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.
3. Optimal designs in three-level cluster randomized trials with a binary outcome. Liu J; Liu L; Colditz GA Stat Med; 2019 Sep; 38(20):3733-3746. PubMed ID: 31162709 [TBL] [Abstract][Full Text] [Related]
4. An overview of optimal designs under a given budget in cluster randomized trials with a binary outcome. Liu J; Liu L; James AS; Colditz GA Stat Methods Med Res; 2023 Jul; 32(7):1420-1441. PubMed ID: 37284817 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. Optimal designs using generalized estimating equations in cluster randomized crossover and stepped wedge trials. Liu J; Li F Stat Methods Med Res; 2024 Aug; 33(8):1299-1330. PubMed ID: 38813761 [TBL] [Abstract][Full Text] [Related]
7. Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances. Tong G; Taljaard M; Li F Stat Med; 2023 Aug; 42(19):3392-3412. PubMed ID: 37316956 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Optimal design of longitudinal data analysis using generalized estimating equation models. Liu J; Colditz GA Biom J; 2017 Mar; 59(2):315-330. PubMed ID: 27878852 [TBL] [Abstract][Full Text] [Related]
11. Maximin design of cluster randomized trials with heterogeneous costs and variances. van Breukelen GJP; Candel MJJM Biom J; 2021 Oct; 63(7):1444-1463. PubMed ID: 34247406 [TBL] [Abstract][Full Text] [Related]
12. 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]
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. Efficient design of cluster randomized and multicentre trials with unknown intraclass correlation. van Breukelen GJ; Candel MJ Stat Methods Med Res; 2015 Oct; 24(5):540-56. PubMed ID: 21937473 [TBL] [Abstract][Full Text] [Related]
15. Maximin optimal designs for cluster randomized trials. Wu S; Wong WK; Crespi CM Biometrics; 2017 Sep; 73(3):916-926. PubMed ID: 28182835 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Sample size and power calculation for testing treatment effect heterogeneity in cluster randomized crossover designs. Wang X; Chen X; Goldfeld KS; Taljaard M; Li F Stat Methods Med Res; 2024 Jul; 33(7):1115-1136. PubMed ID: 38689556 [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. 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]