ANALYSIS OF PANEL DATA WITH CHANGE-POINTS
In many experiments data are collected over time or space, on a number of subjects or sites. In medical experiments, for example, it is often of interest to know if the introduction of an intervention, such as the administration of a drug, affects the distribution of a certain variable recorded seve...
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| Veröffentlicht in: | Statistica Sinica 1997-07, Vol.7 (3), p.687-703 |
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| container_title | Statistica Sinica |
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| creator | Joseph, Lawrence Wolfson, David B. du Berger, Roxane Lyle, Roseann M. |
| description | In many experiments data are collected over time or space, on a number of subjects or sites. In medical experiments, for example, it is often of interest to know if the introduction of an intervention, such as the administration of a drug, affects the distribution of a certain variable recorded several times over the course of the trial. In such investigations, each patient generates a sequence of data which may or may not contain a change in distribution at some point in time. Different subjects within a given population may react differently to the intervention. Each sequence can be viewed as a sample path from a stochastic process. The main aim of this paper is to show how the ensemble of sample paths may be used to make inference about the distribution of the times or locations of change. |
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In medical experiments, for example, it is often of interest to know if the introduction of an intervention, such as the administration of a drug, affects the distribution of a certain variable recorded several times over the course of the trial. In such investigations, each patient generates a sequence of data which may or may not contain a change in distribution at some point in time. Different subjects within a given population may react differently to the intervention. Each sequence can be viewed as a sample path from a stochastic process. The main aim of this paper is to show how the ensemble of sample paths may be used to make inference about the distribution of the times or locations of change.</description><identifier>ISSN: 1017-0405</identifier><identifier>EISSN: 1996-8507</identifier><language>eng</language><publisher>Institute of Statistical Science, Academia Sinica and International Chinese Statistical Association</publisher><subject>Blood pressure ; Calcium ; Data sampling ; Foams ; Inference ; Mathematical independent variables ; Parametric models ; Placebos ; Random variables ; Sampling distributions</subject><ispartof>Statistica Sinica, 1997-07, Vol.7 (3), p.687-703</ispartof><rights>1997 Statistica Sinica</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/24306116$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/24306116$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,777,781,800,829,57998,58002,58231,58235</link.rule.ids></links><search><creatorcontrib>Joseph, Lawrence</creatorcontrib><creatorcontrib>Wolfson, David B.</creatorcontrib><creatorcontrib>du Berger, Roxane</creatorcontrib><creatorcontrib>Lyle, Roseann M.</creatorcontrib><title>ANALYSIS OF PANEL DATA WITH CHANGE-POINTS</title><title>Statistica Sinica</title><description>In many experiments data are collected over time or space, on a number of subjects or sites. 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The main aim of this paper is to show how the ensemble of sample paths may be used to make inference about the distribution of the times or locations of change.</description><subject>Blood pressure</subject><subject>Calcium</subject><subject>Data sampling</subject><subject>Foams</subject><subject>Inference</subject><subject>Mathematical independent variables</subject><subject>Parametric models</subject><subject>Placebos</subject><subject>Random variables</subject><subject>Sampling distributions</subject><issn>1017-0405</issn><issn>1996-8507</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNotjkFrwjAYQMPYQHH-BCHXHQLflzT5mmPoqi2UVmjH8CSxSUDZUFov-_cTttN7p8d7Yku01ohcAz0_HJAEZKAXbD3P5xOABY05qCV7c61rDn3d827L964tG_7uBsc_66HiReXaXSn2Xd0O_St7Sf5rjut_rtjHthyKSjTdri5cIy5I-i4QKVPGk4mW8qh18Gn0YCkLQUupkicZEuJjII7aSh2BAqnRpxCCCblRK7b5617m-3U63qbzt59-jjJTYBCN-gUslDf5</recordid><startdate>19970701</startdate><enddate>19970701</enddate><creator>Joseph, Lawrence</creator><creator>Wolfson, David B.</creator><creator>du Berger, Roxane</creator><creator>Lyle, Roseann M.</creator><general>Institute of Statistical Science, Academia Sinica and International Chinese Statistical Association</general><scope/></search><sort><creationdate>19970701</creationdate><title>ANALYSIS OF PANEL DATA WITH CHANGE-POINTS</title><author>Joseph, Lawrence ; Wolfson, David B. ; du Berger, Roxane ; Lyle, Roseann M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-j175t-117436a76e978e55dafca0974dd5223fa72df11905ec5925e07d73cafddd6d863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Blood pressure</topic><topic>Calcium</topic><topic>Data sampling</topic><topic>Foams</topic><topic>Inference</topic><topic>Mathematical independent variables</topic><topic>Parametric models</topic><topic>Placebos</topic><topic>Random variables</topic><topic>Sampling distributions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Joseph, Lawrence</creatorcontrib><creatorcontrib>Wolfson, David B.</creatorcontrib><creatorcontrib>du Berger, Roxane</creatorcontrib><creatorcontrib>Lyle, Roseann M.</creatorcontrib><jtitle>Statistica Sinica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Joseph, Lawrence</au><au>Wolfson, David B.</au><au>du Berger, Roxane</au><au>Lyle, Roseann M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ANALYSIS OF PANEL DATA WITH CHANGE-POINTS</atitle><jtitle>Statistica Sinica</jtitle><date>1997-07-01</date><risdate>1997</risdate><volume>7</volume><issue>3</issue><spage>687</spage><epage>703</epage><pages>687-703</pages><issn>1017-0405</issn><eissn>1996-8507</eissn><abstract>In many experiments data are collected over time or space, on a number of subjects or sites. In medical experiments, for example, it is often of interest to know if the introduction of an intervention, such as the administration of a drug, affects the distribution of a certain variable recorded several times over the course of the trial. In such investigations, each patient generates a sequence of data which may or may not contain a change in distribution at some point in time. Different subjects within a given population may react differently to the intervention. Each sequence can be viewed as a sample path from a stochastic process. The main aim of this paper is to show how the ensemble of sample paths may be used to make inference about the distribution of the times or locations of change.</abstract><pub>Institute of Statistical Science, Academia Sinica and International Chinese Statistical Association</pub><tpages>17</tpages></addata></record> |
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| ispartof | Statistica Sinica, 1997-07, Vol.7 (3), p.687-703 |
| issn | 1017-0405 1996-8507 |
| language | eng |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; JSTOR Mathematics & Statistics; Jstor Complete Legacy |
| subjects | Blood pressure Calcium Data sampling Foams Inference Mathematical independent variables Parametric models Placebos Random variables Sampling distributions |
| title | ANALYSIS OF PANEL DATA WITH CHANGE-POINTS |
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