Regression analysis for longitudinal hemoglobin data for premature infants with outcomes subject to non-response

Thesis (M.A.S.)--Memorial University of Newfoundland, 2002. Mathematics and Statistics Bibliography: leaves 51-52 In analyzing longitudinal hemoglobin data for low-birth-weight infants, it is of interest to examine the effects of iron fortification and other covariates such as gender and gestation w...

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Bibliographic Details
Main Author: Neupane, Rajendra, 1973-
Other Authors: Memorial University of Newfoundland. Dept. of Mathematics and Statistics
Format: Thesis
Language:English
Published: 2002
Subjects:
Online Access:http://collections.mun.ca/cdm/ref/collection/theses3/id/202222
Description
Summary:Thesis (M.A.S.)--Memorial University of Newfoundland, 2002. Mathematics and Statistics Bibliography: leaves 51-52 In analyzing longitudinal hemoglobin data for low-birth-weight infants, it is of interest to examine the effects of iron fortification and other covariates such as gender and gestation weeks on the hemoglobin status of the infants over the months. As the hemoglobin data are collected repeatedly over a period of time, the longitudinal correlations of the responses must be taken into account in finding the covariate effects. Further problems get mounted when some of the responses are missing. In this practicum, we conducted a regression analysis after accomodating the longitudinal and missingness nature of the data into account. Also, several non-parametric tests were applied to examine any possible monotonic trend in the longitudinal hemoglobin data.