دورية أكاديمية
Assessing Importance of Biomarkers: a Bayesian Joint Modeling Approach of Longitudinal and Survival Data with Semicompeting Risks.
العنوان: | Assessing Importance of Biomarkers: a Bayesian Joint Modeling Approach of Longitudinal and Survival Data with Semicompeting Risks. |
---|---|
المؤلفون: | Zhang F; Pfizer Inc., Groton, CT, USA., Chen MH; Department of Statistics, University of Connecticut, Storrs, CT, USA., Cong XJ; Everest Medicines, Shanghai, China., Chen Q; Department of Biostatistics, Vanderbilt University, Nashville, TN, USA. |
المصدر: | Statistical modelling [Stat Modelling] 2021 Feb 01; Vol. 21 (1-2), pp. 30-55. Date of Electronic Publication: 2020 Jul 27. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Arnold Country of Publication: England NLM ID: 101314442 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1471-082X (Print) Linking ISSN: 1471082X NLM ISO Abbreviation: Stat Modelling Subsets: PubMed not MEDLINE |
أسماء مطبوعة: | Original Publication: London : Arnold, |
مستخلص: | Longitudinal biomarkers such as patient-reported outcomes (PROs) and quality of life (QOL) are routinely collected in cancer clinical trials or other studies. Joint modeling of PRO/QOL and survival data can provide a comparative assessment of patient-reported changes in specific symptoms or global measures that correspond to changes in survival. Motivated by a head and neck cancer clinical trial, we develop a class of trajectory-based models for longitudinal and survival data with disease progression. Specifically, we propose a class of mixed effects regression models for longitudinal measures, a cure rate model for the disease progression time ( T |
References: | Stat Med. 2012 Jul 20;31(16):1707-21. (PMID: 22344869) Lifetime Data Anal. 2020 Oct;26(4):685-707. (PMID: 32125594) Biometrics. 1994 Dec;50(4):1003-14. (PMID: 7786983) Stat Med. 1997 Jan 15-Feb 15;16(1-3):239-57. (PMID: 9004395) Stat Med. 1996 Nov 15-30;15(21-22):2289-305; discussion 2337-40. (PMID: 8931202) BMC Med Res Methodol. 2016 Dec 5;16(1):168. (PMID: 27919221) Lancet Oncol. 2015 May;16(5):583-94. (PMID: 25892145) Biometrics. 2006 Jun;62(2):432-45. (PMID: 16918907) Biometrics. 2008 Dec;64(4):1238-46. (PMID: 18261160) Biometrics. 2001 Mar;57(1):81-7. (PMID: 11252622) J R Stat Soc Ser C Appl Stat. 2018 Jan;67(1):145-163. (PMID: 29277843) Lifetime Data Anal. 2011 Jan;17(1):80-100. (PMID: 20549344) Stat Med. 2011 May 30;30(12):1366-80. (PMID: 21337596) Stat Med. 2016 Feb 10;35(3):382-98. (PMID: 26376900) J Clin Oncol. 2010 Jun 1;28(16):2796-801. (PMID: 20439643) Biostatistics. 2002 Dec;3(4):547-63. (PMID: 12933597) Biometrics. 2008 Sep;64(3):762-771. (PMID: 18162112) J Comput Graph Stat. 2017;26(1):121-133. (PMID: 28239247) Stat Med. 2008 Dec 30;27(30):6426-38. (PMID: 18825652) Stat Methods Med Res. 2014 Feb;23(1):74-90. (PMID: 22517270) Biometrics. 2003 Sep;59(3):686-93. (PMID: 14601770) Stat Med. 1992 Oct-Nov;11(14-15):1861-70. (PMID: 1480878) Biometrics. 2005 Mar;61(1):64-73. (PMID: 15737079) Biometrics. 2010 Mar;66(1):11-9. (PMID: 19432771) Ann Appl Stat. 2009 Sep 1;3(3):1163-1182. (PMID: 20802852) |
معلومات مُعتمدة: | P01 CA142538 United States CA NCI NIH HHS; R01 CA074015 United States CA NCI NIH HHS; R01 GM070335 United States GM NIGMS NIH HHS |
فهرسة مساهمة: | Keywords: Cure rate model; DIC Decomposition; Markov chain Monte Carlo; Patient-reported outcome; Shared parameter model; Time-varying covariates |
تواريخ الأحداث: | Date Created: 20210730 Latest Revision: 20220202 |
رمز التحديث: | 20221213 |
مُعرف محوري في PubMed: | PMC8315720 |
DOI: | 10.1177/1471082x20933363 |
PMID: | 34326706 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1471-082X |
---|---|
DOI: | 10.1177/1471082x20933363 |