Sample size calculation for cluster randomized cross-over trials
The cluster randomized cross‐over design has been proposed in particular because it prevents an imbalance that may bring into question the internal validity of parallel group cluster trials. We derived a sample size formula for continuous outcomes that takes into account both the intraclass correlat...
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| Veröffentlicht in: | Statistics in medicine 2008-11, Vol.27 (27), p.5578-5585 |
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| container_issue | 27 |
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| container_title | Statistics in medicine |
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| creator | Giraudeau, B. Ravaud, P. Donner, A. |
| description | The cluster randomized cross‐over design has been proposed in particular because it prevents an imbalance that may bring into question the internal validity of parallel group cluster trials. We derived a sample size formula for continuous outcomes that takes into account both the intraclass correlation coefficient (representing the clustering effect) and the interperiod correlation (induced by the cross‐over design). Copyright © 2008 John Wiley & Sons, Ltd. |
| doi_str_mv | 10.1002/sim.3383 |
| format | Article |
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We derived a sample size formula for continuous outcomes that takes into account both the intraclass correlation coefficient (representing the clustering effect) and the interperiod correlation (induced by the cross‐over design). 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Copyright © 2008 John Wiley & Sons, Ltd.</description><subject>Algorithms</subject><subject>Blood Glucose - analysis</subject><subject>Cluster Analysis</subject><subject>cluster randomized trial</subject><subject>common correlation model</subject><subject>Correlation analysis</subject><subject>cross-over</subject><subject>Cross-Over Studies</subject><subject>Data Interpretation, Statistical</subject><subject>Drug Therapy, Computer-Assisted</subject><subject>experimental design</subject><subject>Humans</subject><subject>Hypoglycemic Agents - administration & dosage</subject><subject>Insulin - administration & dosage</subject><subject>Intensive Care Units</subject><subject>Models, Statistical</subject><subject>Randomized Controlled Trials as Topic</subject><subject>Research Design</subject><subject>Sample Size</subject><subject>Time Factors</subject><subject>Validity</subject><issn>0277-6715</issn><issn>1097-0258</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10ElLxDAUB_AgijMu4CeQ4kG8VPOSJmlvLug4rgfXW8ikCXTsMiat26c3OkVB8PTg8ePPe3-ENgDvAsZkzxfVLqUpXUBDwJmIMWHpIhpiIkTMBbABWvF-ijEAI2IZDSDlCSecD9H-japmpYl88WEirUrdlaotmjqyjYt02fnWuMipOm-qIPJIu8b7uHkJ29YVqvRraMmGYdb7uYruTo5vj07ji-vR-OjgItYJwzQGywhga1LBmOBJQrTiE8MSYbLMUsqpBoZtDqBsQnGqOZ4IQwwQmoMVNKGraHueO3PNc2d8K6vCa1OWqjZN5yXPwp8pYwFu_YHTpnN1uE0SQoGmwQW0M0ff_zhj5cwVlXLvErD8qlSGSuVXpYFu9nndpDL5L-w7DCCeg9eiNO__Bsmb8WUf2PsilPv245V7klxQweTD1UhCcnZ7fnj_KDH9BNS3jTs</recordid><startdate>20081129</startdate><enddate>20081129</enddate><creator>Giraudeau, B.</creator><creator>Ravaud, P.</creator><creator>Donner, A.</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>7X8</scope></search><sort><creationdate>20081129</creationdate><title>Sample size calculation for cluster randomized cross-over trials</title><author>Giraudeau, B. ; Ravaud, P. ; Donner, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4503-1f5210fe875576442ca6be547e99f3363c150fd11af4308c60b7e2e123d1f7343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Algorithms</topic><topic>Blood Glucose - analysis</topic><topic>Cluster Analysis</topic><topic>cluster randomized trial</topic><topic>common correlation model</topic><topic>Correlation analysis</topic><topic>cross-over</topic><topic>Cross-Over Studies</topic><topic>Data Interpretation, Statistical</topic><topic>Drug Therapy, Computer-Assisted</topic><topic>experimental design</topic><topic>Humans</topic><topic>Hypoglycemic Agents - administration & dosage</topic><topic>Insulin - administration & dosage</topic><topic>Intensive Care Units</topic><topic>Models, Statistical</topic><topic>Randomized Controlled Trials as Topic</topic><topic>Research Design</topic><topic>Sample Size</topic><topic>Time Factors</topic><topic>Validity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Giraudeau, B.</creatorcontrib><creatorcontrib>Ravaud, P.</creatorcontrib><creatorcontrib>Donner, A.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Statistics in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Giraudeau, B.</au><au>Ravaud, P.</au><au>Donner, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sample size calculation for cluster randomized cross-over trials</atitle><jtitle>Statistics in medicine</jtitle><addtitle>Statist. 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| identifier | ISSN: 0277-6715 |
| ispartof | Statistics in medicine, 2008-11, Vol.27 (27), p.5578-5585 |
| issn | 0277-6715 1097-0258 |
| language | eng |
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| source | MEDLINE; Wiley Journals |
| subjects | Algorithms Blood Glucose - analysis Cluster Analysis cluster randomized trial common correlation model Correlation analysis cross-over Cross-Over Studies Data Interpretation, Statistical Drug Therapy, Computer-Assisted experimental design Humans Hypoglycemic Agents - administration & dosage Insulin - administration & dosage Intensive Care Units Models, Statistical Randomized Controlled Trials as Topic Research Design Sample Size Time Factors Validity |
| title | Sample size calculation for cluster randomized cross-over trials |
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