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 *

132 related articles for article (PubMed ID: 35531926)

  • 1. Power analysis for cluster randomized trials with continuous coprimary endpoints.
    Yang S; Moerbeek M; Taljaard M; Li F
    Biometrics; 2023 Jun; 79(2):1293-1305. PubMed ID: 35531926
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Design and analysis of cluster randomized trials with time-to-event outcomes under the additive hazards mixed model.
    Blaha O; Esserman D; Li F
    Stat Med; 2022 Oct; 41(24):4860-4885. PubMed ID: 35908796
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Power analyses for stepped wedge designs with multivariate continuous outcomes.
    Davis-Plourde K; Taljaard M; Li F
    Stat Med; 2023 Feb; 42(4):559-578. PubMed ID: 36565050
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. An imbalance in cluster sizes does not lead to notable loss of power in cross-sectional, stepped-wedge cluster randomised trials with a continuous outcome.
    Kristunas CA; Smith KL; Gray LJ
    Trials; 2017 Mar; 18(1):109. PubMed ID: 28270224
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Sample size requirements for testing treatment effect heterogeneity in cluster randomized trials with binary outcomes.
    Maleyeff L; Wang R; Haneuse S; Li F
    Stat Med; 2023 Nov; 42(27):5054-5083. PubMed ID: 37974475
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Sample size requirements for detecting treatment effect heterogeneity in cluster randomized trials.
    Yang S; Li F; Starks MA; Hernandez AF; Mentz RJ; Choudhury KR
    Stat Med; 2020 Dec; 39(28):4218-4237. PubMed ID: 32823372
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Power analysis for cluster randomized trials with multiple binary co-primary endpoints.
    Li D; Cao J; Zhang S
    Biometrics; 2020 Dec; 76(4):1064-1074. PubMed ID: 31872435
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Relative efficiency of equal versus unequal cluster sizes in cluster randomized trials with a small number of clusters.
    Liu J; Xiong C; Liu L; Wang G; Jingqin L; Gao F; Chen L; Li Y
    J Biopharm Stat; 2021 Mar; 31(2):191-206. PubMed ID: 32970522
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparing denominator degrees of freedom approximations for the generalized linear mixed model in analyzing binary outcome in small sample cluster-randomized trials.
    Li P; Redden DT
    BMC Med Res Methodol; 2015 Apr; 15():38. PubMed ID: 25899170
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Power calculation for cross-sectional stepped wedge cluster randomized trials with variable cluster sizes.
    Harrison LJ; Chen T; Wang R
    Biometrics; 2020 Sep; 76(3):951-962. PubMed ID: 31625596
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Sample size considerations for stratified cluster randomization design with binary outcomes and varying cluster size.
    Xu X; Zhu H; Ahn C
    Stat Med; 2019 Aug; 38(18):3395-3404. PubMed ID: 31033011
    [TBL] [Abstract][Full Text] [Related]  

  • 13. swdpwr: A SAS macro and an R package for power calculations in stepped wedge cluster randomized trials.
    Chen J; Zhou X; Li F; Spiegelman D
    Comput Methods Programs Biomed; 2022 Jan; 213():106522. PubMed ID: 34818620
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Sample size calculation in hierarchical
    Tian Z; Esserman D; Tong G; Blaha O; Dziura J; Peduzzi P; Li F
    Stat Med; 2022 Feb; 41(4):645-664. PubMed ID: 34978097
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneity.
    Tong G; Esserman D; Li F
    Stat Med; 2022 Apr; 41(8):1376-1396. PubMed ID: 34923655
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Power and sample size calculations for cluster randomized trials with binary outcomes when intracluster correlation coefficients vary by treatment arm.
    Kennedy-Shaffer L; Hughes MD
    Clin Trials; 2022 Feb; 19(1):42-51. PubMed ID: 34879711
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Incorporating pragmatic features into power analysis for cluster randomized trials with a count outcome.
    Li D; Zhang S; Cao J
    Stat Med; 2020 Nov; 39(27):4037-4050. PubMed ID: 33165949
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation.
    Li F; Tong G
    Biom J; 2021 Jun; 63(5):1052-1071. PubMed ID: 33751620
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Power calculation for detecting interaction effect in cross-sectional stepped-wedge cluster randomized trials: an important tool for disparity research.
    Yang C; Berkalieva A; Mazumdar M; Kwon D
    BMC Med Res Methodol; 2024 Mar; 24(1):57. PubMed ID: 38431550
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluating tests for cluster-randomized trials with few clusters under generalized linear mixed models with covariate adjustment: A simulation study.
    Qiu H; Cook AJ; Bobb JF
    Stat Med; 2024 Jan; 43(2):201-215. PubMed ID: 37933766
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.