View Item 

Show simple item record

Sample size determination for quadratic inference functions in longitudinal design with dichotomous outcomes
dc.contributor.authorHu, Younaen_US
dc.contributor.authorSong, Peter X.‐k.en_US
dc.date.accessioned2012-04-04T18:43:19Z
dc.date.available2013-06-11T19:15:43Zen_US
dc.date.issued2012-04-13en_US
dc.identifier.citationHu, Youna; Song, Peter X.‐k. (2012). "Sample size determination for quadratic inference functions in longitudinal design with dichotomous outcomes." Statistics in Medicine 31(8): 787-800. <http://hdl.handle.net/2027.42/90565>en_US
dc.identifier.issn0277-6715en_US
dc.identifier.issn1097-0258en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/90565
dc.publisherJohn Wiley & Sons, Ltden_US
dc.subject.otherGEEen_US
dc.subject.otherMarginal Modelen_US
dc.subject.otherPoweren_US
dc.subject.otherAverage Risken_US
dc.subject.otherClinical Trialen_US
dc.subject.otherCorrelation Structureen_US
dc.titleSample size determination for quadratic inference functions in longitudinal design with dichotomous outcomesen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.identifier.pmid22362611en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/90565/1/sim4458.pdf
dc.identifier.doi10.1002/sim.4458en_US
dc.identifier.sourceStatistics in Medicineen_US
dc.identifier.citedreferenceDiggle P, Heagerty P, Liang K‐Y, Zeger S. Analysis of Longitudinal Data. Oxford University Press: New York, 2002.en_US
dc.identifier.citedreferenceSong PXK. Correlated Data Analysis. Springer: New York, 2007.en_US
dc.identifier.citedreferenceLiang KY, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrics 1986; 73: 13 – 22.en_US
dc.identifier.citedreferencePan W. Sample size and power calculation with correlated binary data. Controlled Clinical Trials 2001; 22: 211 – 227.en_US
dc.identifier.citedreferenceJung S‐H, Ahn C. Sample size estimation for GEE method for comparing slopes in repeated measurement data. Statistics in Medicine 2003; 22: 1305 – 1315.en_US
dc.identifier.citedreferenceRochon J. Application of GEE procedures for sample size calculations in repeated measures experiments. Statistics in Medicine 1998; 98 ( E2 ): 3247 – 3259.en_US
dc.identifier.citedreferenceQu A, Lindsay BG, Li B. Improving generalised estimating equations using quadratic inference function. Biometrika 2000; 87 ( 4 ): 823 – 836.en_US
dc.identifier.citedreferenceSong PXK, Jiang Z, Park E, Qu A. Quadratic inference functions in marginal models for longitudinal data. Statistics in medicine 2009; 28 ( 29 ): 3683 – 3696.en_US
dc.identifier.citedreferenceDemidenko E. Sample size determination for logistic regression revisited. Statistics in Medicine 2006; 26 ( 18 ).en_US
dc.identifier.citedreferenceHsieh FY, Bloch DA, Larsen MD. A simple method of sample size calculation for linear and logistic regression. Statistics in Medicine July 1998; 17 ( 14 ): 1623 – 34.en_US
dc.identifier.citedreferenceHansen L. Large sample properties of generalized method of moments estimators. Econometrica 1982; 50: 1029 – 54.en_US
dc.identifier.citedreferenceTeerenstra S, Lu B, Preisser JS, van Achterberg T, Borm GF. Sample size considerations for GEE analyses of three‐level cluster randomized trials. Biometrics 2010.en_US
dc.identifier.citedreferenceOverall JE, Tonidandel S. Robustness of generalize estimation equation (GEE) test of significance against misspecification of the error structure model. Biometrics 2004.en_US
dc.identifier.citedreferencePan W. Akaike's information criterion in generalized estimating equations. Biometrics 2001; 57: 120 – 125.en_US
dc.identifier.citedreferenceWhite H. A heteroskedasticity‐consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica 1980; 48: 817 – 838.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
sim4458.pdf
Size:
635.1KB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.