A New Nonparametric Regression for Longitudinal Data | Zendy

Hamed Tabesh | Zendy; Azadeh Saki | Zendy; Samira Mardaniyan | Zendy

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A New Nonparametric Regression for Longitudinal Data

Author(s) -

Hamed Tabesh,

Azadeh Saki,

Samira Mardaniyan

Publication year - 2013

Publication title -

iranian journal of health sciences

Language(s) - English

Resource type - Journals

ISSN - 2322-553X

DOI - 10.18869/acadpub.jhs.1.3.58

Subject(s) - nonparametric statistics , normality , nonparametric regression , regression analysis , econometrics , statistics , estimator , variable (mathematics) , mathematics , longitudinal data , computer science , data mining , mathematical analysis

Background and purpose: In many area of medical research, a relation analysis between one response variable and some explanatory variables is desirable. Regression is the most common tool in this situation. If we have some assumptions for such normality for response variable, we could use it. In this paper we propose a nonparametric regression that does not have normality assumption for response variable and we focus on longitudinal data.

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