These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

141 related articles for article (PubMed ID: 37691982)

  • 1. Evaluating Dynamic Discrimination Performance of Risk Prediction Models for Survival Outcomes.
    Zhang J; Ning J; Li R
    Stat Biosci; 2023 Jul; 15(2):353-371. PubMed ID: 37691982
    [TBL] [Abstract][Full Text] [Related]  

  • 2. On the time-varying predictive performance of longitudinal biomarkers: Measure and estimation.
    Zhang J; Ning J; Huang X; Li R
    Stat Med; 2021 Oct; 40(23):5065-5077. PubMed ID: 34159633
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Dynamic prediction of time to a clinical event with sparse and irregularly measured longitudinal biomarkers.
    Zhu Y; Huang X; Li L
    Biom J; 2020 Oct; 62(6):1371-1393. PubMed ID: 32196728
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker.
    Pickett KL; Suresh K; Campbell KR; Davis S; Juarez-Colunga E
    BMC Med Res Methodol; 2021 Oct; 21(1):216. PubMed ID: 34657597
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Tutorial on Evaluating the Time-Varying Discrimination Accuracy of Survival Models Used in Dynamic Decision Making.
    Bansal A; Heagerty PJ
    Med Decis Making; 2018 Nov; 38(8):904-916. PubMed ID: 30319014
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study.
    Raynaud M; Aubert O; Divard G; Reese PP; Kamar N; Yoo D; Chin CS; Bailly É; Buchler M; Ladrière M; Le Quintrec M; Delahousse M; Juric I; Basic-Jukic N; Crespo M; Silva HT; Linhares K; Ribeiro de Castro MC; Soler Pujol G; Empana JP; Ulloa C; Akalin E; Böhmig G; Huang E; Stegall MD; Bentall AJ; Montgomery RA; Jordan SC; Oberbauer R; Segev DL; Friedewald JJ; Jouven X; Legendre C; Lefaucheur C; Loupy A
    Lancet Digit Health; 2021 Dec; 3(12):e795-e805. PubMed ID: 34756569
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Does the Presence of Missing Data Affect the Performance of the SORG Machine-learning Algorithm for Patients With Spinal Metastasis? Development of an Internet Application Algorithm.
    Huang CC; Peng KP; Hsieh HC; Groot OQ; Yen HK; Tsai CC; Karhade AV; Lin YP; Kao YT; Yang JJ; Dai SH; Huang CC; Chen CW; Yen MH; Xiao FR; Lin WH; Verlaan JJ; Schwab JH; Hsu FM; Wong T; Yang RS; Yang SH; Hu MH
    Clin Orthop Relat Res; 2023 Jun; 482(1):143-57. PubMed ID: 37306629
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Estimation and inference of predictive discrimination for survival outcome risk prediction models.
    Li R; Ning J; Feng Z
    Lifetime Data Anal; 2022 Apr; 28(2):219-240. PubMed ID: 35061146
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and validation of a dynamic outcome prediction model for paracetamol-induced acute liver failure: a cohort study.
    Bernal W; Wang Y; Maggs J; Willars C; Sizer E; Auzinger G; Murphy N; Harding D; Elsharkawy A; Simpson K; Larsen FS; Heaton N; O'Grady J; Williams R; Wendon J
    Lancet Gastroenterol Hepatol; 2016 Nov; 1(3):217-225. PubMed ID: 28404094
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dynamic Prediction of Renal Failure Using Longitudinal Biomarkers in a Cohort Study of Chronic Kidney Disease.
    Li L; Luo S; Hu B; Greene T
    Stat Biosci; 2017 Dec; 9(2):357-378. PubMed ID: 29250207
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Are Current Survival Prediction Tools Useful When Treating Subsequent Skeletal-related Events From Bone Metastases?
    Pan YT; Lin YP; Yen HK; Yen HH; Huang CC; Hsieh HC; Janssen S; Hu MH; Lin WH; Groot OQ
    Clin Orthop Relat Res; 2024 Mar; ():. PubMed ID: 38517402
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A new approach for interpretability and reliability in clinical risk prediction: Acute coronary syndrome scenario.
    Valente F; Henriques J; Paredes S; Rocha T; de Carvalho P; Morais J
    Artif Intell Med; 2021 Jul; 117():102113. PubMed ID: 34127242
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Addressing subject heterogeneity in time-dependent discrimination for biomarker evaluation.
    Jiang X; Li W; Li R; Ning J
    Stat Med; 2024 Mar; 43(7):1341-1353. PubMed ID: 38287471
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A tutorial on dynamic risk prediction of a binary outcome based on a longitudinal biomarker.
    Dandis R; Teerenstra S; Massuger L; Sweep F; Eysbouts Y; IntHout J
    Biom J; 2020 Mar; 62(2):398-413. PubMed ID: 31777998
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Nonlinear joint models for individual dynamic prediction of risk of death using Hamiltonian Monte Carlo: application to metastatic prostate cancer.
    Desmée S; Mentré F; Veyrat-Follet C; Sébastien B; Guedj J
    BMC Med Res Methodol; 2017 Jul; 17(1):105. PubMed ID: 28716060
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prognostic models for newly-diagnosed chronic lymphocytic leukaemia in adults: a systematic review and meta-analysis.
    Kreuzberger N; Damen JA; Trivella M; Estcourt LJ; Aldin A; Umlauff L; Vazquez-Montes MD; Wolff R; Moons KG; Monsef I; Foroutan F; Kreuzer KA; Skoetz N
    Cochrane Database Syst Rev; 2020 Jul; 7(7):CD012022. PubMed ID: 32735048
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dynamic Risk Prediction of Treatment Discontinuation Using Patient-Reported Outcomes Data in the Phase III NSABP B-35 Trial.
    Calsavara VF; Henry NL; Hays RD; Kim S; Luu M; Diniz MA; Gresham G; Cecchini RS; Yothers G; Ganz PA; Rogatko A; Tighiouart M
    Cancer Prev Res (Phila); 2023 Nov; 16(11):631-639. PubMed ID: 37756580
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis.
    Allotey J; Snell KI; Smuk M; Hooper R; Chan CL; Ahmed A; Chappell LC; von Dadelszen P; Dodds J; Green M; Kenny L; Khalil A; Khan KS; Mol BW; Myers J; Poston L; Thilaganathan B; Staff AC; Smith GC; Ganzevoort W; Laivuori H; Odibo AO; Ramírez JA; Kingdom J; Daskalakis G; Farrar D; Baschat AA; Seed PT; Prefumo F; da Silva Costa F; Groen H; Audibert F; Masse J; Skråstad RB; Salvesen KÅ; Haavaldsen C; Nagata C; Rumbold AR; Heinonen S; Askie LM; Smits LJ; Vinter CA; Magnus PM; Eero K; Villa PM; Jenum AK; Andersen LB; Norman JE; Ohkuchi A; Eskild A; Bhattacharya S; McAuliffe FM; Galindo A; Herraiz I; Carbillon L; Klipstein-Grobusch K; Yeo S; Teede HJ; Browne JL; Moons KG; Riley RD; Thangaratinam S
    Health Technol Assess; 2020 Dec; 24(72):1-252. PubMed ID: 33336645
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On longitudinal prediction with time-to-event outcome: Comparison of modeling options.
    Maziarz M; Heagerty P; Cai T; Zheng Y
    Biometrics; 2017 Mar; 73(1):83-93. PubMed ID: 27438160
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 8.