Missing Data Treatment on Cluster Analysis

Abstract

The missing data in household health survey had been challenged for the researcher because of incomplete analysis. The statistical tool cluster analysis methodology had implemented in the collected data of Sudan in 2006. The children and women were affected by the epidemic diseases in the Northern Southern and other parts of the Sudan. It was hard to collect data from the Southern part because of security issues and other controversial matters. The researcher had faced many problems when they analyzed the data and found the factors which enhanced the diseases in both women and children in Sudan. Through this hypothetical analysis at the end, the researchers had found multiple factors which faced by the people of Sudan. The researchers provided multiple techniques to the health organization better techniques for implementing in Sudan and reduce the level of diseases in both children and women.



CHAPTER ONE5

Background5

Missing data5

Cluster Analysis5

Sudan Household Health Survey (SHHS)6

CHAPTER TWO8

Related work8

Statement of the Problem8

Objective8

Importance9

CHAPTER THREE10

Methodology10

Data Sources10

Sample Design and Sample Selection Procedures11

Questionnaires Sample11

Scope and Limitations13

Women Clusters Samples14

Interpretation14

Child Clusters Samples14

Interpretation14

Limitation15

Timeframe15

References17

Missing Data Treatment on Cluster Analysis

CHAPTER ONE

Background

It could be very tedious for any researcher to make an analysis of incomplete data. In any research, data plays a significant role from every aspect. When the researchers had performed household health survey in Sudan country, they faced many problems because the people were not interested to provide their health data. Basically, an epidemics diseases had scattered in Sudan, due to which many people's had died which affected by the people. Due to this the household health survey program was commenced for inspecting the affected people and cause of this epidemic disease (Henderson & Sundaresan,1982).

Missing data

During the research of household health data in Sudan, the researchers had to face certain measures problems, because the peoples were not participating in the collection of data. Though, the situation was perilous for the investigator during the survey, but they had to complete their study about the epidemic diseases that commonly spread in Sudan. The data was missing, such as demographic data which is mandatory for the researcher and the data related to the factors of the epidemics diseases. The incomplete data was insignificant for the analysis of research, so they left a negative effect on the data treatment methods.

Cluster Analysis

In research, cluster analysis provides significant information about the demographic of data. It is a task of analyzing the whole population by making clusters according to the total of the population. It defines examining data withdrawal, analysis of image and bioinformatics. It is not an automatic process, but a repeating method of analyzing the different factors and related information that are related to the task. In Sudan, when the researchers partially analyzed the population, because the data was incomplete and beyond the expectation of the researchers who collected household health survey data of Sudan. The health researcher made a cluster of different samples and analyzed according to it (Ngondi, ,et.al,2007).

Sudan Household Health Survey (SHHS)

The Sudan household health survey was conducted in the year ...