Identifying and understanding determinants of high healthcare costs for breast cancer: a quantile regression machine learning approach

Comparison of statistical and machine learning models for healthcare cost data: a simulation study motivated by Oncology Care Model (OCM) data

(2020) Madhu Mazumdar et al.   BMC HEALTH SERVICES RESEARCH

Estimation of causal effects of multiple treatments in observational studies with a binary outcome

(2020) Liangyuan Hu et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Quantile Regression Forests to Identify Determinants of Neighborhood Stroke Prevalence in 500 Cities in the USA: Implications for Neighborhoods with High Prevalence

(2020) Liangyuan Hu et al.   JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE

Ranking sociodemographic, health behavior, prevention, and environmental factors in predicting neighborhood cardiovascular health: A Bayesian machine learning approach

(2020) Liangyuan Hu et al.   PREVENTIVE MEDICINE

Tree‐Based Machine Learning to Identify and Understand Major Determinants for Stroke at the Neighborhood Level

(2020) Liangyuan Hu et al.   Journal of the American Heart Association

Causal comparative effectiveness analysis of dynamic continuous-time treatment initiation rules with sparsely measured outcomes and death

(2019) Liangyuan Hu et al.   BIOMETRICS

Interpreting Oncology Care Model Data to Drive Value-Based Care: A Prostate Cancer Analysis

(2019) Ronald D. Ennis et al.   Journal of Oncology Practice

Managing High-Cost Healthcare Users: The International Search for Effective Evidence-Supported Strategies

(2018) Justin Y. Lee et al.   JOURNAL OF THE AMERICAN GERIATRICS SOCIETY

A quantile regression forest based method to predict drug response and assess prediction reliability

(2018) Yun Fang et al.   PLoS One

Systematic review of high-cost patients’ characteristics and healthcare utilisation

(2018) Joost Johan Godert Wammes et al.   BMJ Open

Cost drivers for breast, lung, and colorectal cancer care in a commercially insured population over a 6-month episode: an economic analysis from a health plan perspective

(2017) Bhuvana Sagar et al.   JOURNAL OF MEDICAL ECONOMICS

Caring for High-Need, High-Cost Patients — An Urgent Priority

(2016) David Blumenthal et al.   NEW ENGLAND JOURNAL OF MEDICINE

Association Between Medicare Accountable Care Organization Implementation and Spending Among Clinically Vulnerable Beneficiaries

(2016) Carrie H. Colla et al.   JAMA Internal Medicine

Cancer statistics, 2015

(2015) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Six Features Of Medicare Coordinated Care Demonstration Programs That Cut Hospital Admissions Of High-Risk Patients

(2012) Randall S. Brown et al.   HEALTH AFFAIRS

Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension

(2012) Lan Wang et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Using Information on Clinical Conditions to Predict High-Cost Patients

(2010) John A. Fleishman et al.   HEALTH SERVICES RESEARCH

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

Inpatient Care Intensity And Patients’ Ratings Of Their Hospital Experiences

(2009) John E. Wennberg et al.   HEALTH AFFAIRS