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A three-step estimation procedure using local polynomial smoothing for inconsistently sampled longitudinal data.
Ye, Lei; Youk, Ada O; Sereika, Susan M; Anderson, Stewart J; Burke, Lora E.
Affiliation
  • Ye L; Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15260, U.S.A.
  • Youk AO; Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15260, U.S.A.
  • Sereika SM; Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15260, U.S.A.
  • Anderson SJ; School of Nursing, University of Pittsburgh, Pittsburgh, PA, 15260, U.S.A.
  • Burke LE; Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15260, U.S.A.
Stat Med ; 35(20): 3613-22, 2016 09 10.
Article in En | MEDLINE | ID: mdl-27122363
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Longitudinal Studies / Data Accuracy Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Stat Med Year: 2016 Type: Article Affiliation country: United States
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Longitudinal Studies / Data Accuracy Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Stat Med Year: 2016 Type: Article Affiliation country: United States