MODELING BRONCHO-PNEUMONIA STATUS IN INFANTS USING DISCRIMINANT AND LOGISIC REGRESSION ANALYSES
CHAPTER ONE
INTRODUCTION
1.1 Background of the study
Discriminant analysis is a procedure that can be used to build Discriminant functions which are linear functions of p-variables that can be used to describe or elucidate the differences among two or more groups. The goals of discriminant analysis include identifying the relative contribution of the p variables to separation of the groups and finding the optimal plane on which the points can be projected to best illustrate the configuration of the groups. Another use of discriminant analysis is the prediction or allocation of observations to groups, in which linear functions of the variables are employed to assign an individual sampling unit to one of the groups. The measured values in the observation vector for an individual or object are evaluated by the classification function to find the particular group to which the individual most likely belongs.
Interest in human development before birth is widely spread because of the interest in knowing more about our beginning and the desire to improve the quality of life. The intricate process by which a baby develops from a single cell is miraculous and few events are more exciting than a mother‟s viewing of her embryo during an Ultrasound examination. Human development is a continuous process that begins when an Oocyt (ovum) from a female is fertilized by a sperm (spermatozoa) from the male. By accepting the shelter of uterus, the foetus also takes the risk of disease or malnutrition and of biochemical immunological and hormonal adjustment.
Until the beginning of the Nineteenth Century, far more attention was paid to the collection and presentation of data than to their interpretation. Large volume of data were usually collected and frequently misinterpreted if indeed interpretation was attempted. However, since that time, the importance of scientific approach in the interpretation of data has been realized and great steps have been achieved in the development of appropriate methods.
In modern days, statistics has played a significant role in Biological, Pharmaceutical and Medical Sciences (Cornfield,1952). The application of multivariate statistical techniques to biological and medical data has dominated the areas of evidence-based medicine. Multivariate methods are relevant in virtually every branch of applied medicine, pharmacy and public health. They come into play either when we have a medical theory to test or when we have a relationship in mind that has some importance for medical decision or policy analysis in public health. Multivariate methods are also used in other disciplines.
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MODELING BRONCHO-PNEUMONIA STATUS IN INFANTS USING DISCRIMINANT AND LOGISIC REGRESSION ANALYSES
