BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

84 related articles for article (PubMed ID: 1637969)

  • 1. When does it pay to break the matches for analysis of a matched-pairs design?
    Lynn HS; McCulloch CE
    Biometrics; 1992 Jun; 48(2):397-409. PubMed ID: 1637969
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Testing treatment effects in unconfounded studies under model misspecification: logistic regression, discretization, and their combination.
    Cangul MZ; Chretien YR; Gutman R; Rubin DB
    Stat Med; 2009 Sep; 28(20):2531-51. PubMed ID: 19572258
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimal multivariate matching before randomization.
    Greevy R; Lu B; Silber JH; Rosenbaum P
    Biostatistics; 2004 Apr; 5(2):263-75. PubMed ID: 15054030
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The merits of breaking the matches: a cautionary tale.
    Donner A; Taljaard M; Klar N
    Stat Med; 2007 Apr; 26(9):2036-51. PubMed ID: 16927437
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sensitivity analysis for m-estimates, tests, and confidence intervals in matched observational studies.
    Rosenbaum PR
    Biometrics; 2007 Jun; 63(2):456-64. PubMed ID: 17688498
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A two-stage design for choosing among several experimental treatments and a control in clinical trials.
    Thall PF; Simon R; Ellenberg SS
    Biometrics; 1989 Jun; 45(2):537-47. PubMed ID: 2765637
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A simple approach to power and sample size calculations in logistic regression and Cox regression models.
    Vaeth M; Skovlund E
    Stat Med; 2004 Jun; 23(11):1781-92. PubMed ID: 15160408
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Two-stage methods for the analysis of pooled data.
    Stukel TA; Demidenko E; Dykes J; Karagas MR
    Stat Med; 2001 Jul; 20(14):2115-30. PubMed ID: 11439425
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003.
    Austin PC
    Stat Med; 2008 May; 27(12):2037-49. PubMed ID: 18038446
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Selection designs for pilot studies based on survival.
    Liu PY; Dahlberg S; Crowley J
    Biometrics; 1993 Jun; 49(2):391-8. PubMed ID: 8369375
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Validity and efficiency of approximation methods for tied survival times in Cox regression.
    Hertz-Picciotto I; Rockhill B
    Biometrics; 1997 Sep; 53(3):1151-6. PubMed ID: 9333345
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Implementing a decision-theoretic design in clinical trials: why and how?
    Palmer CR; Shahumyan H
    Stat Med; 2007 Nov; 26(27):4939-57. PubMed ID: 17582801
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The effect of retrospective sampling on binary regression models for clustered data.
    Neuhaus JM; Jewell NP
    Biometrics; 1990 Dec; 46(4):977-90. PubMed ID: 2085642
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Group sequential t-test for clinical trials with small sample sizes across stages.
    Shao J; Feng H
    Contemp Clin Trials; 2007 Sep; 28(5):563-71. PubMed ID: 17434814
    [TBL] [Abstract][Full Text] [Related]  

  • 15. On design considerations and randomization-based inference for community intervention trials.
    Gail MH; Mark SD; Carroll RJ; Green SB; Pee D
    Stat Med; 1996 Jun; 15(11):1069-92. PubMed ID: 8804140
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Estimation and comparison of changes in the presence of informative right censoring: conditional linear model.
    Wu MC; Bailey KR
    Biometrics; 1989 Sep; 45(3):939-55. PubMed ID: 2486189
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Testing for treatment effect in the presence of regression toward the mean.
    George V; Johnson WD; Shahane A; Nick TG
    Biometrics; 1997 Mar; 53(1):49-59. PubMed ID: 9147603
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clinical trials: odds ratios and multiple regression models--why and how to assess them.
    Sobh M; Cleophas TJ; Hadj-Chaib A; Zwinderman AH
    Am J Ther; 2008; 15(1):44-52. PubMed ID: 18223353
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Logistic regression was preferred to estimate risk differences and numbers needed to be exposed adjusted for covariates.
    Gehrmann U; Kuss O; Wellmann J; Bender R
    J Clin Epidemiol; 2010 Nov; 63(11):1223-31. PubMed ID: 20430578
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The design and analysis of case-control studies with biased sampling.
    Weinberg CR; Wacholder S
    Biometrics; 1990 Dec; 46(4):963-75. PubMed ID: 2085641
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.