Power analysis for cluster randomized trials with multiple binary co‐primary endpoints
Author
Abstract
Suggested Citation
DOI: 10.1111/biom.13212
Download full text from publisher
References listed on IDEAS
- repec:aph:ajpbhl:10.2105/ajph.2017.303707_9 is not listed on IDEAS
- Jijia Wang & Song Zhang & Chul Ahn, 2017. "Power analysis for stratified cluster randomisation trials with cluster size being the stratifying factor," Statistical Theory and Related Fields, Taylor & Francis Journals, vol. 1(1), pages 121-127, January.
- repec:aph:ajpbhl:10.2105/ajph.2017.303706_3 is not listed on IDEAS
- Murray, D.M. & Varnell, S.P. & Blitstein, J.L., 2004. "Design and Analysis of Group-Randomized Trials: A Review of Recent Methodological Developments," American Journal of Public Health, American Public Health Association, vol. 94(3), pages 423-432.
- Lloyd A. Mancl & Timothy A. DeRouen, 2001. "A Covariance Estimator for GEE with Improved Small‐Sample Properties," Biometrics, The International Biometric Society, vol. 57(1), pages 126-134, March.
- Fan Li & Elizabeth L. Turner & John S. Preisser, 2018. "Sample size determination for GEE analyses of stepped wedge cluster randomized trials," Biometrics, The International Biometric Society, vol. 74(4), pages 1450-1458, December.
- Kauermann G. & Carroll R.J., 2001. "A Note on the Efficiency of Sandwich Covariance Matrix Estimation," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1387-1396, December.
- Turner, E.L. & Li, F. & Gallis, J.A. & Prague, M. & Murray, D.M., 2017. "Review of recent methodological developments in group-randomized trials: Part 1 - Design," American Journal of Public Health, American Public Health Association, vol. 107(6), pages 907-915.
- Ji-Hyun Lee & Michael J Schell & Richard Roetzheim, 2009. "Analysis of Group Randomized Trials with Multiple Binary Endpoints and Small Number of Groups," PLOS ONE, Public Library of Science, vol. 4(10), pages 1-9, October.
- Turner, E.L. & Prague, M. & Gallis, J.A. & Li, F. & Murray, D.M., 2017. "Review of recent methodological developments in group-randomized trials: Part 2-analysis," American Journal of Public Health, American Public Health Association, vol. 107(7), pages 1078-1086.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Ryan Thompson & Catherine S. Forbes & Steven N. MacEachern & Mario Peruggia, 2022. "Familial Inference," Monash Econometrics and Business Statistics Working Papers 2/22, Monash University, Department of Econometrics and Business Statistics.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Westgate, Philip M., 2013. "A bias-corrected covariance estimator for improved inference when using an unstructured correlation with quadratic inference functions," Statistics & Probability Letters, Elsevier, vol. 83(6), pages 1553-1558.
- Paniagua, Victoria, 2022. "When clients vote for brokers: How elections improve public goods provision in urban slums," World Development, Elsevier, vol. 158(C).
- Fan, Chunpeng & Zhang, Donghui, 2014. "Wald-type rank tests: A GEE approach," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 1-16.
- Masahiko Gosho & Hisashi Noma & Kazushi Maruo, 2021. "Practical Review and Comparison of Modified Covariance Estimators for Linear Mixed Models in Small‐sample Longitudinal Studies with Missing Data," International Statistical Review, International Statistical Institute, vol. 89(3), pages 550-572, December.
- Cheng, Guang & Yu, Zhuqing & Huang, Jianhua Z., 2013. "The cluster bootstrap consistency in generalized estimating equations," Journal of Multivariate Analysis, Elsevier, vol. 115(C), pages 33-47.
- Hammill, Bradley G. & Preisser, John S., 2006. "A SAS/IML software program for GEE and regression diagnostics," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1197-1212, November.
- Di Shu & Jessica G. Young & Sengwee Toh & Rui Wang, 2021. "Variance estimation in inverse probability weighted Cox models," Biometrics, The International Biometric Society, vol. 77(3), pages 1101-1117, September.
- Jansen, Stefan & Nsabimana, Epaphrodite & Kagaba, Mediatrice & Mutabaruka, Jean & Rutembesa, Eugene & Slegh, Henny & Mihigo, Bonaventure & Mahwa, Aloys & Ruratotoye, Benoit & Haile, Zelalem, 2022. "A clustered randomized controlled trial to assess whether Living Peace Intervention (LPint) reduces domestic violence and its consequences among families of targeted men in Eastern Democratic Republic," Evaluation and Program Planning, Elsevier, vol. 95(C).
- Sara Sauer & Bethany Hedt‐Gauthier & Claudia Rivera‐Rodriguez & Sebastien Haneuse, 2022. "Small‐sample inference for cluster‐based outcome‐dependent sampling schemes in resource‐limited settings: Investigating low birthweight in Rwanda," Biometrics, The International Biometric Society, vol. 78(2), pages 701-715, June.
- Steven Teerenstra & Bing Lu & John S. Preisser & Theo van Achterberg & George F. Borm, 2010. "Sample Size Considerations for GEE Analyses of Three-Level Cluster Randomized Trials," Biometrics, The International Biometric Society, vol. 66(4), pages 1230-1237, December.
- Li, Fan & Turner, Elizabeth L. & Preisser, John S., 2018. "Optimal allocation of clusters in cohort stepped wedge designs," Statistics & Probability Letters, Elsevier, vol. 137(C), pages 257-263.
- Jonathan L. Blitstein & David M. Murray & Peter J. Hannan & William R. Shadish, 2005. "Increasing the Degrees of Freedom in Future Group Randomized Trials," Evaluation Review, , vol. 29(3), pages 268-286, June.
- Ji-Hyun Lee & William Fulp & Kristen J Wells & Cathy D Meade & Ercilia Calcano & Richard Roetzheim, 2013. "Patient Navigation and Time to Diagnostic Resolution: Results for a Cluster Randomized Trial Evaluating the Efficacy of Patient Navigation among Patients with Breast Cancer Screening Abnormalities, Ta," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-1, September.
- Siyun Yang & Mirjam Moerbeek & Monica Taljaard & Fan Li, 2023. "Power analysis for cluster randomized trials with continuous coprimary endpoints," Biometrics, The International Biometric Society, vol. 79(2), pages 1293-1305, June.
- Lam, Clifford & Fan, Jianqing, 2008. "Profile-kernel likelihood inference with diverging number of parameters," LSE Research Online Documents on Economics 31548, London School of Economics and Political Science, LSE Library.
- Federico Bugni & Ivan Canay & Azeem Shaikh & Max Tabord-Meehan, 2022. "Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes," Papers 2204.08356, arXiv.org, revised Apr 2024.
- Jonathan L. Blitstein & Peter J. Hannan & David M. Murray & William R. Shadish, 2005. "Increasing the Degrees of Freedom in Existing Group Randomized Trials," Evaluation Review, , vol. 29(3), pages 241-267, June.
- Carrillo, Paul E. & Onofa, Mercedes & Ponce, Juan, 2010.
"Information Technology and Student Achievement: Evidence from a Randomized Experiment in Ecuador,"
IDB Publications (Working Papers)
3094, Inter-American Development Bank.
- Paul Carrillo & Mercedes Onofa & Juan Ponce, 2011. "Information Technology and Student Achievement: Evidence from a Randomized Experiment in Ecuador," Research Department Publications 4698, Inter-American Development Bank, Research Department.
- A. Colin Cameron & Douglas L. Miller, 2010.
"Robust Inference with Clustered Data,"
Working Papers
106, University of California, Davis, Department of Economics.
- Colin Cameron, 2011. "Robust inference with clustered data," Mexican Stata Users' Group Meetings 2011 07, Stata Users Group.
- A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 107, University of California, Davis, Department of Economics.
- Weidner, Martin & Zylkin, Thomas, 2021.
"Bias and consistency in three-way gravity models,"
Journal of International Economics, Elsevier, vol. 132(C).
- Martin Weidner & Thomas Zylkin, 2019. "Bias and Consistency in Three-way Gravity Models," Papers 1909.01327, arXiv.org, revised Jun 2021.
- Martin Weidner & Thomas Zylkin, 2021. "Bias and consistency in three-way gravity models," CeMMAP working papers CWP11/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Martin Weidner & Thomas Zylkin, 2020. "Bias and Consistency in Three-way Gravity Models," CeMMAP working papers CWP1/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:76:y:2020:i:4:p:1064-1074. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.