<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Log-linear analysis is a practical tool for examining relationships, successfully applied in many fields of science. This paper discusses the topic of estimation of the chance of getting pregnant in couples that underwent ART insemination. The authors focus on finding significant interactions between variables, on the basis of which statistical models are built. With the use of results of log-linear analysis, a model predicting the chances of achieving a clinical pregnancy that contained interactions was successfully built. Moreover, it was more complete than the model obtained with the use of logistic regression alone.</p></abstract>

Log-linear analysis is a practical tool for examining relationships, successfully applied in many fields of science. This paper discusses the topic of estimation of the chance of getting pregnant in couples that underwent ART insemination. The authors focus on finding significant interactions between variables, on the basis of which statistical models are built. With the use of results of log-linear analysis, a model predicting the chances of achieving a clinical pregnancy that contained interactions was successfully built. Moreover, it was more complete than the model obtained with the use of logistic regression alone.

The Use of Log-linear Analysis for Pregnancy Prediction

Department of Statistics and Medical Informatics

Doctoral studies at Faculty of Health Sciences

Department of Gamete and Embryo Biology, Institute of Animal Reproduction and Food Research of Polish Academy of Sciences in Olsztyn

Shore Institute for Reproductive Medicine

Studies in Logic, Grammar and Rhetoric

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"The Use of Log-linear Analysis for Pregnancy Prediction"}

Log-linear analysis is a practical tool for examining relationships, successfully applied in many fields of science. This paper discusses the topic of...

The Use of Log-linear Analysis for Pregnancy Prediction

Publié en ligne: 16 mars 2019

Pages: 7 - 18

DOI: https://doi.org/10.2478/slgr-2018-0037

© 2018 Anna Justyna Milewska et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.