eprintid: 1476062
rev_number: 21
eprint_status: archive
userid: 608
dir: disk0/01/47/60/62
datestamp: 2016-03-04 16:01:57
lastmod: 2020-02-12 18:55:02
status_changed: 2016-03-04 16:01:57
type: article
metadata_visibility: show
creators_name: Marra, G
creators_name: Radice, R
title: Flexible Bivariate Binary Models for Estimating the Efficacy of Phototherapy for Newborns with Jaundice
ispublished: pub
divisions: UCL
divisions: A01
divisions: B04
divisions: C06
divisions: F61
note: Copyright for this article is retained by the author(s), with first publication rights granted to the journal.
This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution
license (http://creativecommons.org/licenses/by/3.0/).
abstract: In this work we analyse the efficacy of phototherapy (treatment) on the probability of being hyperbilirubinemic (outcome) in infants. A realistic quantification of the relationship between treatment and outcome can be challenging for various reasons. First, the probability of interest might be too small. Second, confounding unmeasured variables may exist which can bias the efficacy of phototherapy at preventing significant hyperbilirubinemia. Third, relationships between covariates and the outcome variable may exhibit non-linear patterns that, if not accounted for, can bias the relationship of interest. One way of dealing with the second and third issues is to use a semiparametric recursive bivariate probit model. To address the first issue as well, we explore an extension of this model which accounts for the fact that being hyperbilirubinemic can be regarded as a rare event. The proposed approach combines the marginal distributions of treatment and outcome using copulae, and uses asymmetric link functions to deal with rare outcome events. The main features underpinning the use of asymmetric link functions within semiparametric bivariate binary models are discussed.
date: 2014
date_type: published
official_url: http://dx.doi.org/10.5539/ijsp.v4n1p46
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1057802
doi: 10.5539/ijsp.v4n1p46
lyricists_name: Marra, Giampiero
lyricists_id: GMARR98
actors_name: Marra, Giampiero
actors_id: GMARR98
actors_role: owner
full_text_status: public
publication: International Journal of Statistics and Probability
volume: 4
number: 1
pagerange: 46-58
issn: 1927-7040
citation:        Marra, G;    Radice, R;      (2014)    Flexible Bivariate Binary Models for Estimating the Efficacy of Phototherapy for Newborns with Jaundice.                   International Journal of Statistics and Probability , 4  (1)   pp. 46-58.    10.5539/ijsp.v4n1p46 <https://doi.org/10.5539/ijsp.v4n1p46>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1476062/7/Marra_41892-149442-1-PB.pdf