Implementation of exact and approximate randomization tests for polynomial growth curves
dc.contributor.author | Schneiderman, Emet D. | en_US |
dc.contributor.author | Willis, Stephen M. | en_US |
dc.contributor.author | Kowalski, Charles J. | en_US |
dc.contributor.author | Guo, Ingrid Y. | en_US |
dc.date.accessioned | 2006-04-10T18:02:16Z | |
dc.date.available | 2006-04-10T18:02:16Z | |
dc.date.issued | 1994-07 | en_US |
dc.identifier.citation | Schneiderman, Emet D., Willis, Stephen M., Kowalski, Charles J., Guo, Ingrid Y. (1994/07)."Implementation of exact and approximate randomization tests for polynomial growth curves." International Journal of Bio-Medical Computing 36(3): 187-192. <http://hdl.handle.net/2027.42/31469> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B7GH2-4C4WG92-4Y/2/8080465837ef98e40abfe7d5d86f3246 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/31469 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=7960203&dopt=citation | en_US |
dc.description.abstract | Two stand-alone, menu-driven PC programs, written in GAUSS386i, which compare groups of growth curves in a completely randomized design using either (a) exact or (b) approximate randomization tests, are described, illustrated, and made available to interested readers. The programs accomodate missing data in the context of studies planned to have common times of measurement, but where some of the measurement sequences are incomplete. The measurement whose growth is being monitored need not have a Gaussian distribution. We consider the hypothesis that the mean growth curves in G groups are the same; and either compute the exact P value (exact test), or estimate, and provide a confidence interval for, the P value (approximate test). | en_US |
dc.format.extent | 590997 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Implementation of exact and approximate randomization tests for polynomial growth curves | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbsecondlevel | West European Studies | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Humanities | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biologic and Materials Sciences and The Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, MI 48109, USA | en_US |
dc.contributor.affiliationother | Department of Oral and Maxillofacial Surgery and Pharmacology, Baylor College of Dentistry, Dallas, TX 75266-0677, USA | en_US |
dc.contributor.affiliationother | Department of Oral and Maxillofacial Surgery and Pharmacology, Baylor College of Dentistry, Dallas, TX 75266-0677, USA | en_US |
dc.contributor.affiliationother | Department of Public Health Sciences, Baylor College of Dentistry, Dallas, TX 75266-0677, USA | en_US |
dc.identifier.pmid | 7960203 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/31469/1/0000391.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0020-7101(94)90053-1 | en_US |
dc.identifier.source | International Journal of Bio-Medical Computing | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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