Assessing the effect of a treatment when subjects are growing at different rates
dc.contributor.author | Kowalski, Charles J. | en_US |
dc.contributor.author | Schneiderman, Emet D. | en_US |
dc.contributor.author | Willis, Stephen M. | en_US |
dc.date.accessioned | 2006-04-10T17:51:22Z | |
dc.date.available | 2006-04-10T17:51:22Z | |
dc.date.issued | 1994-10 | en_US |
dc.identifier.citation | Kowalski, Charles J., Schneiderman, Emet D., Willis, Stephen M. (1994/10)."Assessing the effect of a treatment when subjects are growing at different rates." International Journal of Bio-Medical Computing 37(2): 151-159. <http://hdl.handle.net/2027.42/31282> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B7GH2-4C30249-8/2/a76b0a32420aa3c917b2d1e2a903aa54 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/31282 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=7705895&dopt=citation | en_US |
dc.description.abstract | The analysis of covariance is often used in the context of premeasure/postmeasure designs to compare treatment and control groups in both randomized [1] and nonrandomized [2] studies. The intent is to adjust the difference between the changes in the 2 groups for any difference which might exist at baseline, i.e., for any difference between the premeasures in the 2 groups. An important assumption underlying the use of the analysis of covariance is that the slopes of the lines for the regression of the postmeasure on the premeasure in the 2 groups are equal. In this paper we describe a program which can be used to test the hypothesis of equal slopes; and performs an alternative analysis which does not depend on this assumption. This is done in the context of comparing treatment and control groups with respect to a measurement subject to natural maturation as in [3]. Equal slopes in this context means equal growth rates; unequal slopes implies that the 2 groups are growing at different rates. The method, known as the Johnson-Neyman procedure [4] is, however, more general than this, and can be used in any two-sample comparison where an alternative to the usual analysis of covariance is deemed appropriate. The procedure identifies a `region of significance' which is especially useful in practice. This region consists of a set of values of the premeasure for which the treatment and the control groups are significantly different with respect to the postmeasure. | en_US |
dc.format.extent | 555548 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 | Assessing the effect of a treatment when subjects are growing at different rates | 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, Dental School, and The Center for Statistical Consultation and Research, The 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, PO Box 660677, Dallas, TX 75266-0677, USA | en_US |
dc.contributor.affiliationother | Department of Oral and Maxillofacial Surgery and Pharmacology, Baylor College of Dentistry, PO Box 660677, Dallas, TX 75266-0677, USA | en_US |
dc.identifier.pmid | 7705895 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/31282/1/0000188.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0020-7101(94)90137-6 | en_US |
dc.identifier.source | International Journal of Bio-Medical Computing | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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