Factors associated with performing tuberculosis screening of HIV-positive patients in Ghana: LASSO-based predictor selection in a large public health data set.

ABSTRACT:

Background

The purpose of this study is to propose the Least Absolute Shrinkage and Selection Operators procedure (LASSO) as an alternative to conventional variable selection models, as it allows for easy interpretation and handles multicollinearities. We developed a model on the basis of LASSO-selected parameters in order to link associated demographical, socio-economical, clinical and immunological factors to performing tuberculosis screening in HIV-positive patients in Ghana.

Methods

Applying the LASSO method and multivariate logistic regression analysis on a large public health data set, we selected relevant predictors related to tuberculosis screening.

Results

One Thousand Ninety Five patients infected with HIV were enrolled into this study with 691 (63.2 %) of t

SUBMITTER: Mueller-Using S 

PROVIDER: S-EPMC4944423 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature