Analysis of infertility with regards to assisted reproductive technology
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Date
2006
Authors
Beng Chong, Yeap
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Abstract
Regression methods have become an integral component of any data analysis
concerned with describing the relationship between a response variable and one or
more explanatory variables. It is often the case that the outcome variable is discrete,
taking on two or more possible values. Over the last decade the logistic regression
model has become, in many fields, the standard method of analysis in this situation.
The goal of this dissertation is to find the best fitting and most parsimonious,
yet biologically reasonable model to describe the relationship between an outcome
(dependent or response variable) and a set of independent (predictor or explanatory)
variables. These independent variables are often called covariates.
In this study, data were collected from IVF Centre, Hospital Lam Wah Ee,
where 119 of patients underwent Assisted Reproductive Technologies (ART)
program, the two techniques used are In-Vitro Fertilization (IVF) and
Intracytoplasmic Sperm Injection (ICSI). From the analysis, we show that more than
one covariate affect the outcome of ART. In addition, we found that number of
embryo transferred has an effect on the chances of twin pregnancy.
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Keywords
Reproductive technology