BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

142 related articles for article (PubMed ID: 17334924)

  • 1. Estimating stage occupation probabilities in non-Markov models.
    Gunnes N; Borgan O; Aalen OO
    Lifetime Data Anal; 2007 Jun; 13(2):211-40. PubMed ID: 17334924
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Landmark estimation of transition probabilities in non-Markov multi-state models with covariates.
    Hoff R; Putter H; Mehlum IS; Gran JM
    Lifetime Data Anal; 2019 Oct; 25(4):660-680. PubMed ID: 30997582
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Estimation of integrated transition hazards and stage occupation probabilities for non-Markov systems under dependent censoring.
    Datta S; Satten GA
    Biometrics; 2002 Dec; 58(4):792-802. PubMed ID: 12495133
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Non-parametric estimation of transition probabilities in non-Markov multi-state models: The landmark Aalen-Johansen estimator.
    Putter H; Spitoni C
    Stat Methods Med Res; 2018 Jul; 27(7):2081-2092. PubMed ID: 29846146
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models.
    Maltzahn N; Hoff R; Aalen OO; Mehlum IS; Putter H; Gran JM
    Lifetime Data Anal; 2021 Oct; 27(4):737-760. PubMed ID: 34595580
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Nonparametric estimation of transition probabilities in the non-Markov illness-death model: A comparative study.
    de Uña-Álvarez J; Meira-Machado L
    Biometrics; 2015 Jun; 71(2):364-75. PubMed ID: 25735883
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Nonparametric regression of state occupation, entry, exit, and waiting times with multistate right-censored data.
    Mostajabi F; Datta S
    Stat Med; 2013 Jul; 32(17):3006-19. PubMed ID: 23225570
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of nonparametric estimators of the expected number of recurrent events.
    Erdmann A; Beyersmann J; Bluhmki E
    Pharm Stat; 2024; 23(3):339-369. PubMed ID: 38153191
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Survival analysis for AdVerse events with VarYing follow-up times (SAVVY)-estimation of adverse event risks.
    Stegherr R; Schmoor C; Beyersmann J; Rufibach K; Jehl V; Brückner A; Eisele L; Künzel T; Kupas K; Langer F; Leverkus F; Loos A; Norenberg C; Voss F; Friede T
    Trials; 2021 Jun; 22(1):420. PubMed ID: 34187527
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Transition probability estimates for non-Markov multi-state models.
    Titman AC
    Biometrics; 2015 Dec; 71(4):1034-41. PubMed ID: 26148652
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Estimating and comparing adverse event probabilities in the presence of varying follow-up times and competing events.
    Stegherr R; Schmoor C; Lübbert M; Friede T; Beyersmann J
    Pharm Stat; 2021 Nov; 20(6):1125-1146. PubMed ID: 34002935
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Modelling prevalence of a condition: chronic graft-versus-host disease after bone marrow transplantation.
    Couper D; Pepe MS
    Stat Med; 1997 Jul; 16(14):1551-71. PubMed ID: 9257412
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Correcting for dependent censoring in routine outcome monitoring data by applying the inverse probability censoring weighted estimator.
    Willems S; Schat A; van Noorden MS; Fiocco M
    Stat Methods Med Res; 2018 Feb; 27(2):323-335. PubMed ID: 26988930
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Nonparametric estimation of stage occupation probabilities in a multistage model with current status data.
    Datta S; Sundaram R
    Biometrics; 2006 Sep; 62(3):829-37. PubMed ID: 16984326
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Doubly robust estimator of risk in the presence of censoring dependent on time-varying covariates: application to a primary prevention trial for coronary events with pravastatin.
    Kawahara T; Shinozaki T; Matsuyama Y
    BMC Med Res Methodol; 2020 Jul; 20(1):204. PubMed ID: 32736528
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Calibration plots for multistate risk predictions models.
    Pate A; Sperrin M; Riley RD; Peek N; Van Staa T; Sergeant JC; Mamas MA; Lip GYH; O'Flaherty M; Barrowman M; Buchan I; Martin GP
    Stat Med; 2024 Jun; 43(14):2830-2852. PubMed ID: 38720592
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Flexible semi-parametric regression of state occupational probabilities in a multistate model with right-censored data.
    Siriwardhana C; Kulasekera KB; Datta S
    Lifetime Data Anal; 2018 Jul; 24(3):464-491. PubMed ID: 28819787
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The additive nonparametric and semiparametric Aalen model as the rate function for a counting process.
    Scheike TH
    Lifetime Data Anal; 2002 Sep; 8(3):247-62. PubMed ID: 12182121
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction accuracy for the cure probabilities in mixture cure models.
    Jiang W; Sun H; Peng Y
    Stat Methods Med Res; 2017 Oct; 26(5):2029-2041. PubMed ID: 28523948
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-state models and outcome prediction in bone marrow transplantation.
    Keiding N; Klein JP; Horowitz MM
    Stat Med; 2001 Jun; 20(12):1871-85. PubMed ID: 11406847
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.