Predicting stillbirth using LASSO with structured penalties

QR Code

Predicting stillbirth using LASSO with structured penalties

Using a structured fusion penalty in regression models containing only categorical explanatory variables yields patterns of indicator variables that are simpler and more easily interpretable than regressions produced using the more commonly-used LASSO and group LASSO penalties. We construct logistic...

Full description

Bibliographic Details
Main Authors:	Whitney, Emily, Phatak, Aloke, Pereira, Gavin
Other Authors:	Meira-Machado, Luis
Format:	Conference Paper
Published:	2019
Online Access:	http://hdl.handle.net/20.500.11937/77769

Similar Items

Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980–2015
by: Malacova, Eva, et al.
Published: (2020)

Bias in the association between advanced maternal age and stillbirth using left truncated data
by: Dunne, Jennifer, et al.
Published: (2022)

Addressing triggering post zancolli lasso procedure
by: Mohd Zaim MR,, et al.
Published: (2018)

LASSO Regression in Consumer Price Index Malaysia
by: Pillaya, Khuneswari Gopal, et al.
Published: (2021)

Ambient particulate matter air pollution and stillbirth in Ghana: A difference-in-differences approach
by: Nyadanu, Sylvester, et al.
Published: (2022)

A predictive analytics framework using grey-lasso model for hospital readmission / Nor Hamizah Miswan
by: Nor Hamizah , Miswan
Published: (2022)

Maternal acute thermophysiological stress and stillbirth in Western Australia, 2000–2015: A space-time-stratified case-crossover analysis
by: Nyadanu, Sylvester, et al.
Published: (2022)

Grand words, but so hard to read! Diction and structure in student writing
by: Phatak, Aloke, et al.
Published: (1993)

Embedding Data Analysis into the Undergraduate Actuarial Science Curriculum
by: Phatak, Aloke
Published: (2018)

Prenatal exposure to long-term heat stress and stillbirth in Ghana: A within-space time-series analysis
by: Nyadanu, Sylvester D., et al.
Published: (2023)

A review of determinant factors of stillbirths in Malaysia
by: Rosnah Sutan,
Published: (2008)

Goodness of fit tests and lasso variable selection in time series analysis
by: Chand, Sohail
Published: (2011)

Elevated serum matrix metalloproteinase 9 concentration predicts the presence of colorectal neoplasia in symptomatic patients
by: Belobrajdic, D., et al.
Published: (2008)

Association between interpregnancy interval and adverse birth outcomes in women with a previous stillbirth: an international cohort study
by: Regan, Annette, et al.
Published: (2019)

Comparison between best subset and lasso regression on consumer price index Malaysia
by: Gopal Pillay, Khuneswari A/P, et al.
Published: (2021)

Risk of stillbirth, preterm delivery and fetal growth restriction following exposure in previous birth: systematic review and meta-analysis
by: Malacova, Eva, et al.
Published: (2018)

Heavy prenatal alcohol exposure and increased risk of stillbirth
by: O'Leary, Colleen, et al.
Published: (2012)

Pathway-based analysis with support vector machine (SVM-LASSO) for gene selection and classification
by: Nurul Athirah, Nasrudin, et al.
Published: (2017)

Pathway-based analysis with Support Vector Machine (SVM-LASSO) for gene selection and classification
by: Nasrudin, Nurul Athirah, et al.
Published: (2017)

An enhanced feature selection and cancer classiﬁcation for microarray data using relaxed Lasso and support vector machine
by: Aina Umairah, Mazlan, et al.
Published: (2021)

Statistical downscaling of rainfall data using sparse variable selection methods
by: Phatak, Aloke, et al.
Published: (2011)

A retrospective review of stillbirths at the national hospital in Dili, Timor-Leste
by: Wilkins, Alexa, et al.
Published: (2015)

Occurrence of Chlamydia trachomatis infection in pregnant women with preterm complications and stillbirths
by: Sulaiman, Nurshahira
Published: (2012)

Evaluating A New Adaptive Group Lasso Imputation Technique For Handling Missing Values In Compositional Data
by: Tian, Ying
Published: (2024)

A seven year study of stillbirths and neonatal deaths in UKMMC: 2004-2010
by: Rosnah S,, et al.
Published: (2011)

Effect of methotrexate onsStillbirth, weight of mice embryos and histopathological changes of embryonic liver
by: Salman, Mohammad O., et al.
Published: (2016)

Statistical modelling of rainfall intensity-frequency-duration curves using regional frequency analysis and bayesian hierarchical modelling
by: Soltyk, S., et al.
Published: (2014)

Should the death penalty be abolished?
by: Ali Mohamed, Ashgar Ali
Published: (2018)

Employee incentives: bonuses or penalties?
by: Nosenzo, Daniele
Published: (2016)

Penalties for tax return preparers
by: Oats, Lynne, et al.
Published: (1994)

Liga penalti dapat sambutan

Evaluating the Accuracy of Bluetooth-Based Travel Time on Arterial Roads: A Case Study of Perth, Western Australia
by: Liu, Yuchen, et al.
Published: (2020)

Some invariance properties of the minimum noise fraction transform
by: Berman, M., et al.
Published: (2012)

A max-stable process model for rainfall extremes at different accumulation durations
by: Stephenson, A., et al.
Published: (2016)

Prediction Models for Adverse Pregnancy Outcomes in India: Methodological Considerations for an Emerging Topic
by: Pereira, Gavin
Published: (2022)

NetRaVE: Constructing dependency networks using sparse linear regression
by: Phatak, Aloke, et al.
Published: (2010)

Deterrence theory and the limitations of criminal penalties for cannabis use.
by: Lenton, Simon
Published: (2005)

Trend of stillbirths and neonatal deaths in University Kebangsaan Malaysia Medical Centre (UKMMC) from 2004- 2010.
by: Haslina Hassan,, et al.
Published: (2013)

Seasonal Trivalent Influenza Vaccination During Pregnancy and the Incidence of Stillbirth: Population-Based Retrospective Cohort Study
by: Regan, Annette, et al.
Published: (2016)

The wage growth penalty of informal employment
by: Siachoque, Juan
Published: (2023)