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 *

174 related articles for article (PubMed ID: 31456910)

  • 1. Application of Bayesian predictive probability for interim futility analysis in single-arm phase II trial.
    Chen DT; Schell MJ; Fulp WJ; Pettersson F; Kim S; Gray JE; Haura EB
    Transl Cancer Res; 2019 Jul; 8(Suppl 4):S404-S420. PubMed ID: 31456910
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Do we need to adjust for interim analyses in a Bayesian adaptive trial design?
    Ryan EG; Brock K; Gates S; Slade D
    BMC Med Res Methodol; 2020 Jun; 20(1):150. PubMed ID: 32522284
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Futility interim monitoring with control of type I and II error probabilities using the interim Z-value or confidence limit.
    Lachin JM
    Clin Trials; 2009 Dec; 6(6):565-73. PubMed ID: 19933716
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bayesian two-stage design for phase II oncology trials with binary endpoint.
    Chen L; Pan J; Wu Y; Wang J; Chen F; Zhao J; Chen P
    Stat Med; 2022 May; 41(12):2291-2301. PubMed ID: 35178729
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Monitoring futility and efficacy in phase II trials with Bayesian posterior distributions-A calibration approach.
    Kopp-Schneider A; Wiesenfarth M; Witt R; Edelmann D; Witt O; Abel U
    Biom J; 2019 May; 61(3):488-502. PubMed ID: 30175405
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A randomized Bayesian optimal phase II design with binary endpoint.
    Ding Y
    J Biopharm Stat; 2023 Mar; 33(2):151-166. PubMed ID: 35793222
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bayesian Adaptive Randomization and Trial Monitoring with Predictive Probability for Time-to-event Endpoint.
    Yin G; Chen N; Lee JJ
    Stat Biosci; 2018 Aug; 10(2):420-438. PubMed ID: 30559900
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Adaptive treatment allocation and selection in multi-arm clinical trials: a Bayesian perspective.
    Arjas E; Gasbarra D
    BMC Med Res Methodol; 2022 Feb; 22(1):50. PubMed ID: 35184731
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bayesian Interim Analysis and Efficiency of Phase III Randomized Trials.
    Sherry AD; Msaouel P; Miller AM; Lin TA; Kupferman GS; Jaoude JA; Kouzy R; El-Alam MB; Patel R; Koong A; Lin C; Meirson T; McCaw ZR; Ludmir EB
    medRxiv; 2024 Jun; ():. PubMed ID: 38978666
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An extension of Bayesian predictive sample size selection designs for monitoring efficacy and safety.
    Teramukai S; Daimon T; Zohar S
    Stat Med; 2015 Sep; 34(22):3029-39. PubMed ID: 26038148
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Bayesian pick-the-winner design in a randomized phase II clinical trial.
    Chen DT; Huang PY; Lin HY; Chiappori AA; Gabrilovich DI; Haura EB; Antonia SJ; Gray JE
    Oncotarget; 2017 Oct; 8(51):88376-88385. PubMed ID: 29179442
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Sample size reestimation and Bayesian predictive probability for single-arm clinical trials with a time-to-event endpoint using Weibull distribution with unknown shape parameter.
    Waleed M; He J; Phadnis MA
    J Biopharm Stat; 2024 Jul; 34(4):469-487. PubMed ID: 37545144
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Bayesian adaptive design approach for stepped-wedge cluster randomized trials.
    Wang J; Cao J; Ahn C; Zhang S
    Clin Trials; 2024 Jan; ():17407745231221438. PubMed ID: 38240270
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A predictive probability design for phase II cancer clinical trials.
    Lee JJ; Liu DD
    Clin Trials; 2008; 5(2):93-106. PubMed ID: 18375647
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bayesian Sequential Monitoring of Single-Arm Trials: A Comparison of Futility Rules Based on Binary Data.
    Sambucini V
    Int J Environ Res Public Health; 2021 Aug; 18(16):. PubMed ID: 34444562
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Futility Interim Analysis Based on Probability of Success Using a Surrogate Endpoint.
    Fougeray R; Vidot L; Ratta M; Teng Z; Skanji D; Saint-Hilary G
    Pharm Stat; 2024 Jul; ():. PubMed ID: 38956450
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Determining a Bayesian predictive power stopping rule for futility in a non-inferiority trial with binary outcomes.
    Heath A; Offringa M; Pechlivanoglou P; Rios JD; Klassen TP; Poonai N; Pullenayegum E;
    Contemp Clin Trials Commun; 2020 Jun; 18():100561. PubMed ID: 32300671
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A flexible futility monitoring method with time-varying conditional power boundary.
    Ying Zhang ; Clarke WR
    Clin Trials; 2010 Jun; 7(3):209-18. PubMed ID: 20423927
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An optimal Bayesian predictive probability design for phase II clinical trials with simple and complicated endpoints.
    Guo B; Liu S
    Biom J; 2020 Mar; 62(2):339-349. PubMed ID: 31402481
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Phase II trial design with Bayesian adaptive randomization and predictive probability.
    Yin G; Chen N; Lee JJ
    J R Stat Soc Ser C Appl Stat; 2012 Mar; 61(2):219-35. PubMed ID: 24259753
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.