Selection of nonlinear interactions by a forward stepwise algorithm: Application to identifying environmental chemical mixtures affecting health outcomes
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Selection of nonlinear interactions by a forward stepwise algorithm: Application to identifying environmental chemical mixtures affecting health outcomes
Authors
Keywords
-
Journal
STATISTICS IN MEDICINE
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2018-12-27
DOI
10.1002/sim.8059
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The non-linear association between low-level lead exposure and maternal stress among pregnant women
- (2017) Shufang Li et al. NEUROTOXICOLOGY
- Exact post-selection inference, with application to the lasso
- (2016) Jason D. Lee et al. ANNALS OF STATISTICS
- Multi-pollutant exposure profiles associated with term low birth weight in Los Angeles County
- (2016) Eric Coker et al. ENVIRONMENT INTERNATIONAL
- Statistical Approaches for Assessing Health Effects of Environmental Chemical Mixtures in Epidemiology: Lessons from an Innovative Workshop
- (2016) Kyla W. Taylor et al. ENVIRONMENTAL HEALTH PERSPECTIVES
- Convex Modeling of Interactions With Strong Heredity
- (2016) Asad Haris et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Exact Post-Selection Inference for Sequential Regression Procedures
- (2016) Ryan J. Tibshirani et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Grouping chemicals for health risk assessment: A text mining-based case study of polychlorinated biphenyls (PCBs)
- (2016) Imran Ali et al. TOXICOLOGY LETTERS
- Environmental risk factors for dementia: a systematic review
- (2016) Lewis O. J. Killin et al. BMC Geriatrics
- Association of Environmental Toxins With Amyotrophic Lateral Sclerosis
- (2016) Feng-Chiao Su et al. JAMA Neurology
- Estimation and inference in generalized additive coefficient models for nonlinear interactions with high-dimensional covariates
- (2015) Shujie Ma et al. ANNALS OF STATISTICS
- EDC-2: The Endocrine Society's Second Scientific Statement on Endocrine-Disrupting Chemicals
- (2015) A. C. Gore et al. ENDOCRINE REVIEWS
- Learning Interactions via Hierarchical Group-Lasso Regularization
- (2015) Michael Lim et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Prediction consistency of forward iterated regression and selection technique
- (2015) Shikai Luo et al. STATISTICS & PROBABILITY LETTERS
- Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures
- (2014) Jennifer F. Bobb et al. BIOSTATISTICS
- Classification and regression trees for epidemiologic research: an air pollution example
- (2014) Katherine Gass et al. Environmental Health
- Interaction Screening for Ultrahigh-Dimensional Data
- (2014) Ning Hao et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Environmental Risk Score as a New Tool to Examine Multi-Pollutants in Epidemiologic Research: An Example from the NHANES Study Using Serum Lipid Levels
- (2014) Sung Kyun Park et al. PLoS One
- A lasso for hierarchical interactions
- (2013) Jacob Bien et al. ANNALS OF STATISTICS
- Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons
- (2013) Zhichao Sun et al. Environmental Health
- Estimation and Accuracy After Model Selection
- (2013) Bradley Efron JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Estimating the Health Effects of Exposure to Multi-Pollutant Mixture
- (2012) Cécile Billionnet et al. ANNALS OF EPIDEMIOLOGY
- Hormones and Endocrine-Disrupting Chemicals: Low-Dose Effects and Nonmonotonic Dose Responses
- (2012) Laura N. Vandenberg et al. ENDOCRINE REVIEWS
- Antiandrogenic activity of phthalate mixtures: Validity of concentration addition
- (2012) Verena Christen et al. TOXICOLOGY AND APPLIED PHARMACOLOGY
- FSR methods for second-order regression models
- (2011) Hugh B. Crews et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Lung Cancer and Cardiovascular Disease Mortality Associated with Ambient Air Pollution and Cigarette Smoke: Shape of the Exposure–Response Relationships
- (2011) C. Arden Pope et al. ENVIRONMENTAL HEALTH PERSPECTIVES
- Association of daily asthma emergency department visits and hospital admissions with ambient air pollutants among the pediatric Medicaid population in Detroit: Time-series and time-stratified case-crossover analyses with threshold effects
- (2011) Shi Li et al. ENVIRONMENTAL RESEARCH
- Nonlinear associations between blood lead in children, age of child, and quantity of soil lead in metropolitan New Orleans
- (2011) Sammy Zahran et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Extended BIC for small-n-large-P sparse GLM
- (2011) Jiahua Chen et al. STATISTICA SINICA
- Variable selection in nonparametric additive models
- (2010) Jian Huang et al. ANNALS OF STATISTICS
- Postmenopausal Breast Cancer Is Associated with Exposure to Traffic-Related Air Pollution in Montreal, Canada: A Case–Control Study
- (2010) Dan L. Crouse et al. ENVIRONMENTAL HEALTH PERSPECTIVES
- Variable Selection Using Adaptive Nonlinear Interaction Structures in High Dimensions
- (2010) Peter Radchenko et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- An Environment-Wide Association Study (EWAS) on Type 2 Diabetes Mellitus
- (2010) Chirag J. Patel et al. PLoS One
- High-dimensional variable selection
- (2009) Larry Wasserman et al. ANNALS OF STATISTICS
- Cardiovascular Mortality and Exposure to Airborne Fine Particulate Matter and Cigarette Smoke
- (2009) C. Arden Pope et al. CIRCULATION
- Reduction in Heart Rate Variability with Traffic and Air Pollution in Patients with Coronary Artery Disease
- (2009) Antonella Zanobetti et al. ENVIRONMENTAL HEALTH PERSPECTIVES
- Fast FSR Variable Selection with Applications to Clinical Trials
- (2008) Dennis D. Boos et al. BIOMETRICS
- A Cohort Study of Traffic-Related Air Pollution Impacts on Birth Outcomes
- (2008) Michael Brauer et al. ENVIRONMENTAL HEALTH PERSPECTIVES
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now