The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force–3
Abstract
State-transition modeling (STM) is an intuitive, flexible, and transparent approach of computer-based decision-analytic modeling, including both Markov model cohort simulation as well as individual-based (first-order Monte Carlo) microsimulation. Conceptualizing a decision problem in terms of a set of (health) states and transitions among these states, STM is one of the most widespread modeling techniques in clinical decision analysis, health technology assessment, and health-economic evaluation. STMs have been used in many different populations and diseases, and their applications range from personalized health care strategies to public health programs. Most frequently, state-transition models are used in the evaluation of risk factor interventions, screening, diagnostic procedures, treatment strategies, and disease management programs.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“Another approach is to use within-cycle corrections (WCC).2,22”
From An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example (2023) · cites this paper as [2]
In the citing paper
“cSTMs are usually computationally less demanding than individual-based state-transition models (iSTMs), providing the ability to conduct PSA and value-of-information (VOI) analyses that otherwise might not be computationally feasible with iSTMs.2”
From An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example (2023) · cites this paper as [2]
Citations
Cites
GRADE guidelines: 3. Rating the quality of evidence
Balshem, H., Helfand, M., Schünemann, H. J., Oxman, A. D., Kunz, R., Brozek, J., Vist, G. E., Falck-Ytter, Y., Meerpohl, J., & Norris, S. (2011) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.07.015 · Cited by 8,285
Puterman, M. L. (1994) · Wiley series in probability and statistics · doi:10.1002/9780470316887 · Cited by 6,057
GRADE guidelines: a new series of articles in the Journal of Clinical Epidemiology
Guyatt, G. H., Oxman, A. D., Schünemann, H. J., Tugwell, P., & Knottnerus, A. (2011) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.09.011 · Cited by 3,094
Markov Models in Medical Decision Making: A Practical Guide
Sonnenberg, F. A., & Beck, J. R. (1993) · Medical Decision Making · doi:10.1177/0272989x9301300409 · Cited by 2,419
The Markov process in medical prognosis
Beck, J. R., & Pauker, S. G. (1983) · Medical Decision Making · doi:10.1177/0272989x8300300403 · Cited by 957
Briggs, A. H., Weinstein, M. C., Fenwick, E. A. L., Karnon, J., Sculpher, M. J., & Paltiel, A. D. (2012) · Medical Decision Making · doi:10.1177/0272989x12458348 · Cited by 887
Model Transparency and Validation
Eddy, D. M., Hollingworth, W., Jaime, J., Tsevat, J., McDonald, K. M., & Wong, J. B. (2012) · Medical Decision Making · doi:10.1177/0272989x12454579 · Cited by 803
Briggs, A. H., Weinstein, M. C., Fenwick, E. A. L., Karnon, J., Sculpher, M. J., & Paltiel, A. D. (2012) · Value in Health · doi:10.1016/j.jval.2012.04.014 · Cited by 711
Clarke, P. M., Gray, A. M., Briggs, A., Farmer, A. J., Fenn, P., Stevens, R. J., Matthews, D. R., Stratton, I. M., Holman, R. R., & on behalf of the UK Prospective Diabetes Study (UKPDS) Group (2004) · Diabetologia · doi:10.1007/s00125-004-1527-z · Cited by 615
Cost-Effectiveness of Screening for HIV in the Era of Highly Active Antiretroviral Therapy
Sanders, G. D., Bayoumi, A. M., H, V. S. M. P., Bilir, S. P., Neukermans, C. P., Rydzak, C. E., Douglass, L. R., Lazzeroni, L. C., Holodniy, M., & Owens, D. K. (2005) · New England Journal of Medicine · doi:10.1056/nejmsa042657 · Cited by 603
Self-citation
Research works printed but not linked: 2
- Robins JM, 2004, Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors. Vol. 1, 2191
- Sonnenberg FA, 1994, Med Care, 32, JS52
Cited by
Sorted by citations
Items 101–200 of 348
Familial hypercholesterolemia: A systematic review of modeling studies on screening interventions
Jahn, B., Santamaria, J., Dieplinger, H., Binder, C. J., Ebenbichler, C. F., Scholl‐Bürgi, S., Conrads‐Frank, A., Rochau, U., Kühne, F., Stojkov, I., et al. (2022) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2022.06.1011 · Cited by 19
Self-citationVerification of Decision-Analytic Models for Health Economic Evaluations: An Overview
Dasbach, E. J., & Elbasha, E. H. (2017) · PharmacoEconomics · doi:10.1007/s40273-017-0508-2 · Cited by 19
Viscondi, J. Y. K., Faustino, C. G., Campolina, A. G., Itria, A., & de Soárez, P. C. (2018) · Clinics · doi:10.6061/clinics/2018/e385 · Cited by 19
You, J. H. S., Luk, S. W. C., Chow, D. Y. W., Jiang, X., Mak, A. D. P., & Mak, W. W. S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0268061 · Cited by 18
“clinical events and to reduce error in outcomes resulting from discretization, and therefore monthly cycle length was applied in the present model [13].”
Endoscopic polypectomy in the clinic: a pilot cost‐effectiveness analysis
Rudmik, L. R., Smith, K. A., & Kilty, S. (2015) · Clinical Otolaryngology · doi:10.1111/coa.12473 · Cited by 18
Saunders, R., Comerota, A. J., Ozols, A., Torres, R. T., & Ho, K. M. (2018) · ClinicoEconomics and Outcomes Research · doi:10.2147/ceor.s157306 · Cited by 18
Modeling Retinal Ganglion Cell Dysfunction in Optic Neuropathies
Porciatti, V., & Chou, T.-H. (2021) · Cells · doi:10.3390/cells10061398 · Cited by 18
Wu, B., Liu, M., Li, T., Lin, H., & Zhong, H. (2017) · Medicine · doi:10.1097/md.0000000000007445 · Cited by 18
Is risk-stratified breast cancer screening economically efficient in Germany?
Arnold, M., Pfeifer, K., & Quante, A. S. (2019) · PLoS ONE · doi:10.1371/journal.pone.0217213 · Cited by 17
Nutrition and public health economic evaluations under the lenses of post normal science
Piano, S. L., & Robinson, M. (2019) · Futures · doi:10.1016/j.futures.2019.06.008 · Cited by 17
Botwright, S., Sittimart, M., Chavarina, K. K., Bayani, D. B., Merlin, T., Surgey, G., Suharlim, C., Espinoza, M., Culyer, A. J., Oortwijn, W., et al. (2024) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462324004719 · Cited by 16
Kühne, F., Schomaker, M., Stojkov, I., Jahn, B., Conrads‐Frank, A., Siebert, S., Sroczynski, G., Puntscher, S., Schmid, D., Schnell‐Inderst, P., et al. (2022) · PubMed Central · doi:10.3205/000314 · Cited by 17
Self-citationLives Saved by Expanding HIV Treatment Availability in Resource-Limited Settings
Kimmel, A. D., Charles, M., Deschamps, M.-M., Sévère, P., Edwards, A. M., Johnson, W. D., Fitzgerald, D. W., Pape, J. W., & Schackman, B. R. (2013) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0b013e3182918875 · Cited by 16
Zechmeister-Koss, I., Schnell-Inderst, P., & Zauner, G. (2014) · Medical decision making · doi:10.1177/0272989x13509406 · Cited by 9
Laxy, M., Wilson, E., Boothby, C. E., & Griffin, S. (2017) · Value in Health · doi:10.1016/j.jval.2017.05.018 · Cited by 12
Rogelj, V., & Bogataj, D. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.08.476 · Cited by 16
Health variations among breast-cancer patients from different disease states: evidence from China
Yang, Q., Yu, X., & Zhang, W. (2020) · BMC Health Services Research · doi:10.1186/s12913-020-05872-5 · Cited by 16
Herring, W. L., Pearson, I. V., Purser, M. F., Nakhai-Pour, H. R., Haiderali, A., Wolowacz, S. E., & Jayasundara, K. (2015) · PharmacoEconomics · doi:10.1007/s40273-015-0332-5 · Cited by 16
Gimeno‐Ballester, V., Mar, J., & Miguel, R. S. (2015) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1586/14737167.2015.1081061 · Cited by 15
Decision-analytic modeling studies: An overview for clinicians using multiple myeloma as an example
Rochau, U., Jahn, B., Qerimi, V., Burger, E. A., Kurzthaler, C., Kluibenschaedl, M., Willenbacher, E., Gastl, G. A., Willenbacher, W., & Siebert, U. (2015) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2014.12.017 · Cited by 15
Self-citationVeličković, V. M., Chadwick, P., Rippon, M. G., Ilić, I., McGlone, E. R., Gebreslassie, M., Csernus, M., Streit, I., Bordeanu, A., Kaspar, D., et al. (2020) · Journal of Wound Care · doi:10.12968/jowc.2020.29.4.235 · Cited by 15
McCarty, T. R., Jirapinyo, P., James, L. P., Gupta, S., Chan, W. W., & Thompson, C. C. (2022) · Endoscopy International Open · doi:10.1055/a-1783-9378 · Cited by 15
Botwright, S., Sittimart, M., Chavarina, K. K., Bayani, D. B., Merlin, T., Surgey, G., Suharlim, C., Espinoza, M., Culyer, A. J., Oortwijn, W., et al. (2025) · Value in Health · doi:10.1016/j.jval.2024.09.001 · Cited by 21
Veličković, V. M., Szilcz, M., Milošević, Z. G., Godfrey, T., & Siebert, U. (2021) · International Wound Journal · doi:10.1111/iwj.13645 · Cited by 15
Self-citationKazi, D. S., Abdullah, A. R., Arnold, S. V., Basu, A., Bellows, B. K., Breathett, K., Chew, D. S., Cohen, D. J., DeJong, C., Heidenreich, P. A., et al. (2026) · JACC · doi:10.1016/j.jacc.2025.05.009 · Cited by 14
Self-citationGimeno‐Ballester, V., Mar, J., O’Leary, A. C., Adams, R., & Miguel, R. S. (2016) · Expert Review of Gastroenterology & Hepatology · doi:10.1080/17474124.2016.1222271 · Cited by 14
Jahn, B., Bundo, M., Arvandi, M., Schaffner, M., Todorović, J., Sroczynski, G., Knudsen, A. B., Fischer, T., Schiller-Fruehwirth, I., Öfner, D., et al. (2025) · BMC Gastroenterology · doi:10.1186/s12876-025-03679-4 · Cited by 18
Self-citationCost-effectiveness of ocriplasmin for the treatment of vitreomacular traction and macular hole
Bennison, C., Stephens, S., Lescrauwaet, B., van Hout, B., & Jackson, T. L. (2016) · Journal of Market Access & Health Policy · doi:10.3402/jmahp.v4.31472 · Cited by 14
Analyzing the concept of spillover effects for expanded inclusion in health economics research
Muir, K. J., & Keim‐Malpass, J. (2020) · Journal of Comparative Effectiveness Research · doi:10.2217/cer-2020-0051 · Cited by 14
Field Trauma Triage among Older Adults: A Cost-Effectiveness Analysis
Maughan, B. C., Lin, A., Caughey, A. B., Bulger, E. M., McConnell, K. J., Malveau, S., Griffiths, D., & Newgard, C. D. (2022) · Journal of the American College of Surgeons · doi:10.1097/xcs.0000000000000025 · Cited by 14
McCarthy, E. A., Joseph, J. T., Foster, G., Mangwiro, A., Mwapasa, V., Oyeledun, B., Phiri, S., Sam-Agudu, N. A., Essajee, S. M., & on behalf of the INSPIRE Team (2017) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0000000000001364 · Cited by 14
Khoo, T., & Gao, L. (2020) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1080/14737167.2021.1847648 · Cited by 14
Minimal Residual Disease Evaluation in Childhood Acute Lymphoblastic Leukemia: An Economic Analysis.
(2016) · PubMed Central · Cited by 14
A Decision-Analytic Model to Assess the Cost-Effectiveness of Etelcalcetide vs. Cinacalcet
Stollenwerk, B., Iannazzo, S., Akehurst, R. L., ADENA, M. A., Briggs, A. H., Dehmel, B., Parfrey, P. S., & Belozeroff, V. (2018) · PharmacoEconomics · doi:10.1007/s40273-017-0605-2 · Cited by 13
Veličković, V. M., Borisenko, O., Svensson, M., Spelman, T. D., & Siebert, U. (2018) · PLoS ONE · doi:10.1371/journal.pone.0204643 · Cited by 13
Self-citationArlégui, H., Bollaerts, K., Bauchau, V., Nachbaur, G., Bégaud, B., & Praet, N. (2020) · Drug Safety · doi:10.1007/s40264-020-00982-9 · Cited by 13
Miroshnychenko, A., Uhlman, K., Malone, J. L., Waltho, D., & Thoma, A. (2021) · Journal of Plastic Reconstructive & Aesthetic Surgery · doi:10.1016/j.bjps.2021.05.017 · Cited by 13
Mental health systems modelling for evidence-informed service reform in Australia
Whiteford, H., Bagheri, N., Diminic, S., Enticott, J., Gao, C. X., Hamilton, M. P., Hickie, I. B., Le, L. K., Lee, Y. Y., Long, K. M., et al. (2023) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/00048674231172113 · Cited by 13
Jahn, B., Rochau, U., Kurzthaler, C., Paulden, M., Kluibenschaedl, M., Arvandi, M., Kühne, F., Goehler, A., Krahn, M. D., & Siebert, U. (2015) · Medical Decision Making · doi:10.1177/0272989x15604158 · Cited by 13
Self-citation2. How is the economic assessment of vaccines performed today?
Standaert, B., & Rappuoli, R. (2017) · Journal of Market Access & Health Policy · doi:10.1080/20016689.2017.1335163 · Cited by 13
Zomer, E., Zhou, J., Nelson, A. J., Sumithran, P., Nanayakkara, S., Ball, J., Kaye, D. M., Liew, D., Nicholls, S. J., Stub, D. A., et al. (2024) · European Heart Journal - Quality of Care and Clinical Outcomes · doi:10.1093/ehjqcco/qcae063 · Cited by 12
Postma, M. J., Westra, T. A., Quilici, S., & Largeron, N. (2013) · Expert Review of Vaccines · doi:10.1586/erv.13.36 · Cited by 12
The ONCOTYROL Prostate Cancer Outcome and Policy Model
Mühlberger, N., Kurzthaler, C., Iskandar, R., Krahn, M. D., Bremner, K. E., Oberaigner, W., Klocker, H., Horninger, W., Conrads‐Frank, A., Sroczynski, G., et al. (2015) · Medical Decision Making · doi:10.1177/0272989x15585114 · Cited by 12
Self-citationMühlberger, N., Boskovic, K., Krahn, M. D., Bremner, K. E., Oberaigner, W., Klocker, H., Horninger, W., Sroczynski, G., & Siebert, U. (2017) · BMC Public Health · doi:10.1186/s12889-017-4439-9 · Cited by 12
Self-citationHiragi, S., Tamura, H., Goto, R., & Kuroda, T. (2018) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-018-0678-7 · Cited by 12
Li, F., Jörg, F., Li, X., & Feenstra, T. (2022) · PharmacoEconomics · doi:10.1007/s40273-022-01185-z · Cited by 12
McGrady, M. E., Eckman, M. H., O'Brien, M. M., & Pai, A. L. H. (2018) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsy022 · Cited by 12
Schaffner, M., Mühlberger, N., Conrads‐Frank, A., Qerimi, V., Sroczynski, G., Koukkou, E. G., Thuesen, B. H., Völzke, H., Oberaigner, W., Siebert, U., et al. (2020) · Thyroid · doi:10.1089/thy.2020.0062 · Cited by 12
Self-citationDíez, F. J., Yebra, M., Bermejo, I., Palacios-Alonso, M. A., Calleja, M. A., Luque, M., & Pérez‐Martín, J. (2017) · Medical Decision Making · doi:10.1177/0272989x16685088 · Cited by 12
Fu, T. S., Scheffler, P., Forner, D. W. A., Noel, C. W., Huang, S. H., Gilbert, R. W., Goldstein, D. P., O’Sullivan, B., Mehanna, H. M., Waldron, J. N., et al. (2021) · Cancer · doi:10.1002/cncr.33653 · Cited by 11
Richter, A.-K., Klimek, L., Merk, H. F., Mülleneisen, N. K., Renz, H. E., Wehrmann, W., Werfel, T., Hamelmann, E. H., Siebert, U., Sroczynski, G., et al. (2018) · The European Journal of Health Economics · doi:10.1007/s10198-018-0970-6 · Cited by 11
Self-citationYu, T. M., Tradonsky, A., Tang, J., & Arnold, R. J. G. (2019) · ClinicoEconomics and Outcomes Research · doi:10.2147/ceor.s201328 · Cited by 10
Rajagopalan, K., Bloudek, L. M., Marvel, J., Dembek, C., & Kavati, A. (2018) · International Journal of COPD · doi:10.2147/copd.s177097 · Cited by 10
Rochau, U., Qerimi, V., Schaffner, M., Schönhensch, M., Stojkov, I., Jahn, B., Hubalewska–Dydejczyk, A., Erlund, I., Thuesen, B. H., Zimmermann, M. B., et al. (2020) · Thyroid · doi:10.1089/thy.2018.0776 · Cited by 10
Self-citationHertzberg, S. N. W., Veiby, N., Bragadóttir, R., Eriksen, K., Moe, M. C., Petrovski, B. É., & Petrovski, G. (2020) · Acta Ophthalmologica · doi:10.1111/aos.14367 · Cited by 10
Saiyarsarai, P., Derakhshan, A. R., Khedmati, J., Eshghi, P., & Seyedifar, M. (2021) · Medicine · doi:10.1097/md.0000000000027303 · Cited by 10
Ackerman, S. J., Deol, G. S., & Polly, D. W. (2022) · ClinicoEconomics and Outcomes Research · doi:10.2147/ceor.s377132 · Cited by 10
Trenaman, L., Sadatsafavi, M., Almeida, F. R., Ayas, N., Lynd, L. D., Marra, C. A., Stacey, D., & Bansback, N. J. (2014) · Medical Decision Making · doi:10.1177/0272989x14556676 · Cited by 10
Johansson, E., Núñez, M., Svedbom, A., Dilla, T., & Hartz, S. (2018) · ClinicoEconomics and Outcomes Research · doi:10.2147/ceor.s167727 · Cited by 10
Applied Methods for Estimating Transition Probabilities from Electronic Health Record Data
Rodriguez, P. J., Ward, Z. J., Long, M. W., Austin, S. B., & Wright, D. R. (2021) · Medical Decision Making · doi:10.1177/0272989x20985752 · Cited by 10
Adding Events to a Markov Model Using DICE Simulation
Jaime, J., & Möller, J. (2017) · Medical Decision Making · doi:10.1177/0272989x17715636 · Cited by 9
US Tobacco 21 Policies and Potential Mortality Reductions by State
Tam, J., Crippen, A., Friedman, A. S., Jeon, J., Colston, D. C., Fleischer, N. L., Woude, C. A. V., Boelter, M. A., Holford, T. R., Levy, D. T., et al. (2024) · JAMA Health Forum · doi:10.1001/jamahealthforum.2024.4445 · Cited by 9
Siebert, U., Jahn, B., Rochau, U., Schnell‐Inderst, P., Kisser, A., Hunger, T., Sroczynski, G., Mühlberger, N., Willenbacher, W., Schnaiter, S., et al. (2015) · Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen · doi:10.1016/j.zefq.2015.06.012 · Cited by 9
Self-citationSystematic Assessment of Decision-Analytic Models for Chronic Myeloid Leukemia
Rochau, U., Schwarzer, R., Jahn, B., Sroczynski, G., Kluibenschaedl, M., Wolf, D. G. F., Radich, J. P., Brixner, D. I., Gastl, G. A., & Siebert, U. (2014) · Applied Health Economics and Health Policy · doi:10.1007/s40258-013-0071-8 · Cited by 9
Self-citationForner, D. W. A., Hoit, G., Noel, C. W., Eskander, A. E., de Almeida, J. R., Rigby, M. H., & Naimark, D. M. J. (2020) · Otolaryngology · doi:10.1177/0194599820957288 · Cited by 9
Freitag, A. P., Sarri, G., Ta, A., Gurskyte, L., Cherepanov, D., & Hernandez, L. G. (2024) · PharmacoEconomics · doi:10.1007/s40273-024-01399-3 · Cited by 8
Hoffmann, S., Crispin, A., Lindoerfer, D., Sroczynski, G., Siebert, U., & Mansmann, U. (2020) · BMC Gastroenterology · doi:10.1186/s12876-020-01247-6 · Cited by 8
Self-citationRussell, L. B., Kim, S., Toscano, C. M., Cosgriff, B., Minamisava, R., Andrade, A. L., Sanderson, C. F. B., & Sinha, A. (2020) · Vaccine · doi:10.1016/j.vaccine.2020.09.006 · Cited by 8
Nymark, L. S., Miller, A., & Vassall, A. (2021) · PharmacoEconomics - Open · doi:10.1007/s41669-021-00269-4 · Cited by 8
The long‐term impact and value of curative therapy for HIV: a modelling analysis
Guzauskas, G. F., & Hallett, T. B. (2023) · Journal of the International AIDS Society · doi:10.1002/jia2.26170 · Cited by 8
Armstrong, S. O., & Little, R. A. (2019) · Patient Preference and Adherence · doi:10.2147/ppa.s213258 · Cited by 7
Comparing Decisions for Malaria Testing and Presumptive Treatment
Basu, S., Modrek, S., & Bendavid, E. (2014) · Medical Decision Making · doi:10.1177/0272989x14533609 · Cited by 7
Response to “The Life Table Method of Half-Cycle Correction: Getting It Right”
Naimark, D. M. J., Kabboul, N. N., & Krahn, M. D. (2014) · Medical Decision Making · doi:10.1177/0272989x14520719 · Cited by 7
Wang, Z., Zhang, Q., & Wu, B. (2019) · BioMed Research International · doi:10.1155/2019/2741598 · Cited by 7
Kellerborg, K., Brouwer, W. B. F., & van Baal, P. H. M. (2020) · The European Journal of Health Economics · doi:10.1007/s10198-020-01218-4 · Cited by 7
de Almeida, F. A., Ramos, I. C., Mölken, M. R., & Al, M. (2021) · Value in Health · doi:10.1016/j.jval.2021.04.004 · Cited by 7
Felfeli, T., Teja, B. J., Miranda, R. N., Simbulan, F., Sridhar, J. S., Sander, B., & Naimark, D. M. J. (2023) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2023.06.002 · Cited by 7
A State Transition Approach to Conceptualising Research: the Project Portfolio Management Domain
McDonald, C., & Sarbazhosseini, H. (2013) · Journal of the Association for Information Systems · Cited by 7
Changing Cycle Lengths in State-Transition Models: Doing it the Right Way
Chhatwal, J., Jayasuriya, S., & Elbasha, E. H. (2014) · Cited by 7
Characterizing Heterogeneity Bias in Cohort-Based Models
Elbasha, E. H., & Chhatwal, J. (2015) · PharmacoEconomics · doi:10.1007/s40273-015-0273-z · Cited by 7
Matusevich, A. R. K., Suarez-Almazor, M. E., Cantor, S. B., Lal, L. S., Swint, J. M., & Lopez-Olivo, M. A. (2019) · Arthritis Care & Research · doi:10.1002/acr.23859 · Cited by 7
Incorporating healthcare access and equity in economic evaluations: a scoping review of guidelines
Dawkins, B., Shinkins, B., Ensor, T., Jayne, D. G., & Meads, D. M. (2024) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462324000618 · Cited by 8
Hatz, M. H. M., Leidl, R., Yates, N., & Stollenwerk, B. (2014) · PharmacoEconomics · doi:10.1007/s40273-013-0128-4 · Cited by 6
Meadows, M. L., Suiter, S. V., Sealy, L. J., Marshall, D. R., Whalen, M. M., & Adunyah, S. E. (2022) · CBE—Life Sciences Education · doi:10.1187/cbe.21-10-0308 · Cited by 6
Lyons, P. G., Mody, A., Bewley, A. F., Schoer, M. B., Raju, B. N., Geng, E. H., Payne, P., Sinha, P., & Vijayan, A. (2022) · Critical Care Explorations · doi:10.1097/cce.0000000000000784 · Cited by 6
Cherif, A., Ovcinnikova, O., Palmer, C., Engelbrecht, K., Reuschenbach, M., & Daniels, V. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.37703 · Cited by 6
Veličković, V. M., Rochau, U., Conrads-Frank, A., Kee, F., Blankenberg, S., & Siebert, U. (2018) · Expert review of pharmacoeconomics & outcomes research · doi:10.1080/14737167.2018.1512857 · Cited by 5
Self-citationChantarat, T., Enns, E. A., Hardeman, R. R., McGovern, P. M., Myers, S. L., & Dill, J. (2022) · Journal of Economics Race and Policy · doi:10.1007/s41996-022-00098-5 · Cited by 6
Health Economic Aspects of Childhood Excess Weight: A Structured Review
Onyimadu, O., Violato, M., Astbury, N. M., Jebb, S. A., & Petrou, S. (2022) · Children · doi:10.3390/children9040461 · Cited by 6
McCandlish, J. A., Ayer, T., & Chhatwal, J. (2022) · Medical Decision Making · doi:10.1177/0272989x221125418 · Cited by 6
Elías, I., Oyagüez, I., Alvarez-Sala, L. A., Garcia-Bragado, F., Navarro‐Ruiz, A., González, P., de Andrés-Nogales, F., & Soto, J. (2016) · PubMed · doi:10.7399/fh.2016.40.3.10461 · Cited by 6
Kließ, M. K., Kluibenschaedl, M., Zoehrer, R., Schlick, B., Scandurra, F., & Urban, M. (2017) · Value in Health · doi:10.1016/j.jval.2017.04.020 · Cited by 5
Cost-utility of ticagrelor plus aspirin in diabetic patients with stable coronary artery disease
Wu, B. Y., & Shi, L. (2020) · European Heart Journal - Cardiovascular Pharmacotherapy · doi:10.1093/ehjcvp/pvaa082 · Cited by 6
A comprehensive framework for considering additional unintended consequences in economic evaluation
Nymark, L. S., & Vassall, A. (2020) · Cost Effectiveness and Resource Allocation · doi:10.1186/s12962-020-00218-8 · Cited by 6
Leväsluoto, J., Köhl, J., Sigfrids, A., Pihlajamäki, J., & Martikainen, J. A. (2021) · Sustainability · doi:10.3390/su132313007 · Cited by 6
Alarid-Escudero, F., Krijkamp, E., Enns, E. A., Yang, A., Hunink, M. G. M., Pechlivanoglou, P., & Jalal, H. (2023) · Medical Decision Making · doi:10.1177/0272989x221121747 · Cited by 5
Developing a fall prevention intervention economic model
Saunders, H., Anderson, C. L., Feldman, F., Holroyd-Leduc, J. M., Jain, R., Liu, B., Macaulay, S., Marr, S., Silvius, J. L., Weldon, J., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0280572 · Cited by 5
Self-citationA Latent Class Approach to Modeling Trajectories of Health Care Cost in Pediatric Cystic Fibrosis
Levy, J. F., & Rosenberg, M. A. (2019) · Medical Decision Making · doi:10.1177/0272989x19859875 · Cited by 5
Sherman, S. L., Askew, N., Nherera, L. M., Searle, R. J., & Flanigan, D. C. (2024) · Arthroscopy Sports Medicine and Rehabilitation · doi:10.1016/j.asmr.2023.100847 · Cited by 5
Pereira, C., Areia, M., & Dinis-Ribeiro, M. J. (2019) · Digestive and Liver Disease · doi:10.1016/j.dld.2019.07.012 · Cited by 6
Metadata
- Authors
- Siebert, U., Alagoz, O., Bayoumi, A. M., Jahn, B., Owens, D. K., Cohen, D. J., & Kuntz, K. M.
- Affiliations
- St. Michael's Hospital (CA)
- UMIT–University for Health Sciences, Medical Informatics and Technology,Hall/Tyrol, Austria (US)
- Venue
- Medical Decision Making
- Publisher
- SAGE Publications
- Published
- 2012-09
- Volume
- 32
- Issue
- 5
- Pages
- 690-700
- ISSN
- 0272-989X (ISSN-L)
- 1552-681X
- OpenAlex
- W2132708603
- Cited by
- 348
- References
- 59
- Citations by year
- 2026: 23 · 2025: 23 · 2024: 19 · 2023: 18 · 2022: 28 · 2021: 23 · 2020: 29 · 2019: 25 · 2018: 24 · 2017: 29 · 2016: 25 · 2015: 32 · 2014: 21 · 2013: 19 · 2012: 8
- FWCI
- 61.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medical Decision Making (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- state transition modeling, Monte Carlo simulation, clinical decision analysis, health technology assessment, health economic evaluation, health states, risk factor intervention, screening, diagnostic procedures, treatment options, disease management programs
- MeSH terms
- Decision Making, Markov Chains, Models, Theoretical, Cohort Studies, Benchmarking
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