{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T05:23:11Z","timestamp":1787376191949,"version":"build-2736575974"},"reference-count":64,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T00:00:00Z","timestamp":1787270400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T00:00:00Z","timestamp":1787270400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Biometrical J"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>In survival analysis, addressing non\u2010proportional hazards and the presence of long\u2010term survivors poses substantial methodological challenges, as traditional models often fail to capture these features adequately. To overcome these limitations, a novel long\u2010term survival model is proposed that integrates the Yang and Prentice framework with a defective Gompertz distribution. The proposed model provides a robust approach for analyzing time\u2010to\u2010event data with non\u2010proportional hazards and a cure fraction. Comprehensive simulation studies and an application to colorectal cancer data illustrate its flexibility in capturing time\u2010varying hazard ratios and long\u2010term survivors, making it a useful alternative to existing\u00a0methods.<\/jats:p>","DOI":"10.1002\/bimj.70158","type":"journal-article","created":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T04:26:27Z","timestamp":1787372787000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Approach for Analyzing Non\u2010Proportional Hazards With Long\u2010Term Survivors: The Defective Yang\u2013Prentice Model"],"prefix":"10.1002","volume":"68","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2332-5863","authenticated-orcid":false,"given":"Vinicius F.","family":"Calsavara","sequence":"first","affiliation":[{"name":"Department of Computational Biomedicine, Biostatistics Shared Resource Cedars\u2010Sinai Health Sciences University Los Angeles California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,8,21]]},"reference":[{"issue":"2","key":"e_1_2_11_2_1","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1590\/s0004-2803.202000000-32","article-title":"Survival of Patients With Colorectal Cancer in a Cancer Center","volume":"57","author":"Aguiar S.","year":"2020","journal-title":"Arquivos de Gastroenterologia"},{"key":"e_1_2_11_3_1","doi-asserted-by":"crossref","DOI":"10.1016\/j.critrevonc.2021.103350","article-title":"Critical Review of Oncology Clinical Trial Design Under Non\u2010Proportional Hazards","volume":"162","author":"Ananthakrishnan R.","year":"2021","journal-title":"Critical Reviews in Oncology\/Hematology"},{"issue":"3","key":"e_1_2_11_4_1","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1002\/sim.9259","article-title":"Using Fractional Polynomials and Restricted Cubic Splines to Model Non\u2010Proportional Hazards or Time\u2010Varying Covariate Effects in the Cox Regression Model","volume":"41","author":"Austin P. C.","year":"2022","journal-title":"Statistics in Medicine"},{"key":"e_1_2_11_5_1","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1007\/s10985-008-9108-y","article-title":"Review and Implementation of Cure Models Based on First Hitting Times for Wiener Processes","volume":"15","author":"Balka J.","year":"2009","journal-title":"Lifetime Data Analysis"},{"key":"e_1_2_11_6_1","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1080\/02664760903301127","article-title":"Bayesian and Likelihood Inference for Cure Rates Based on Defective Inverse Gaussian Regression Models","volume":"38","author":"Balka J.","year":"2011","journal-title":"Journal of Applied Statistics"},{"key":"e_1_2_11_7_1","doi-asserted-by":"crossref","first-page":"1069","DOI":"10.1177\/09622802241242325","article-title":"Methods for Non\u2010Proportional Hazards in Clinical Trials: A Systematic Review","volume":"33","author":"Bardo M.","year":"2024","journal-title":"Statistical Methods in Medical Research"},{"issue":"2","key":"e_1_2_11_8_1","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1002\/sim.4780020223","article-title":"Analysis of Survival Data by the Proportional Odds Model","volume":"2","author":"Bennett S.","year":"1983","journal-title":"Statistics in Medicine"},{"key":"e_1_2_11_9_1","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1080\/01621459.1952.10501187","article-title":"Survival Curve for Cancer Patients Following Treatment","volume":"47","author":"Berkson J.","year":"1952","journal-title":"Journal of the American Statistical Association"},{"issue":"17","key":"e_1_2_11_10_1","doi-asserted-by":"crossref","first-page":"1627","DOI":"10.1056\/NEJMoa1507643","article-title":"Nivolumab Versus Docetaxel in Advanced Nonsquamous Non\u2013Small\u2010Cell Lung Cancer","volume":"373","author":"Borghaei H.","year":"2015","journal-title":"New England Journal of Medicine"},{"issue":"3","key":"e_1_2_11_11_1","first-page":"229","article-title":"Global Cancer Statistics 2022: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries","volume":"74","author":"Bray F.","year":"2024","journal-title":"CA: A Cancer Journal for Clinicians"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.2307\/2531155"},{"issue":"3","key":"e_1_2_11_13_1","doi-asserted-by":"crossref","first-page":"827","DOI":"10.1007\/s11136-022-03267-z","article-title":"Simulation Study Comparing Analytical Methods for Single\u2010Item Longitudinal Patient\u2010Reported Outcomes Data","volume":"32","author":"Calsavara V. F.","year":"2023","journal-title":"Quality of Life Research"},{"issue":"8","key":"e_1_2_11_14_1","doi-asserted-by":"crossref","first-page":"2100","DOI":"10.1177\/0962280219883905","article-title":"Long\u2010Term Frailty Modeling Using a Non\u2010Proportional Hazards Model: Application With a Melanoma Dataset","volume":"29","author":"Calsavara V. F.","year":"2020","journal-title":"Statistical Methods in Medical Research"},{"issue":"13","key":"e_1_2_11_15_1","doi-asserted-by":"crossref","first-page":"2434","DOI":"10.1080\/02664763.2019.1597029","article-title":"Zero\u2010Adjusted Defective Regression Models for Modeling Lifetime Data","volume":"46","author":"Calsavara V. F.","year":"2019","journal-title":"Journal of Applied Statistics"},{"issue":"4","key":"e_1_2_11_16_1","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1002\/bimj.201800056","article-title":"Defective Regression Models for Cure Rate Modeling With Interval\u2010Censored Data","volume":"61","author":"Calsavara V. F.","year":"2019","journal-title":"Biometrical Journal"},{"issue":"24","key":"e_1_2_11_17_1","doi-asserted-by":"crossref","first-page":"4285","DOI":"10.1002\/sim.5845","article-title":"Logistic\u2010AFT Location\u2010Scale Mixture Regression Models With Nonsusceptibility for Left\u2010Truncated and General Interval\u2010Censored Data","volume":"32","author":"Chen C.\u2010H.","year":"2013","journal-title":"Statistics in medicine"},{"issue":"6","key":"e_1_2_11_18_1","doi-asserted-by":"crossref","first-page":"1213","DOI":"10.1002\/sim.9987","article-title":"Efficient Estimation of Cox Model With Random Change Point","volume":"43","author":"Chen X.","year":"2024","journal-title":"Statistics in Medicine"},{"key":"e_1_2_11_19_1","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1111\/j.2517-6161.1972.tb00899.x","article-title":"Regression Models and Life\u2010Tables","volume":"34","author":"Cox D. R.","year":"1972","journal-title":"Journal of the Royal Statistical Society B"},{"issue":"1","key":"e_1_2_11_20_1","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1214\/20-BJPS471","article-title":"Yang and Prentice Model With Piecewise Exponential Baseline Distribution for Modeling Lifetime Data With Crossing Survival Curves","volume":"35","author":"Demarqui F. N.","year":"2021","journal-title":"Brazilian Journal of Probability and Statistics"},{"issue":"4","key":"e_1_2_11_21_1","doi-asserted-by":"crossref","first-page":"840","DOI":"10.1111\/biom.12097","article-title":"Efficient Semiparametric Estimation of Short\u2010Term and Long\u2010Term Hazard Ratios With Right\u2010Censored Data","volume":"69","author":"Diao G.","year":"2013","journal-title":"Biometrics"},{"issue":"3","key":"e_1_2_11_22_1","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1080\/10618600.1996.10474708","article-title":"Randomized Quantile Residuals","volume":"5","author":"Dunn P. K.","year":"1996","journal-title":"Journal of Computational and Graphical Statistics"},{"issue":"6","key":"e_1_2_11_23_1","doi-asserted-by":"crossref","DOI":"10.1002\/bimj.202300257","article-title":"A New Mixture Model With Cure Rate Applied to Breast Cancer Data","volume":"66","author":"Gallardo D. I.","year":"2024","journal-title":"Biometrical Journal"},{"key":"e_1_2_11_24_1","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1002\/bimj.202000292","article-title":"Nonproportional Hazards Model With a Frailty Term for Modeling Subgroups With Evidence of Long\u2010Term Survivors: Application to a Lung Cancer Dataset","volume":"64","author":"Gazon A. B.","year":"2022","journal-title":"Biometrical Journal"},{"key":"e_1_2_11_25_1","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1002\/(SICI)1097-0258(19980430)17:8<831::AID-SIM790>3.0.CO;2-G","article-title":"Modelling Cure Rates Using the Gompertz Model With Covariate Information","volume":"17","author":"Gieser P. W.","year":"1998","journal-title":"Statistics in Medicine"},{"issue":"1","key":"e_1_2_11_26_1","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1007\/s10985-022-09575-3","article-title":"A General Class of Promotion Time Cure Rate Models With a New Biological Interpretation","volume":"29","author":"G\u00f3mez Y. M.","year":"2023","journal-title":"Lifetime Data Analysis"},{"issue":"29","key":"e_1_2_11_27_1","doi-asserted-by":"crossref","first-page":"6723","DOI":"10.1002\/sim.9208","article-title":"On a New Piecewise Regression Model With Cure Rate: Diagnostics and Application to Medical Data","volume":"40","author":"Gomez Y. M.","year":"2021","journal-title":"Statistics in Medicine"},{"key":"e_1_2_11_28_1","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1093\/biomet\/81.3.515","article-title":"Proportional Hazards Tests and Diagnostics Based on Weighted Residuals","volume":"81","author":"Grambsch P. M.","year":"1994","journal-title":"Biometrika"},{"issue":"16","key":"e_1_2_11_29_1","doi-asserted-by":"crossref","first-page":"2102","DOI":"10.1016\/j.jacc.2019.08.1034","article-title":"Nonproportional Hazards for Time\u2010to\u2010Event Outcomes in Clinical Trials: JACC Review Topic of the Week","volume":"74","author":"Gregson J.","year":"2019","journal-title":"Journal of the American College of Cardiology"},{"issue":"1","key":"e_1_2_11_30_1","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1080\/10543406.2022.2080689","article-title":"Defective 3\u2010Parameter Gompertz Model With Frailty Term for Estimating Cure Fraction in Survival Data","volume":"33","author":"Hajizadeh N.","year":"2023","journal-title":"Journal of Biopharmaceutical Statistics"},{"issue":"11","key":"e_1_2_11_31_1","doi-asserted-by":"crossref","first-page":"6511","DOI":"10.1080\/03610918.2020.1804937","article-title":"The Marshall\u2013Olkin Generalized Defective Gompertz Distribution for Surviving Fraction Modeling","volume":"51","author":"Hamdeni T.","year":"2022","journal-title":"Communications in Statistics\u2010Simulation and Computation"},{"issue":"3","key":"e_1_2_11_32_1","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1093\/biomet\/69.3.553","article-title":"A Class of Rank Test Procedures for Censored Survival Data","volume":"69","author":"Harrington D. P.","year":"1982","journal-title":"Biometrika"},{"key":"e_1_2_11_33_1","unstructured":"INCA.2023. \u201cNational Cancer Institute (INCA). Estimate 2023: Cancer Incidence in Brazil.\u201d Accessed July 19 2024.https:\/\/ninho.inca.gov.br\/jspui\/handle\/123456789\/17914."},{"issue":"8","key":"e_1_2_11_34_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v038.i08","article-title":"Multi\u2010State Models for Panel Data: The msm Package for R","volume":"38","author":"Jackson C. H.","year":"2011","journal-title":"Journal of Statistical Software"},{"key":"e_1_2_11_35_1","volume-title":"The Statistical Analysis of Failure Time Data","author":"Kalbfleisch J. D.","year":"2011"},{"key":"e_1_2_11_36_1","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1080\/01621459.1958.10501452","article-title":"Nonparametric Estimation From Incomplete Observations","volume":"53","author":"Kaplan E. L.","year":"1958","journal-title":"Journal of the American Statistical Association"},{"key":"e_1_2_11_37_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4419-6646-9","volume-title":"Survival Analysis. Statistics for Biology and Health","author":"Kleinbaum D. G.","year":"2012"},{"issue":"1","key":"e_1_2_11_38_1","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1111\/j.1467-9876.2009.00677.x","article-title":"Estimating the Cure Fraction in Population\u2010Based Cancer Studies by Using Finite Mixture Models","volume":"59","author":"Lambert P. C.","year":"2010","journal-title":"Journal of the Royal Statistical Society Series C: Applied Statistics"},{"issue":"3","key":"e_1_2_11_39_1","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1177\/0962280216642264","article-title":"Assessing Methods for Dealing With Treatment Switching in Clinical Trials: A Follow\u2010Up Simulation Study","volume":"27","author":"Latimer N. R.","year":"2018","journal-title":"Statistical Methods in Medical Research"},{"issue":"3","key":"e_1_2_11_40_1","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1111\/j.1541-0420.2007.00975.x","article-title":"Comparing Treatments in the Presence of Crossing Survival Curves: An Application to Bone Marrow Transplantation","volume":"64","author":"Logan B. R.","year":"2008","journal-title":"Biometrics"},{"key":"e_1_2_11_41_1","volume-title":"Survival Analysis with Long\u2010Term Survivors","author":"Maller R.","year":"1996"},{"issue":"4","key":"e_1_2_11_42_1","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1080\/15598608.2018.1460885","article-title":"A New Straightforward Defective Distribution for Survival Analysis in the Presence of a Cure Fraction","volume":"12","author":"Martinez E. Z.","year":"2018","journal-title":"Journal of Statistical Theory and Practice"},{"issue":"4","key":"e_1_2_11_43_1","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1007\/s10985-021-09529-1","article-title":"Weighted Lindley Frailty Model: Estimation and Application to Lung Cancer Data","volume":"27","author":"Mota A.","year":"2021","journal-title":"Lifetime Data Analysis"},{"key":"e_1_2_11_44_1","doi-asserted-by":"crossref","DOI":"10.1007\/b98874","volume-title":"Numerical Optimization","author":"Nocedal J.","year":"1999"},{"issue":"1","key":"e_1_2_11_45_1","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1080\/00031305.1992.10475842","article-title":"A Note on the Delta Method","volume":"46","author":"Oehlert G. W.","year":"1992","journal-title":"American Statistician"},{"key":"e_1_2_11_46_1","doi-asserted-by":"publisher","DOI":"10.2307\/2531492"},{"key":"e_1_2_11_47_1","unstructured":"R Core Team.2024.R: A Language and Environment for Statistical Computing.R Foundation for Statistical Computing."},{"key":"e_1_2_11_48_1","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1007\/s10985-015-9328-x","article-title":"Two New Defective Distributions Based on the Marshall\u2013Olkin Extension","volume":"22","author":"Rocha R.","year":"2016","journal-title":"Lifetime Data Analysis"},{"key":"e_1_2_11_49_1","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.csda.2016.10.001","article-title":"A New Class of Defective Models Based on the Marshall\u2013Olkin Family of Distributions for Cure Rate Modeling","volume":"107","author":"Rocha R.","year":"2017","journal-title":"Computational Statistics & Data Analysis"},{"key":"e_1_2_11_50_1","doi-asserted-by":"crossref","first-page":"1737","DOI":"10.1177\/0962280215587976","article-title":"New Defective Models Based on the Kumaraswamy Family of Distributions With Application to Cancer Data Sets","volume":"26","author":"Rocha R.","year":"2017","journal-title":"Statistical Methods in Medical Research"},{"issue":"8","key":"e_1_2_11_51_1","doi-asserted-by":"crossref","first-page":"1485","DOI":"10.1080\/02664763.2024.2428272","article-title":"A Defective Cure Rate Quantile Regression Model for Male Breast Cancer Data","volume":"52","author":"Rodrigues A.","year":"2025","journal-title":"Journal of Applied Statistics"},{"key":"e_1_2_11_52_1","doi-asserted-by":"publisher","DOI":"10.1080\/02664763.2024.2354443"},{"issue":"19","key":"e_1_2_11_53_1","doi-asserted-by":"crossref","first-page":"2409","DOI":"10.1002\/sim.4274","article-title":"The Use of Restricted Mean Survival Time to Estimate the Treatment Effect in Randomized Clinical Trials When the Proportional Hazards Assumption Is in Doubt","volume":"30","author":"Royston P.","year":"2011","journal-title":"Statistics in Medicine"},{"key":"e_1_2_11_54_1","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1093\/biomet\/69.1.239","article-title":"Partial Residuals for the Proportional Hazards Regression Model","volume":"69","author":"Schoenfeld D.","year":"1982","journal-title":"Biometrika"},{"issue":"3","key":"e_1_2_11_55_1","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1080\/02664763.2018.1498464","article-title":"Defective Models Induced by Gamma Frailty Term for Survival Data With Cured Fraction","volume":"46","author":"Scudilio J.","year":"2019","journal-title":"Journal of Applied Statistics"},{"key":"e_1_2_11_56_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3294-8","volume-title":"Modeling Survival Data: Extending the Cox Model. Statistics for Biology and Health","author":"Therneau T. M.","year":"2000"},{"issue":"464","key":"e_1_2_11_57_1","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1198\/01622145030000001007","article-title":"Estimating Cure Rates From Survival Data: An Alternative to Two\u2010Component Mixture Models","volume":"98","author":"Tsodikov A.","year":"2003","journal-title":"Journal of the American Statistical Association"},{"issue":"22","key":"e_1_2_11_58_1","doi-asserted-by":"crossref","first-page":"2380","DOI":"10.1200\/JCO.2014.55.2208","article-title":"Moving Beyond the Hazard Ratio in Quantifying the Between\u2010Group Difference in Survival Analysis","volume":"32","author":"Uno H.","year":"2014","journal-title":"Journal of Clinical Oncology"},{"issue":"2","key":"e_1_2_11_59_1","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/s42519-025-00434-6","article-title":"The Defective Beta\u2010Gompertz Distribution for Cure Rate Regression Models","volume":"19","author":"Vieira Tojeiro C. A.","year":"2025","journal-title":"Journal of Statistical Theory and Practice"},{"issue":"1","key":"e_1_2_11_60_1","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1177\/09622802251399915","article-title":"Estimation of the Short\u2010Term and Long\u2010Term Hazard Ratios for Interval\u2010Censored and Truncated Data","volume":"35","author":"Wang R.","year":"2026","journal-title":"Statistical Methods in Medical Research"},{"issue":"1","key":"e_1_2_11_61_1","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1023\/A:1013566631377","article-title":"Validation of a Heteroscedastic Hazards Regression Model","volume":"8","author":"Wu H.\u2010D. I.","year":"2002","journal-title":"Lifetime Data Analysis"},{"key":"e_1_2_11_62_1","doi-asserted-by":"crossref","DOI":"10.1142\/2420","volume-title":"Stochastic Models of Tumor Latency and Their Biostatistical Applications","author":"Yakovlev A. Y.","year":"1996"},{"issue":"1","key":"e_1_2_11_63_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/biomet\/92.1.1","article-title":"Semiparametric Analysis of Short\u2010Term and Long\u2010Term Hazard Ratios With Two\u2010Sample Survival Data","volume":"92","author":"Yang S.","year":"2005","journal-title":"Biometrika"},{"issue":"1","key":"e_1_2_11_64_1","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1111\/j.1541-0420.2009.01243.x","article-title":"Improved Logrank\u2010Type Tests for Survival Data Using Adaptive Weights","volume":"66","author":"Yang S.","year":"2010","journal-title":"Biometrics"},{"issue":"442","key":"e_1_2_11_65_1","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1080\/01621459.1998.10473722","article-title":"Restricted Mean Life With Covariates: Modification and Extension of a Useful Survival Analysis Method","volume":"93","author":"Zucker D. M.","year":"1998","journal-title":"Journal of the American Statistical Association"}],"container-title":["Biometrical Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/bimj.70158","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/bimj.70158","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/bimj.70158","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T04:26:36Z","timestamp":1787372796000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/bimj.70158"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,21]]},"references-count":64,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["10.1002\/bimj.70158"],"URL":"https:\/\/doi.org\/10.1002\/bimj.70158","archive":["Portico"],"relation":{},"ISSN":["0323-3847","1521-4036"],"issn-type":[{"value":"0323-3847","type":"print"},{"value":"1521-4036","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,21]]},"assertion":[{"value":"2024-11-27","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-06-24","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-08-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70158"}}