Analysis of infertility with regards to assisted reproductive technology
| dc.contributor.author | Beng Chong, Yeap | |
| dc.date.accessioned | 2015-07-30T05:31:53Z | |
| dc.date.available | 2015-07-30T05:31:53Z | |
| dc.date.issued | 2006 | |
| dc.description.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. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/1055 | |
| dc.language.iso | en | en_US |
| dc.subject | Reproductive technology | en_US |
| dc.title | Analysis of infertility with regards to assisted reproductive technology | en_US |
| dc.type | Thesis | en_US |
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