Modeling Broncho-pneumonia Status in Infants Using Discriminant and Logistic Regression Analyses

Modeling Broncho-pneumonia Status in Infants Using Discriminant and Logistic Regression Analyses

CHAPTER ONE

Content Summary

• • Aim and Objectives of the Study
  • Introduction
  • General Review
  • Introduction
  • Assumptions of Discriminant and Logistic regression analyses
  • Conclusion
  • Recommendations
  • Contribution to knowledge
  • References
• Related Topics:

Aim and Objectives of the Study

The aim of this study is to investigate the broncho-pneumonia status in infants using linear discriminant and logistic regression models, and this will be achieved through the following objectives; by

1. constructing a linear discriminant and logistic regression models that are capable for predicting the Broncho-Pneumonia status in infants;
2. predicting the Broncho-Pneumonia status of some infants (random selected cases) using the developed models;
3. comparing the predictive powers of the two models for Broncho-Pneumonia;
4. determining the predictor that has the most discriminating ability among the predictions

CHAPTER TWO

LITERATURE REVIEW

Introduction

 This chapter is on the collection of relevant research works that provide a basis for the present study. It gives an overview of the prevailing theories and hypotheses and methodologies on the subject of study. A critical literature review shows how prevailing ideas fit into a particular study, and how the work agrees or differs from them.

General Review

Beki (2012) used discriminant analysis and binary logistic regression for tracking the incidence of Broncho-Pulmonary Dysplasia among infants. The researcher used three possible predictor variables i.e. weight at birth, weight four weeks later and gender and

built a discriminant model that is capable of tracking Broncho-Pulmonary Dysplasia (BPD) infants. The Discriminant models for the two locations were;

Y=-2.860+0.035X1-0.022X2-0.658X3andY=-3.539+0.001X1-0.003X2-0.795X3 (2.1)

The Logistic regression models for the two locations were given as;

The study predicted the BPD status of five new infants using the discriminant model in which all the five new cases were correctly predicted. The discriminant model built had a perfect

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