Mixed-effects Gaussian process functional regression models with application to dose-response curve prediction.
| Publicado en: | Statistics in Medicine Vol. 31; no. 26; pp. 3165 - 3178 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
Nov2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104373694&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104373694 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02776715 2DZ jtl: Statistics in Medicine issn: 02776715 maglogo: Y pubinfo: dt: Nov2012 vid: 31 iid: 26 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104373694 2011711688 10.1002/sim.4502 NLM22865484 104373694 ppf: 3165 ppct: 13 formats: tig: atl: Mixed-effects Gaussian process functional regression models with application to dose-response curve prediction. aug: au: Shi JQ Wang B Will EJ West RM affil: School of Mathematics and Statistics, Newcastle University, Newcastle, NE1 7RU, U.K. sug: subj: Statistics Methods Dose-Response Relationship, Drug Regression Anemia Blood Anemia Drug Therapy Anemia Etiology Probability Erythropoietin Administration and Dosage Hemoglobins Metabolism Human Models, Statistical Statistics Renal Insufficiency Complications Renal Insufficiency Drug Therapy Nonparametric Statistics pubtype: Academic Journal doctype: research Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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