Gaussian estimation of regression and correlation parameters in longitudinal data Academic Article

abstract

• The moment estimate of the correlation parameters using generalized estimating equations (GEE) is not guaranteed to exist or to be feasible. We introduce the Gaussian estimation method and show that the estimate of the correlation parameters in longitudinal data setup is asymptotically unbiased and feasible. We derive the large sample properties of the regression and correlation estimates and we illustrate these estimators via real life data example. 2012.

authors

• Pourahmadi, Mohsen

published proceedings

• Journal of the Association of Arab Universities for Basic and Applied Sciences

author list (cited authors)

• Al-Rawwash, M., & Pourahmadi, M.

citation count

• 0

complete list of authors

• Al-Rawwash, M||Pourahmadi, M

publication date

• January 2013

publisher

• Taylor & Francis  Publisher

published in

• Journal- Association of Arab Universities for Basic and Applied Sciences  Journal

Digital Object Identifier (DOI)

• 10.1016/j.jaubas.2012.07.003

start page

• 28

end page

• 34

volume

• 13

issue

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.jaubas.2012.07.003