S. Roberts

发表

An evaluation of bootstrap methods for outlier detection in least squares regression

Michael A. Martin, S. Roberts, 2006 .

B. Rajaratnam, S. Roberts, Doug Sparks, 2014 .

Lasso Regression: Estimation and Shrinkage via Limit of Gibbs Sampling

Bala Rajaratnam, Steven Roberts, Doug Sparks, 2014, 1401.2480.

A critical assessment of shrinkage-based regression approaches for estimating the adverse health effects of multiple air pollutants

Steven Roberts, Michael A. Martin, S. Roberts, 2005 .

Biologically plausible particulate air pollution mortality concentration-response functions.

Steven Roberts, S. Roberts, 2003, Environmental health perspectives.

A regression approach for estimating multiday adverse health effects of PM10 when daily PM10 data are unavailable.

Michael A. Martin, S. Roberts, 2008, American journal of epidemiology.

Combining data from multiple monitors in air pollution mortality time series studies

S. Roberts, Steven O. Roberts, 2003 .

Bootstrap model averaging in time series studies of particulate matter air pollution and mortality

Michael A. Martin, S. Roberts, 2006, Journal of Exposure Science and Environmental Epidemiology.

Maximal autocorrelation factors for function-valued spatial/temporal data

G. Hooker, H. Shang, S. Roberts, 2015 .

Investigating the mixture of air pollutants associated with adverse health outcomes

Steven Roberts, Michael A. Martin, S. Roberts, 2006 .

The large-sample distribution of the maximum Sharpe ratio with and without short sales

R. Tourky, S. Roberts, R. Maller, 2016 .

Can mortality displacement mask thresholds in the concentration-response relation between particulate matter air pollution and mortality?

S. Roberts, 2011 .

Constrained confidence intervals in time series studies of mortality and air pollution.

S. Roberts, B. Puza, Mo-Tai Yang, 2011, Environment international.

What are distributed lag models of particulate matter air pollution estimating when there are populations of frail individuals?

S. Roberts, 2011, Environment international.

The Deterministic Bayesian Lasso

B. Rajaratnam, S. Roberts, Doug Sparks, 2014 .

Interactions between particulate air pollution and temperature in air pollution mortality time series studies.

S. Roberts, 2004, Environmental research.

Breast-Conserving Surgery Versus Mastectomy for Survival from Breast Cancer: the Western Australian Experience

Michael A. Martin, T. O'neill, S. Roberts, 2006, Annals of surgical oncology.

Using Supervised Principal Components Analysis to Assess Multiple Pollutant Effects

Steven Roberts, Michael A. Martin, S. Roberts, 2006, Environmental health perspectives.

Stabilizing the lasso against cross-validation variability

S. Roberts, G. Nowak, G. Nowak, 2014, Comput. Stat. Data Anal..

A New Model for Investigating the Mortality Effects of Multiple Air Pollutants in Air Pollution Mortality Time-Series Studies

S. Roberts, 2006, Journal of toxicology and environmental health. Part A.

An Investigation of Distributed Lag Models in the Context of Air Pollution and Mortality Time Series Analysis

S. Roberts, 2005, Journal of the Air & Waste Management Association.

Have the short-term mortality effects of particulate matter air pollution changed in Australia over the period 1993-2007?

S. Roberts, 2013, Environmental pollution.

Does ignoring model selection when assessing the effect of particulate matter air pollution on mortality make us too vigilant?

Michael A. Martin, S. Roberts, 2010, Annals of epidemiology.

A distributed lag approach to fitting non-linear dose-response models in particulate matter air pollution time series investigations.

Steven Roberts, Michael A. Martin, S. Roberts, 2007, Environmental research.

Jackknife-after-bootstrap regression influence diagnostics

Steven Roberts, Michael A. Martin, S. Roberts, 2010 .

A new approach for combining information available from multiple particulate air pollution monitors

Michael A. Martin, S. Roberts, 2008, Journal of Exposure Science and Environmental Epidemiology.

The question of nonlinearity in the dose-response relation between particulate matter air pollution and mortality: can Akaike's Information Criterion be trusted to take the right turn?

Michael A. Martin, S. Roberts, 2006, American journal of epidemiology.

Influence Diagnostics for High-Dimensional Lasso Regression

Bala Rajaratnam, Honglin Yu, Steven Roberts, 2019, Journal of Computational and Graphical Statistics.

An Adaptive, Automatic Multiple-Case Deletion Technique for Detecting Influence in Regression

Steven Roberts, Michael A. Martin, Letian Zheng, 2015, Technometrics.

DELETE‐2 AND DELETE‐3 JACKKNIFE PROCEDURES FOR UNMASKING IN REGRESSION

Steven Roberts, Letian Zheng, Michael A. Martin, 2010 .

Methods for Bias Reduction in Time-Series Studies of Particulate Matter Air Pollution and Mortality

Michael A. Martin, S. Roberts, 2007, Journal of toxicology and environmental health. Part A.

Applying a moving total mortality count to the cities in the NMMAPS database to estimate the mortality effects of particulate matter air pollution

S. Roberts, M. A. Martin, 2006, Occupational and Environmental Medicine.

Bootstrap-after-Bootstrap Model Averaging for Reducing Model Uncertainty in Model Selection for Air Pollution Mortality Studies

Steven Roberts, Michael A. Martin, S. Roberts, 2009, Environmental health perspectives.

Retracted: Factors affecting hospital readmission rates for breast cancer patients in Western Australia.

Michael A. Martin, T. O'neill, S. Roberts, 2007, Journal of surgical oncology.

Using Moving Total Mortality Counts to Obtain Improved Estimates for the Effect of Air Pollution on Mortality

S. Roberts, 2005, Environmental health perspectives.

Mortality Displacement and Distributed Lag Models

P. Switzer, S. Roberts, 2004, Inhalation toxicology.

On the power of Portmanteau serial correlation tests

Terence J. O'Neill, Michael A. Martin, S. Roberts, 2006 .

Factors associated with short-term hospital readmission rates for breast cancer patients in Western Australia: an observational study.

Michael A. Martin, T. O'neill, S. Roberts, 2007, Journal of the American College of Surgeons.

THE USE OF AGGREGATE DATA TO ESTIMATE GOMPERTZ‐TYPE OLD‐AGE MORTALITY IN HETEROGENEOUS POPULATIONS

S. Roberts, B. Puza, C. Heathcote, 2009 .

Variational Bayesian Learning of Sparse Representations and Its Application in Functional Neuroimaging

Ingrid Daubechies, Steven Roberts, Evangelos Roussos, 2011, MLINI.

Breast-Conserving Surgery Versus Mastectomy for Survival from Breast Cancer: the Western Australian Experience

Michael A. Martin, T. O'neill, S. Roberts, 2006, Annals of Surgical Oncology.

A Bayesian approach to modeling the interaction between air pollution and temperature.

S. Roberts, B. Puza, 2013, Annals of epidemiology.

Robust Lasso Regression Using Tukey's Biweight Criterion

Le Chang, Alan Welsh, Steven Roberts, 2018, Technometrics.

Statistical Thinking in Epidemiology. By Y.‐K. Tu and M. Gilthorpe. Boca Raton, Florida: CRC Press. 2011. 231 pages. UK£57.99 (hardback). ISBN 978‐1‐4200‐9991‐1.

S. Roberts, 2012 .

Mastectomy or breast conserving surgery? Factors affecting type of surgical treatment for breast cancer – a classification tree approach

Steven Roberts, Terry O'Neill, Michael A. Martin, 2006, BMC Cancer.