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 *

105 related articles for article (PubMed ID: 8449590)

  • 1. Regression imputation of missing values in longitudinal data sets.
    Schneiderman ED; Kowalski CJ; Willis SM
    Int J Biomed Comput; 1993 Mar; 32(2):121-33. PubMed ID: 8449590
    [TBL] [Abstract][Full Text] [Related]  

  • 2. PC program extending the two-stage polynomial growth curve model to allow missing data.
    Furey AM; Ten Have TR; Kowalski CJ; Schneiderman ED; Willis SM
    Int J Biomed Comput; 1993 Nov; 33(3-4):287-96. PubMed ID: 8307659
    [TBL] [Abstract][Full Text] [Related]  

  • 3. PC program for estimating polynomial growth, velocity and acceleration curves when subjects may have missing data.
    Schneiderman ED; Willis SM; Kowalski CJ
    Int J Biomed Comput; 1993 Nov; 33(3-4):249-65. PubMed ID: 8307656
    [TBL] [Abstract][Full Text] [Related]  

  • 4. PC program for growth prediction in the two-stage polynomial growth curve model.
    Guo IY; Schneiderman ED; Kowalski CJ; Willis SM
    Int J Biomed Comput; 1994 Feb; 35(1):39-46. PubMed ID: 8175207
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A PC program for growth prediction in the context of Rao's polynomial growth curve model.
    Schneiderman ED; Willis SM; Kowalski CJ; Ten Have TR
    Comput Biol Med; 1992 May; 22(3):181-8. PubMed ID: 1617952
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Implementation of exact and approximate randomization tests for polynomial growth curves.
    Schneiderman ED; Willis SM; Kowalski CJ; Guo IY
    Int J Biomed Comput; 1994 Jul; 36(3):187-92. PubMed ID: 7960203
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Extension of the Carter-Yang polynomial growth curve model to allow unique times of measurement for subjects.
    Mauger EA; Kowalski CJ; Schneiderman ED; Willis SM
    Int J Biomed Comput; 1994 Oct; 37(2):105-12. PubMed ID: 7705891
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A PC program for classification into one of several groups on the basis of longitudinal data.
    Schneiderman ED; Willis SM; Kowalski CJ
    Comput Biol Med; 1994 Jul; 24(4):323-8. PubMed ID: 7842654
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Clustering on the basis of longitudinal data.
    Schneiderman ED; Willis SM; Kowalski CJ
    Comput Biol Med; 1993 Sep; 23(5):399-406. PubMed ID: 8222619
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Rao's polynomial growth curve model for unequal-time intervals: a menu-driven GAUSS program.
    Schneiderman ED; Willis SM; Ten Have TR; Kowalski CJ
    Int J Biomed Comput; 1991 Dec; 29(3-4):235-44. PubMed ID: 1778639
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Implementation of Rao's one-sample polynomial growth curve model using SAS.
    Schneiderman ED; Kowalski CJ
    Am J Phys Anthropol; 1985 Aug; 67(4):323-33. PubMed ID: 3840654
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analysis of longitudinal data in craniofacial research: some strategies.
    Schneiderman ED; Kowalski CJ
    Crit Rev Oral Biol Med; 1994; 5(3-4):187-202. PubMed ID: 7703322
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A PC program for diagnosing abnormal growth, growth velocity and acceleration from longitudinal observations.
    Schneiderman ED; Willis SM; Kowalski CJ; Guo IY
    Int J Biomed Comput; 1994 May; 35(4):247-54. PubMed ID: 8063453
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A PC program for computing confidence bands for average and individual growth curves.
    Schneiderman ED; Kowalski CJ; Willis SM; Guo IY
    Comput Biol Med; 1994 Mar; 24(2):119-27. PubMed ID: 8026173
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Attrition in longitudinal studies. How to deal with missing data.
    Twisk J; de Vente W
    J Clin Epidemiol; 2002 Apr; 55(4):329-37. PubMed ID: 11927199
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Longer-term growth prediction using GAUSS.
    Schneiderman ED; Willis SM; Kowalski CJ; Ten Have TR
    Comput Biol Med; 1993 Mar; 23(2):149-54. PubMed ID: 8513666
    [TBL] [Abstract][Full Text] [Related]  

  • 17. PC program extending the Potthoff-Roy longitudinal data analysis model to allow missing data: Kleinbaum's method.
    Guo IY; Schneiderman ED; Kowalski CJ; Willis SM
    Int J Biomed Comput; 1995 Mar; 38(3):243-55. PubMed ID: 7774984
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A PC program to aid in the choice of the design matrix in multiple linear regression.
    Furey AM; Kowalski CJ; Schneiderman ED; Willis SM
    Int J Biomed Comput; 1993 Jul; 33(1):1-23. PubMed ID: 8349356
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Approach to addressing missing data for electronic medical records and pharmacy claims data research.
    Bounthavong M; Watanabe JH; Sullivan KM
    Pharmacotherapy; 2015 Apr; 35(4):380-7. PubMed ID: 25884526
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiple imputation of missing values was not necessary before performing a longitudinal mixed-model analysis.
    Twisk J; de Boer M; de Vente W; Heymans M
    J Clin Epidemiol; 2013 Sep; 66(9):1022-8. PubMed ID: 23790725
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.