race patients with long COVID in Brazil: A cross-sectional analysis
Barreto, A. P., Filho, M. A. B., Duarte, L. C., Silva, T. C., Camelier, A. A., Tavares, N. M., Barral‐Netto, M., Boaventura, V. S., Lima, M. C. C., & on behalf of the CPC study group (2022) · PLoS ONE · doi:10.1371/journal.pone.0276771 · Cited by 8
Autism in Preschool-Aged Children: The Effects of COVID-19 Lockdown
Termine, C., Galli, V., Dui, L. G., Berlusconi, V., Lipari, R., Lunardini, F., & Ferrante, S. (2023) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-023-06078-4 · Cited by 8
THE INFLUENCE OF INFORMATION ON RESIDENTS’ GREEN HOUSING PURCHASING BEHAVIOR: DIFFERENT INFORMATION CONTENTS AND PROVIDERS
He, C., Liu, X., Bi, J., Wang, X. H., & Li, J. (2023) · Journal of Civil Engineering and Management · doi:10.3846/jcem.2023.19518 · Cited by 8
Assessing the relationship between gun ownership and fear of mass shootings
Gerdes, M. B. (2023) · Social Science & Medicine · doi:10.1016/j.socscimed.2023.116288 · Cited by 8
Consequences of arbitrary binning the midpoint category in survey data: an illustration with student satisfaction in the National Student Survey
Pollet, T. V., Bilalić, M., & Shepherd, L. (2023) · Studies in Higher Education · doi:10.1080/03075079.2023.2284808 · Cited by 8
Differentiating less-prepared from more-prepared college readers
Feller, D. P., Sabatini, J., & Magliano, J. P. (2024) · Discourse Processes · doi:10.1080/0163853x.2024.2319515 · Cited by 8
Impact of neighborhood context on self-rated health among very old adults living in Germany: a cross-sectional representative study
Zimmermann, J. (2024) · BMC Geriatrics · doi:10.1186/s12877-024-05175-y · Cited by 8
XRgo: Design and Evaluation of Rendering Offload for Low-Power Extended Reality Devices
Gao, S., Liu, J., Jiang, Q., Sinclair, F., Sentosa, W., Godfrey, P. B., & Adve, S. V. (2025) · ACM Multimedia Systems Conference (MMSys) · doi:10.1145/3712676.3714444 · Cited by 8
Delivery terms in international trade: some evidence for Spain
del Rosal, I. (2012) · Applied Economics Letters · doi:10.1080/13504851.2012.725924 · Cited by 8
Determinants of Risk Tolerance
Weber, C. S. (2014) · International Journal of Economics Finance and Management Sciences · doi:10.11648/j.ijefm.20140202.15 · Cited by 8
Household Expectations for Future Economy and Risk-Taking Attitudes
Huang, T., Xu, X. Y., & Chiang, T. (2016) · Journal of Financial Counseling and Planning · doi:10.1891/1052-3073.27.1.109 · Cited by 8
Binary Response Models with Underlying Heterogeneity: Identification and Interpretation of Effects
Tutz, G. (2018) · European Sociological Review · doi:10.1093/esr/jcy001 · Cited by 8
Statistical analysis plan for the POLAR-RCT: The Prophylactic hypOthermia trial to Lessen trAumatic bRain injury-Randomised Controlled Trial
Presneill, J., Gantner, D. C., Nichol, A., McArthur, C. J., Forbes, A. B., Kasza, J., Trapani, T. V., Murray, L., Bernard, S. A., Cameron, P. A., et al. (2018) · Trials · doi:10.1186/s13063-018-2610-y · Cited by 8
Burnout Levels of Academic Staff: An Investigation at a Public University in Turkey
Özgül, N., & Polat, E. (2018) · Sakarya University Journal of Science · doi:10.16984/saufenbilder.392656 · Cited by 8
What makes a great clinical team? Stakeholder perspectives on the attributes of effective veterinary health care teams in Australia
Clarke, P. M., Henning, J., King, E., Coleman, G. T., & Schull, D. N. (2019) · Australian Veterinary Journal · doi:10.1111/avj.12855 · Cited by 8
Predicting COVID‐19 trends in Canada: a tale of four models
Zhang, W., Zhao, W. G. W., Wu, D., & Yang, Y. (2020) · Cognitive Computation and Systems · doi:10.1049/ccs.2020.0017 · Cited by 8
The Ideological Homogenization of the FASB
Chakravarthy, J. (2014) · Chapman University Digital Commons (Chapman University) · Cited by 8
Do Different Factors Explain Low- versus High-Rate Adolescent Weapon Carrying?
Li, C. K. W., Almanza, M., Abad, D., & Melde, C. (2020) · Victims & Offenders · doi:10.1080/15564886.2020.1799467 · Cited by 8
In the black: Information harmonisation and educational potential amongst international databases for invasive alien species designated as of Union Concern
Coughlan, N. E., Lyne, L., Cuthbert, R. N., Cunningham, E. M., Lucy, F., Davis, E., Caffrey, J. M., & Dick, J. T. A. (2020) · Global Ecology and Conservation · doi:10.1016/j.gecco.2020.e01332 · Cited by 8
Statistical Opportunities to Accelerate Development for COVID-19 Therapeutics
Natanegara, F., Zariffa, N. M.-D., Buenconsejo, J., Liao, R., Cooner, F., Lakshminarayanan, D., Ghosh, S., Schindler, J. S., & Gamalo, M. (2020) · Statistics in Biopharmaceutical Research · doi:10.1080/19466315.2020.1865195 · Cited by 8
Hierarchical Denoising of Ordinal Time Series of Clinical Scores
Koss, J., Tinaz, S., & Tagare, H. D. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3163126 · Cited by 8
Who is asking? The effect of survey sponsor misperception on political trust: evidence from the Afrobarometer
Isani, M. A., & Schlipphak, B. (2022) · Quality & Quantity · doi:10.1007/s11135-022-01517-3 · Cited by 8
Salespeople’s performance and digital technologies in real estate: Evidence from the Portuguese retail real estate sector
Silva, P., Santos, J. F., & Moutinho, V. F. (2022) · Journal of General Management · doi:10.1177/03063070221117265 · Cited by 8
Investigating the Factors Influencing the Intention to Adopt Long-Term Land Leasing in Northern Ireland
Adenuga, A. H., Jack, C., & McCarry, R. (2023) · Land · doi:10.3390/land12030649 · Cited by 8
The influence of income and loss on hunters' attitudes towards wild pigs and their management
Leivers, S. J., Carlisle, K. M., Connally, R. L., Frank, M. G., & Tomeček, J. M. (2023) · Wildlife Society Bulletin · doi:10.1002/wsb.1439 · Cited by 8
Guardianship Planning Among HIV-Infected Parents in the United States: Results From a Nationally Representative Sample
Cowgill, B. O., Beckett, M. K., Corona, R., Elliott, M. N., Parra, M. T., Zhou, A. J., & Schuster, M. A. (2007) · PEDIATRICS · doi:10.1542/peds.2006-1459 · Cited by 8
Linking Party Platforms to Perceptions of Presidential Candidates’ Policy Positions, 1972–2000
Simas, E. N., & Evans, K. A. (2010) · Political Research Quarterly · doi:10.1177/1065912910379226 · Cited by 8
Using the Stage-Based Approaches to Predict Breast Self-Examination Among Rural Vietnamese Women
Kim, E., Lee, H., Kim, J.-G., Ho, T. V., Nguyen, H. T. T., Tran, M. T. N., & Son, N. T. (2019) · Asia Pacific Journal of Public Health · doi:10.1177/1010539519849326 · Cited by 8
Occupational attainment and stratification in China: The interactive effects of social networks and the hukou system
Li, Z., Lin, J., & Liu, L. (2020) · Review of Development Economics · doi:10.1111/rode.12673 · Cited by 8
Assessing the Predictive Nature of Teacher and Student Writing Self-Regulation Discrepancy
Broda, M., Ekholm, E., & Zumbrunn, S. K. (2020) · Frontline Learning Research · doi:10.14786/flr.v8i4.505 · Cited by 10
Novel Application and Validation of a Method to Assess Visual Impacts of Rotating Wind Turbine Blades Within Woodland Areas
Nopp‐Mayr, U., Kunz, F., Suppan, F., Schöll, E. M., & Coppes, J. (2021) · PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science · doi:10.1007/s41064-021-00141-4 · Cited by 8
Psychological Adaptation among Marriage Migrant Women in South Korea: Stress and Coping, Culture Learning, and Social Cognition Approaches
Kim, W.-J., & Yu, S. (2021) · American Journal of Family Therapy · doi:10.1080/01926187.2021.1934752 · Cited by 8
Teachers’ Learning Activities in the Workplace: How Does Teacher Education Matter?
Caspersen, J. (2015) · Creative Education · doi:10.4236/ce.2015.61004 · Cited by 12
Party System Institutionalization and the Level of Democracy
Robbins, J. W., & Thames, F. C. (2007) · Cited by 8
Workplace smoking restrictions: smoking behavior and the intention to change among continuing smokers
Rüge, J., Broda, A., Ulbricht, S., Klein, G., Rumpf, H., John, U., & Meyer, C. (2009) · International Journal of Public Health · doi:10.1007/s00038-009-0111-1 · Cited by 8
Socialist Heritage and the Opinion on Entrepreneurs: Micro-Level Evidence from EuropePreprint
Adam‐Müller, A. F. A., Andres, R., Block, J., & Fisch, C. O. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2447652 · Cited by 8
Digital Governance in Developing Countries: Beneficiary Experience and Perceptions of System Reform in Rajasthan, IndiaPreprint
Gelb, A. H., Mukherjee, A., & Navis, K. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3310458 · Cited by 8
Corticosteroid prophylaxis in patients at increased risk of adverse reactions to intravascular contrast agents
Doré, C. J., Sidhu, P. S., & Dawson, P. (1995) · Clinical Radiology · doi:10.1016/s0009-9260(05)83060-0 · Cited by 8
The influence of social norms on expressing sympathy in social media
Graf‐Drasch, V., Gimpel, H., Bonenberger, L., & Blaß, M. (2023) · Journal of Information Technology · doi:10.1177/02683962231171401 · Cited by 7
Interactive effect of adverse child experiences and suicidal thoughts and behaviors on adolescent alcohol and cannabis use frequency.
Kelly, L. M., Meeker, E. C., Zajac, K., Bryan, R., & O’Connor, B. C. (2023) · Psychology of Addictive Behaviors · doi:10.1037/adb0000947 · Cited by 7
Characterizing high-cost healthcare users among adults with back pain in Ontario, Canada: a population-based cohort study
Wong, J. J., Côté, P., Tricco, A. C., Watson, T., & Rosella, L. C. (2024) · Pain · doi:10.1097/j.pain.0000000000003200 · Cited by 7

Authors: Brant, R.
Affiliations: University of Calgary (CA)
Corresponding author: Brant, Rollin
ORCID: Brant, Rollin
Venue: Biometrics
Publisher: JSTOR
Published: 1990-12
Volume: 46
Issue: 4
Pages: 1171
ISSN: 0006-341X (ISSN-L)
DOI: 10.2307/2532457
OpenAlex: W2016013569
Cited by: 1,864
References: 5
Citations by year: 2026: 213 · 2025: 135 · 2024: 135 · 2023: 161 · 2022: 168 · 2021: 145 · 2020: 141 · 2019: 99 · 2018: 76 · 2017: 69 · 2016: 68 · 2015: 57 · 2014: 64 · 2013: 51 · 2012: 45
FWCI: 0.94
Type: journal article
Language: en
Open access: closed
Locations: Biometrics (publishedVersion)
PubMed (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords: proportional odds model, ordinal logistic regression, proportional odds assumption, goodness-of-fit tests, binary logistic regression, asymptotic distribution, bootstrap simulation, correlated binary responses
MeSH terms: Biometry, Humans, Regression Analysis, Tissue Donors, Models, Statistical, Liver Transplantation

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

Assessing proportionality in the proportional odds model for ordinal logistic regression.

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