Diagnostic Tests for Similar Action of Two Compounds
This paper proposes a class of diagnostic tests for the hypothesis of simple similar action of two drugs. The likelihood score test is shown to have a useful interpretation as the usual test for adding a variable to an appropriate weighted linear regression. This suggests use of the corresponding ad...
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| Veröffentlicht in: | Applied Statistics 1988-01, Vol.37 (1), p.39-50 |
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| container_title | Applied Statistics |
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| creator | Giltinan, D. M. Capizzi, T. P. Malani, H. |
| description | This paper proposes a class of diagnostic tests for the hypothesis of simple similar action of two drugs. The likelihood score test is shown to have a useful interpretation as the usual test for adding a variable to an appropriate weighted linear regression. This suggests use of the corresponding added variable plot as an auxiliary diagnostic. A detailed exposition is given for the situation of a continuous response with normal errors and for the quantal response case assuming binomial variation. The proposed methods are illustrated using data involving mixtures of two forms of insulin and data from an experiment to study the joint administration of two insecticides. |
| doi_str_mv | 10.2307/2347492 |
| format | Article |
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The proposed methods are illustrated using data involving mixtures of two forms of insulin and data from an experiment to study the joint administration of two insecticides.</description><identifier>ISSN: 0035-9254</identifier><identifier>EISSN: 1467-9876</identifier><identifier>DOI: 10.2307/2347492</identifier><language>eng</language><publisher>London: Royal Statistical Society</publisher><subject>Added variable plot ; Antagonism ; Datasets ; Dosage ; Generalised non‐linear model ; Insecticides ; Insulin ; Joint action ; Likelihood ratio ; Linear regression ; Maximum likelihood estimators ; Medical diagnostic tests ; Parametric models ; Score test ; Statistics ; Synergism</subject><ispartof>Applied Statistics, 1988-01, Vol.37 (1), p.39-50</ispartof><rights>Copyright Royal Statistical Society</rights><rights>1988 Royal Statistical Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2340-2b2a971716e370e185685f6b3e8c5d2ee30028c4e93df49d9540f517dbf9a58b3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/2347492$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/2347492$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,832,4024,27869,27923,27924,27925,58017,58021,58250,58254</link.rule.ids></links><search><creatorcontrib>Giltinan, D. 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The proposed methods are illustrated using data involving mixtures of two forms of insulin and data from an experiment to study the joint administration of two insecticides.</description><subject>Added variable plot</subject><subject>Antagonism</subject><subject>Datasets</subject><subject>Dosage</subject><subject>Generalised non‐linear model</subject><subject>Insecticides</subject><subject>Insulin</subject><subject>Joint action</subject><subject>Likelihood ratio</subject><subject>Linear regression</subject><subject>Maximum likelihood estimators</subject><subject>Medical diagnostic tests</subject><subject>Parametric models</subject><subject>Score test</subject><subject>Statistics</subject><subject>Synergism</subject><issn>0035-9254</issn><issn>1467-9876</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1988</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><recordid>eNp1kEtLAzEUhYMoWKv4FwIKrqbevJNlGZ9QEGxdD_NIJKWd1GRK6b83Mt16N2fznXMPB6FbAjPKQD1SxhU39AxNCJeqMFrJczQBYKIwVPBLdJXSGvIR4BPEn3z93Yc0-BavbBoSdiHipd_6TR3xvB186HFweHUIuAzbXdj3XbpGF67eJHtz0in6enlelW_F4uP1vZwvijaXgII2tDaKKCItU2CJFlILJxtmdSs6ai0DoLrl1rDOcdMZwcEJorrGmVrohk3R3Zi7i-Fnn9tV67CPfX5ZEWqMVFQzmamHkWpjSClaV-2i39bxWBGo_iapTpNkcjaSB7-xx_-w6nO5LIECh2y4Hw3rNIT4b-4vp2ppag</recordid><startdate>19880101</startdate><enddate>19880101</enddate><creator>Giltinan, D. 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M. ; Capizzi, T. P. ; Malani, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2340-2b2a971716e370e185685f6b3e8c5d2ee30028c4e93df49d9540f517dbf9a58b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1988</creationdate><topic>Added variable plot</topic><topic>Antagonism</topic><topic>Datasets</topic><topic>Dosage</topic><topic>Generalised non‐linear model</topic><topic>Insecticides</topic><topic>Insulin</topic><topic>Joint action</topic><topic>Likelihood ratio</topic><topic>Linear regression</topic><topic>Maximum likelihood estimators</topic><topic>Medical diagnostic tests</topic><topic>Parametric models</topic><topic>Score test</topic><topic>Statistics</topic><topic>Synergism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Giltinan, D. M.</creatorcontrib><creatorcontrib>Capizzi, T. P.</creatorcontrib><creatorcontrib>Malani, H.</creatorcontrib><collection>CrossRef</collection><collection>Periodicals Index Online Segment 05</collection><collection>Periodicals Index Online Segment 12</collection><collection>Periodicals Index Online Segment 28</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><jtitle>Applied Statistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Giltinan, D. M.</au><au>Capizzi, T. P.</au><au>Malani, H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic Tests for Similar Action of Two Compounds</atitle><jtitle>Applied Statistics</jtitle><date>1988-01-01</date><risdate>1988</risdate><volume>37</volume><issue>1</issue><spage>39</spage><epage>50</epage><pages>39-50</pages><issn>0035-9254</issn><eissn>1467-9876</eissn><abstract>This paper proposes a class of diagnostic tests for the hypothesis of simple similar action of two drugs. The likelihood score test is shown to have a useful interpretation as the usual test for adding a variable to an appropriate weighted linear regression. This suggests use of the corresponding added variable plot as an auxiliary diagnostic. A detailed exposition is given for the situation of a continuous response with normal errors and for the quantal response case assuming binomial variation. The proposed methods are illustrated using data involving mixtures of two forms of insulin and data from an experiment to study the joint administration of two insecticides.</abstract><cop>London</cop><pub>Royal Statistical Society</pub><doi>10.2307/2347492</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0035-9254 |
| ispartof | Applied Statistics, 1988-01, Vol.37 (1), p.39-50 |
| issn | 0035-9254 1467-9876 |
| language | eng |
| recordid | cdi_proquest_journals_1299672836 |
| source | Periodicals Index Online; JSTOR Mathematics & Statistics; EBSCOhost Business Source Complete; JSTOR Archive Collection A-Z Listing |
| subjects | Added variable plot Antagonism Datasets Dosage Generalised non‐linear model Insecticides Insulin Joint action Likelihood ratio Linear regression Maximum likelihood estimators Medical diagnostic tests Parametric models Score test Statistics Synergism |
| title | Diagnostic Tests for Similar Action of Two Compounds |
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