Your browser doesn't support javascript.
loading
Application of methods used in survival analysis to growth and nutritional studies.
Hoogendijk, W J; Hollak, C E; Griffioen, F M; Oosting, J; Hart, A A.
Affiliation
  • Hoogendijk WJ; Department of Anatomy and Embryology, University of Amsterdam, The Netherlands.
Growth Dev Aging ; 52(4): 161-7, 1988.
Article in En | MEDLINE | ID: mdl-3255723
Three statistical methods are described and illustrated with working examples. Using these methods it is possible to include all subjects involved in cross-sectional studies in calculations of results, even if the data are incomplete at the end of the investigation. The use of censored data is taken from survival analysis. It is shown that combination of the Kaplan-Meier estimate, the log-rank test and the proportional hazards model gives more satisfactory results in nutritional and growth studies.
Subject(s)
Search on Google
Collection: 01-internacional Database: MEDLINE Main subject: Breast Feeding / Child Nutritional Physiological Phenomena / Growth / Infant Nutritional Physiological Phenomena Type of study: Observational_studies Limits: Child, preschool / Female / Humans / Infant / Male / Newborn Country/Region as subject: Caribe Language: En Journal: Growth Dev Aging Journal subject: FISIOLOGIA Year: 1988 Document type: Article Affiliation country: Netherlands Country of publication: United States
Search on Google
Collection: 01-internacional Database: MEDLINE Main subject: Breast Feeding / Child Nutritional Physiological Phenomena / Growth / Infant Nutritional Physiological Phenomena Type of study: Observational_studies Limits: Child, preschool / Female / Humans / Infant / Male / Newborn Country/Region as subject: Caribe Language: En Journal: Growth Dev Aging Journal subject: FISIOLOGIA Year: 1988 Document type: Article Affiliation country: Netherlands Country of publication: United States