BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 31488202)

  • 1. Interval-cohort designs and bias in the estimation of per-protocol effects: a simulation study.
    Young JG; Vatsa R; Murray EJ; Hernán MA
    Trials; 2019 Sep; 20(1):552. PubMed ID: 31488202
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bias of time-varying exposure effects due to time-varying covariate measurement strategies.
    Penning de Vries BBL; Groenwold RHH
    Pharmacoepidemiol Drug Saf; 2022 Jan; 31(1):22-27. PubMed ID: 34251702
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adjusting for adherence in randomized trials when adherence is measured as a continuous variable: An application to the Lipid Research Clinics Coronary Primary Prevention Trial.
    Wanis KN; Madenci AL; Hernán MA; Murray EJ
    Clin Trials; 2020 Oct; 17(5):570-575. PubMed ID: 32414298
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Overview of the epidemiology methods and applications: strengths and limitations of observational study designs.
    Colditz GA
    Crit Rev Food Sci Nutr; 2010; 50 Suppl 1(s1):10-2. PubMed ID: 21132580
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Adjustment for treatment changes in epilepsy trials: A comparison of causal methods for time-to-event outcomes.
    Dodd S; Williamson P; White IR
    Stat Methods Med Res; 2019 Mar; 28(3):717-733. PubMed ID: 29117780
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparing g-computation, propensity score-based weighting, and targeted maximum likelihood estimation for analyzing externally controlled trials with both measured and unmeasured confounders: a simulation study.
    Ren J; Cislo P; Cappelleri JC; Hlavacek P; DiBonaventura M
    BMC Med Res Methodol; 2023 Jan; 23(1):18. PubMed ID: 36647031
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studies.
    Hogan JW; Lancaster T
    Stat Methods Med Res; 2004 Feb; 13(1):17-48. PubMed ID: 14746439
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Generalizing the per-protocol treatment effect: The case of ACTG A5095.
    Lu H; Cole SR; Hall HI; Schisterman EF; Breger TL; K Edwards J; Westreich D
    Clin Trials; 2019 Feb; 16(1):52-62. PubMed ID: 30326736
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Statistical considerations in the design and analysis of non-inferiority trials with binary endpoints in the presence of non-adherence: a simulation study.
    Mo Y; Lim C; Mukaka M; Cooper BS
    Wellcome Open Res; 2019; 4():207. PubMed ID: 32420455
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Simulation Study Comparing the Performance of Time-Varying Inverse Probability Weighting and G-Computation in Survival Analysis.
    Rudolph JE; Schisterman EF; Naimi AI
    Am J Epidemiol; 2023 Jan; 192(1):102-110. PubMed ID: 36124667
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assessing efficacy in non-inferiority trials with non-adherence to interventions: Are intention-to-treat and per-protocol analyses fit for purpose?
    Dodd M; Carpenter J; Thompson JA; Williamson E; Fielding K; Elbourne D
    Stat Med; 2024 May; 43(12):2314-2331. PubMed ID: 38561927
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Clarifying selection bias in cluster randomized trials.
    Li F; Tian Z; Bobb J; Papadogeorgou G; Li F
    Clin Trials; 2022 Feb; 19(1):33-41. PubMed ID: 34894795
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A comparison of different methods to adjust survival curves for confounders.
    Denz R; Klaaßen-Mielke R; Timmesfeld N
    Stat Med; 2023 May; 42(10):1461-1479. PubMed ID: 36748630
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The effect of framing and communicating COVID-19 vaccine side-effect risks on vaccine intentions for adults in the UK and the USA: A structured summary of a study protocol for a randomized controlled trial.
    Sudharsanan N; Favaretti C; Hachaturyan V; Bärnighausen T; Vandormael A
    Trials; 2021 Sep; 22(1):592. PubMed ID: 34488843
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Investigation of the structure and magnitude of time-varying uncontrolled confounding in simulated cohort data analyzed using g-computation.
    Soohoo M; Arah OA
    Int J Epidemiol; 2023 Dec; 52(6):1907-1913. PubMed ID: 37898996
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bias in retrospective analyses of biomarker effect using data from an outcome-adaptive randomized trial.
    Ji L; McShane LM; Krailo M; Sposto R
    Clin Trials; 2019 Dec; 16(6):599-609. PubMed ID: 31581815
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Using audit information to adjust parameter estimates for data errors in clinical trials.
    Shepherd BE; Shaw PA; Dodd LE
    Clin Trials; 2012 Dec; 9(6):721-9. PubMed ID: 22848072
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Confounding and regression adjustment in difference-in-differences studies.
    Zeldow B; Hatfield LA
    Health Serv Res; 2021 Oct; 56(5):932-941. PubMed ID: 33978956
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A comparison of estimators from self-controlled case series, case-crossover design, and sequence symmetry analysis for pharmacoepidemiological studies.
    Takeuchi Y; Shinozaki T; Matsuyama Y
    BMC Med Res Methodol; 2018 Jan; 18(1):4. PubMed ID: 29310575
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.