Identifying the factors associated with cesarean section modeled with categorical correlation coefficients in partial least squares.

ABSTRACT: Cesarean section (CS) is associated with maternal morbidity and mortality in developing countries. This study is conducted to assess factors associated with CS in Pakistan using partial least squares (PLS) algorithm, where categorical factors are modeled. Nationally representative maternal data from Pakistan Demographic and Health Surveys (PDHS) conducted during 2012-2013 is used in this study. Among correlation coefficient based PLS regression proposed algorithms for categorical factors, Pearson's Contingency Coefficient (CC) PLS coupled with loading weight (LW) appeared to be the most efficient method in terms of model performance and influential factor selection. Region of residence, type of place of residence, mother's and her partner's level of education, wealth index, year of birth,

SUBMITTER: Sadiq M 

PROVIDER: S-EPMC6660071 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature