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 *

109 related articles for article (PubMed ID: 36542850)

  • 1. Ordinal Pattern Analysis: A Tutorial on Assessing the Fit of Hypotheses to Individual Repeated Measures Data.
    Beechey T
    J Speech Lang Hear Res; 2023 Jan; 66(1):347-364. PubMed ID: 36542850
    [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. The use and interpretation of the Friedman test in the analysis of ordinal-scale data in repeated measures designs.
    Sheldon MR; Fillyaw MJ; Thompson WD
    Physiother Res Int; 1996; 1(4):221-8. PubMed ID: 9238739
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fitting mixed-effects models for repeated ordinal outcomes with the NLMIXED procedure.
    Sheu CF
    Behav Res Methods Instrum Comput; 2002 May; 34(2):151-7. PubMed ID: 12109005
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Erratum to "Ordinal Pattern Analysis: A Tutorial on Assessing the Fit of Hypotheses to Individual Repeated Measures Data".
    J Speech Lang Hear Res; 2023 Mar; 66(3):1136. PubMed ID: 36857075
    [No Abstract]   [Full Text] [Related]  

  • 6. A practical approach to computing power for generalized linear models with nominal, count, or ordinal responses.
    Lyles RH; Lin HM; Williamson JM
    Stat Med; 2007 Mar; 26(7):1632-48. PubMed ID: 16817148
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Nonparametric analysis of ordinal data in designed factorial experiments.
    Shah DA; Madden LV
    Phytopathology; 2004 Jan; 94(1):33-43. PubMed ID: 18943817
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Beyond ANOVA and MANOVA for repeated measures: Advantages of generalized estimated equations and generalized linear mixed models and its use in neuroscience research.
    de Melo MB; Daldegan-Bueno D; Menezes Oliveira MG; de Souza AL
    Eur J Neurosci; 2022 Dec; 56(12):6089-6098. PubMed ID: 36342498
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Power and sample size for the S:T repeated measures design combined with a linear mixed-effects model allowing for missing data.
    Tango T
    J Biopharm Stat; 2017; 27(6):963-974. PubMed ID: 28319460
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Analysis of ordinal repeated measures data using generalized estimating equation].
    Liu X; Zhang JY
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2006 Sep; 37(5):798-800. PubMed ID: 17037756
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Statistical assessment of ordinal outcomes in comparative studies.
    Scott SC; Goldberg MS; Mayo NE
    J Clin Epidemiol; 1997 Jan; 50(1):45-55. PubMed ID: 9048689
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Safety and Efficacy of Imatinib for Hospitalized Adults with COVID-19: A structured summary of a study protocol for a randomised controlled trial.
    Emadi A; Chua JV; Talwani R; Bentzen SM; Baddley J
    Trials; 2020 Oct; 21(1):897. PubMed ID: 33115543
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Unadjusted Bivariate Two-Group Comparisons: When Simpler is Better.
    Vetter TR; Mascha EJ
    Anesth Analg; 2018 Jan; 126(1):338-342. PubMed ID: 29189214
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Monte Carlo method for comparing generalized estimating equations to conventional statistical techniques for discounting data.
    Friedel JE; DeHart WB; Foreman AM; Andrew ME
    J Exp Anal Behav; 2019 Mar; 111(2):207-224. PubMed ID: 30677137
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Testing Measurement Invariance with Ordinal Missing Data: A Comparison of Estimators and Missing Data Techniques.
    Chen PY; Wu W; Garnier-Villarreal M; Kite BA; Jia F
    Multivariate Behav Res; 2020; 55(1):87-101. PubMed ID: 31099262
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mixed models approaches for joint modeling of different types of responses.
    Ivanova A; Molenberghs G; Verbeke G
    J Biopharm Stat; 2016; 26(4):601-18. PubMed ID: 26098411
    [TBL] [Abstract][Full Text] [Related]  

  • 17. GEEORD: A SAS macro for analyzing ordinal response variables with repeated measures through proportional odds, partial proportional odds, or non-proportional odds models.
    Gao X; Schwartz TA; Preisser JS; Perin J
    Comput Methods Programs Biomed; 2017 Oct; 150():23-30. PubMed ID: 28859827
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of imputing at the item, subscale or composite score level.
    Rombach I; Gray AM; Jenkinson C; Murray DW; Rivero-Arias O
    BMC Med Res Methodol; 2018 Aug; 18(1):87. PubMed ID: 30153796
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of methods for imputing ordinal data using multivariate normal imputation: a case study of non-linear effects in a large cohort study.
    Lee KJ; Galati JC; Simpson JA; Carlin JB
    Stat Med; 2012 Dec; 31(30):4164-74. PubMed ID: 22826110
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Personal exposure to mixtures of volatile organic compounds: modeling and further analysis of the RIOPA data.
    Batterman S; Su FC; Li S; Mukherjee B; Jia C;
    Res Rep Health Eff Inst; 2014 Jun; (181):3-63. PubMed ID: 25145040
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.