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Spatiotemporal Correlation Analysis of Colorectal Cancer Late-Stage Incidence, Mortality, and Survival: Iowa, 1999 to 2010.- [electronic resource] : Matthews, Kevin Andrew.
Spatiotemporal Correlation Analysis of Colorectal Cancer Late-Stage Incidence, Mortality, ...
Spatiotemporal Correlation Analysis of Colorectal Cancer Late-Stage Incidence, Mortality, and Survival: Iowa, 1999 to 2010.- [electronic resource] : Matthews, Kevin Andrew.

상세정보

자료유형  
 학위논문(국외)
청구기호  
저자명  
서명/저자  
Spatiotemporal Correlation Analysis of Colorectal Cancer Late-Stage Incidence, Mortality, and Survival: Iowa, 1999 to 2010. - [electronic resource] : Matthews, Kevin Andrew.
발행사항  
[S.l.] : The University of Iowa. , 2018
    발행사항  
    Ann Arbor : ProQuest Dissertations & Theses , 2018
      형태사항  
      1 online resource(121 p.)
      주기사항  
      Source: Dissertation Abstracts International, Volume: 80-02(E), Section: A.
      주기사항  
      Advisers: Margaret Carrel
      학위논문주기  
      Thesis (Ph.D.)--The University of Iowa, 2018.
      초록/해제  
      요약This study of the spatiotemporal patterns of colorectal cancer (CRC) in Iowa introduced the importance of examining the geographic patterns of four epidemiological measures (incidence, late-stage incidence, mortality, and survival) as inter-rela
      초록/해제  
      요약This framework is based on geographic units called spatially adaptive filter areas.which effectively address the small number problem. This common spatial epidemiology problem occurs when the population in a unit of geography is too small to cal
      초록/해제  
      요약Conducting spatiotemporal analysis magnifies the small number problem because stratifying disease data by time further reduces the sample sizes in each period, thus increasing the potential for unreliable disease rates. This spatiotemporal frame
      초록/해제  
      요약We applied the spatiotemporal framework to colorectal cancer data collected in the state of Iowa between 1999 and 2010. Using rates calculated in spatial filter areas, we found that the proportion of cases diagnosed at a late-stage among the pop
      일반주제명  
      일반주제명  
      일반주제명  
      기타저자  
      기본자료저록  
      Dissertation Abstracts International. 80-02A(E).
      기본자료저록  
      Dissertation Abstract International
      전자적 위치 및 접속  
       원문정보보기
      소장사항  
      201812 2019

      MARC

       008190529s2018        ulk          s          00        eng
      ■001000014998320
      ■00520190102171931
      ■007cr
      ■020    ▼a9780438382336
      ■035    ▼a(MiAaPQ)AAI10817080
      ■035    ▼a(MiAaPQ)uiowa:15802
      ■040    ▼aMiAaPQ▼cMiAaPQ
      ■0820  ▼a910
      ■090    ▼a전자도서(박사논문)
      ■1001  ▼aMatthews,  Kevin  Andrew.
      ■24510▼aSpatiotemporal  Correlation  Analysis  of  Colorectal  Cancer  Late-Stage  Incidence,  Mortality,  and  Survival:  Iowa,  1999  to  2010.▼h[electronic  resource]▼cMatthews,  Kevin  Andrew.
      ■260    ▼a[S.l.]▼bThe  University  of  Iowa.  ▼c2018
      ■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2018
      ■300    ▼a1  online  resource(121  p.)
      ■500    ▼aSource:  Dissertation  Abstracts  International,  Volume:  80-02(E),  Section:  A.
      ■500    ▼aAdvisers:  Margaret  Carrel
      ■5021  ▼aThesis  (Ph.D.)--The  University  of  Iowa,  2018.
      ■520    ▼aThis  study  of  the  spatiotemporal  patterns  of  colorectal  cancer  (CRC)  in  Iowa  introduced  the  importance  of  examining  the  geographic  patterns  of  four  epidemiological  measures  (incidence,  late-stage  incidence,  mortality,  and  survival)  as  inter-rela
      ■520    ▼aThis  framework  is  based  on  geographic  units  called  spatially  adaptive  filter  areas.which  effectively  address  the  small  number  problem.  This  common  spatial  epidemiology  problem  occurs  when  the  population  in  a  unit  of  geography  is  too  small  to  cal
      ■520    ▼aConducting  spatiotemporal  analysis  magnifies  the  small  number  problem  because  stratifying  disease  data  by  time  further  reduces  the  sample  sizes  in  each  period,  thus  increasing  the  potential  for  unreliable  disease  rates.  This  spatiotemporal  frame
      ■520    ▼aWe  applied  the  spatiotemporal  framework  to  colorectal  cancer  data  collected  in  the  state  of  Iowa  between  1999  and  2010.  Using  rates  calculated  in  spatial  filter  areas,  we  found  that  the  proportion  of  cases  diagnosed  at  a  late-stage  among  the  pop
      ■590    ▼aSchool  code:  0096.
      ■650  4▼aGeography.
      ■650  4▼aEpidemiology.
      ■650  4▼aHealth  sciences.
      ■690    ▼a0366
      ■690    ▼a0766
      ■690    ▼a0566
      ■71020▼aThe  University  of  Iowa▼bGeography.
      ■7730  ▼tDissertation  Abstracts  International▼g80-02A(E).
      ■773    ▼tDissertation  Abstract  International
      ■790    ▼a0096
      ■791    ▼aPh.D.
      ■792    ▼a2018
      ■793    ▼aEnglish
      ■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T14998320▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
      ■980    ▼a201812▼f2019

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