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 *

112 related articles for article (PubMed ID: 23208873)

  • 1. On estimating average effects for multiple treatment groups.
    Landsman V; Pfeiffer RM
    Stat Med; 2013 May; 32(11):1829-41. PubMed ID: 23208873
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identifiability and estimation of causal effects in randomized trials with noncompliance and completely nonignorable missing data.
    Chen H; Geng Z; Zhou XH
    Biometrics; 2009 Sep; 65(3):675-82. PubMed ID: 18759847
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Covariate adjustment and estimation of mean response in randomised trials.
    Bartlett JW
    Pharm Stat; 2018 Sep; 17(5):648-666. PubMed ID: 29998483
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The use of propensity scores and observational data to estimate randomized controlled trial generalizability bias.
    Pressler TR; Kaizar EE
    Stat Med; 2013 Sep; 32(20):3552-68. PubMed ID: 23553373
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study.
    Austin PC; Grootendorst P; Anderson GM
    Stat Med; 2007 Feb; 26(4):734-53. PubMed ID: 16708349
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.
    Coull BA; Bobb JF; Wellenius GA; Kioumourtzoglou MA; Mittleman MA; Koutrakis P; Godleski JJ
    Res Rep Health Eff Inst; 2015 Jun; (183 Pt 1-2):5-50. PubMed ID: 26333238
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Model misspecification and robustness in causal inference: comparing matching with doubly robust estimation.
    Waernbaum I
    Stat Med; 2012 Jul; 31(15):1572-81. PubMed ID: 22359267
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Finite-sample corrected generalized estimating equation of population average treatment effects in stepped wedge cluster randomized trials.
    Scott JM; deCamp A; Juraska M; Fay MP; Gilbert PB
    Stat Methods Med Res; 2017 Apr; 26(2):583-597. PubMed ID: 25267551
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Statistical power in parallel group point exposure studies with time-to-event outcomes: an empirical comparison of the performance of randomized controlled trials and the inverse probability of treatment weighting (IPTW) approach.
    Austin PC; Schuster T; Platt RW
    BMC Med Res Methodol; 2015 Oct; 15():87. PubMed ID: 26472109
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A comparison of methods for estimating the causal effect of a treatment in randomized clinical trials subject to noncompliance.
    Little RJ; Long Q; Lin X
    Biometrics; 2009 Jun; 65(2):640-9. PubMed ID: 18510650
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Power and sample size calculations for discrete bounded outcome scores.
    Tsonaka R; Rizopoulos D; Lesaffre E
    Stat Med; 2006 Dec; 25(24):4241-52. PubMed ID: 16947202
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Sample size requirements to estimate key design parameters from external pilot randomised controlled trials: a simulation study.
    Teare MD; Dimairo M; Shephard N; Hayman A; Whitehead A; Walters SJ
    Trials; 2014 Jul; 15():264. PubMed ID: 24993581
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The logistic transform for bounded outcome scores.
    Lesaffre E; Rizopoulos D; Tsonaka R
    Biostatistics; 2007 Jan; 8(1):72-85. PubMed ID: 16597671
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fully Bayesian inference under ignorable missingness in the presence of auxiliary covariates.
    Daniels MJ; Wang C; Marcus BH
    Biometrics; 2014 Mar; 70(1):62-72. PubMed ID: 24571539
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Analysis of longitudinal Gaussian data with missing data on the response variable].
    Jacqmin-Gadda H; Commenges D; Dartigues J
    Rev Epidemiol Sante Publique; 1999 Dec; 47(6):525-34. PubMed ID: 10673586
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of adaptive treatment strategies based on longitudinal outcomes in sequential multiple assignment randomized trials.
    Li Z
    Stat Med; 2017 Feb; 36(3):403-415. PubMed ID: 27646957
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sensitivity analysis for the estimation of rates of change with non-ignorable drop-out: an application to a randomized clinical trial of the vitamin D3.
    Matsuyama Y
    Stat Med; 2003 Mar; 22(5):811-27. PubMed ID: 12587107
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimating effects of nursing intervention via propensity score analysis.
    Qin R; Titler MG; Shever LL; Kim T
    Nurs Res; 2008; 57(6):444-52. PubMed ID: 19018219
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Propensity score estimation with missing values using a multiple imputation missingness pattern (MIMP) approach.
    Qu Y; Lipkovich I
    Stat Med; 2009 Apr; 28(9):1402-14. PubMed ID: 19222021
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.