PC program for assessing the effect of a treatment when subjects are growing: the randomized parallel groups design
A method for separating the effects of a treatment from those of normal growth and development in the case of a randomized parallel groups design with pre- and post-treatment measures is described and implemented. The program allows the user to enter either summary statistics (published data are oft...
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Veröffentlicht in: | International journal of bio-medical computing 1994-10, Vol.37 (2), p.83-91 |
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container_title | International journal of bio-medical computing |
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creator | Kowalski, Charles J. Schneiderman, Emet D. Willis, Stephen M. |
description | A method for separating the effects of a treatment from those of normal growth and development in the case of a randomized parallel groups design with pre- and post-treatment measures is described and implemented. The program allows the user to enter either summary statistics (published data are often in this form), or the pre- and post-treatment measurements for each individual. The program is illustrated using data reflecting the extent to which a treatment can be expected to impede normal growth, but the method and program are more general than this. All that is required is that the measurement be one that normally increases over time. |
doi_str_mv | 10.1016/0020-7101(94)90131-7 |
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All that is required is that the measurement be one that normally increases over time.</description><subject>Analysis of Variance</subject><subject>Biological and medical sciences</subject><subject>Computerized, statistical medical data processing and models in biomedicine</subject><subject>Confidence Intervals</subject><subject>Growth</subject><subject>Growth - physiology</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Mathematical Computing</subject><subject>Medical sciences</subject><subject>Medical statistics</subject><subject>Microcomputers</subject><subject>PC program</subject><subject>Randomized Controlled Trials as Topic - statistics & numerical data</subject><subject>Randomized studies</subject><subject>Regression Analysis</subject><subject>Repeated measurements</subject><subject>Software</subject><subject>Treatment effects</subject><subject>User-Computer Interface</subject><issn>0020-7101</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1PxCAQhjloVl39B5pwMEYPVWhrKR5MzMavxEQPeiYUhhXTj5VpNfrrpbubPXoamPd9B-Yh5JCzc854ccFYyhIRj6cyP5OMZzwRW2R3094he4gf8ZqLPJuQiRDsspRyl-DLjC5CNw-6oa4LVCMCom_ntH8HCs6B6WnnqKZ9AN030Pb0-x1aikP1ETWkOgCdh-47Zq6WoaBb2zX-Fyxd6KDrGurRMCyQWkA_b_fJttM1wsG6Tsnb3e3r7CF5er5_nN08JSbP0j4xVVHk3DHJQVppS8ti5VWuoXKpLIxIDViWifQSNGdSVkVaVoK72ChdyatsSk5Wc-OCnwNgrxqPBupat9ANqIQQsihFFo35ymhChxjAqUXwjQ4_ijM18lUjSDWCVDJXS75KxNjRev5QNWA3oTXcqB-vdY1G1y6CMR43tixLC1aMr1-vbBBZfHkICo2HNi7nQySsbOf__8cfOm-Zzg</recordid><startdate>19941001</startdate><enddate>19941001</enddate><creator>Kowalski, Charles J.</creator><creator>Schneiderman, Emet D.</creator><creator>Willis, Stephen M.</creator><general>Elsevier B.V</general><general>Applied Science Publishers</general><scope>IQODW</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>7X8</scope></search><sort><creationdate>19941001</creationdate><title>PC program for assessing the effect of a treatment when subjects are growing: the randomized parallel groups design</title><author>Kowalski, Charles J. ; Schneiderman, Emet D. ; Willis, Stephen M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c432t-cb6641f091e9d9d8d0e9d1b4aebf296c72ced03725ea1099b628b71f7258f81b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Analysis of Variance</topic><topic>Biological and medical sciences</topic><topic>Computerized, statistical medical data processing and models in biomedicine</topic><topic>Confidence Intervals</topic><topic>Growth</topic><topic>Growth - physiology</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Mathematical Computing</topic><topic>Medical sciences</topic><topic>Medical statistics</topic><topic>Microcomputers</topic><topic>PC program</topic><topic>Randomized Controlled Trials as Topic - statistics & numerical data</topic><topic>Randomized studies</topic><topic>Regression Analysis</topic><topic>Repeated measurements</topic><topic>Software</topic><topic>Treatment effects</topic><topic>User-Computer Interface</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kowalski, Charles J.</creatorcontrib><creatorcontrib>Schneiderman, Emet D.</creatorcontrib><creatorcontrib>Willis, Stephen M.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of bio-medical computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kowalski, Charles J.</au><au>Schneiderman, Emet D.</au><au>Willis, Stephen M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PC program for assessing the effect of a treatment when subjects are growing: the randomized parallel groups design</atitle><jtitle>International journal of bio-medical computing</jtitle><addtitle>Int J Biomed Comput</addtitle><date>1994-10-01</date><risdate>1994</risdate><volume>37</volume><issue>2</issue><spage>83</spage><epage>91</epage><pages>83-91</pages><issn>0020-7101</issn><coden>IJBCBT</coden><abstract>A method for separating the effects of a treatment from those of normal growth and development in the case of a randomized parallel groups design with pre- and post-treatment measures is described and implemented. 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subjects | Analysis of Variance Biological and medical sciences Computerized, statistical medical data processing and models in biomedicine Confidence Intervals Growth Growth - physiology Humans Longitudinal Studies Mathematical Computing Medical sciences Medical statistics Microcomputers PC program Randomized Controlled Trials as Topic - statistics & numerical data Randomized studies Regression Analysis Repeated measurements Software Treatment effects User-Computer Interface |
title | PC program for assessing the effect of a treatment when subjects are growing: the randomized parallel groups design |
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