Sherri Rose
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American biostatistician
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Mathematics
Sherri Rose's Degrees
- Bachelors Mathematics Stanford University
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Why Is Sherri Rose Influential?
(Suggest an Edit or Addition)According to Wikipedia, Sherri Rose is an American biostatistician. She is an associate professor of health care policy at Stanford University, having formally worked at Harvard University. A fellow of the American Statistical Association, she has served as co-editor of Biostatistics since 2019 and Chair of the American Statistical Association’s Biometrics Section. Her research focuses on statistical machine learning for health care policy.
Sherri Rose's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Targeted Learning: Causal Inference for Observational and Experimental Data (2011) (896)
- Predicting suicides after psychiatric hospitalization in US Army soldiers: the Army Study To Assess Risk and rEsilience in Servicemembers (Army STARRS). (2015) (364)
- Implementation of G-computation on a simulated data set: demonstration of a causal inference technique. (2011) (284)
- Why Match? Investigating Matched Case-Control Study Designs with Causal Effect Estimation (2009) (251)
- Changes in health care spending and quality 4 years into global payment. (2014) (203)
- How well can post‐traumatic stress disorder be predicted from pre‐trauma risk factors? An exploratory study in the WHO World Mental Health Surveys (2014) (198)
- Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies (2017) (182)
- Mortality risk score prediction in an elderly population using machine learning. (2013) (146)
- Ethical Machine Learning in Health Care (2020) (140)
- Rapid Growth In Mental Health Telemedicine Use Among Rural Medicare Beneficiaries, Wide Variation Across States. (2017) (119)
- Targeted Learning in Data Science. Causal Inference for Complex Longitudinal Studies. (2018) (115)
- How Is Telemedicine Being Used In Opioid And Other Substance Use Disorder Treatment? (2018) (98)
- Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings (2017) (90)
- A Machine Learning Framework for Plan Payment Risk Adjustment. (2016) (61)
- MAJOR DEPRESSIVE DISORDER SUBTYPES TO PREDICT LONG‐TERM COURSE (2014) (58)
- Machine Learning for Prediction in Electronic Health Data. (2018) (57)
- Simple Optimal Weighting of Cases and Controls in Case-Control Studies (2008) (56)
- Association Between Broadband Internet Availability and Telemedicine Use. (2019) (54)
- A Review of Generalizability and Transportability (2021) (52)
- Predicting posttraumatic stress disorder following a natural disaster. (2018) (50)
- Endoscopist factors that influence serrated polyp detection: a multicenter study (2018) (50)
- Reflection on modern methods: when worlds collide-prediction, machine learning and causal inference. (2019) (48)
- Physician characteristics associated with higher adenoma detection rate. (2017) (48)
- Risk-Adjustment Simulation: Plans May Have Incentives To Distort Mental Health And Substance Use Coverage. (2016) (44)
- Variation In Accountable Care Organization Spending And Sensitivity To Risk Adjustment: Implications For Benchmarking. (2016) (42)
- Discovery with Data: Leveraging Statistics with Computer Science to Transform Science and Society (2014) (42)
- Classifying Lung Cancer Severity with Ensemble Machine Learning in Health Care Claims Data (2017) (42)
- Fair regression for health care spending (2019) (41)
- Public reporting of colonoscopy quality is associated with an increase in endoscopist adenoma detection rate. (2015) (39)
- Risk Adjustment for Health Plan Payment (2018) (38)
- A Targeted Maximum Likelihood Estimator for Two-Stage Designs (2011) (35)
- Big data and the future (2012) (30)
- Mental Health Risk Adjustment with Clinical Categories and Machine Learning (2018) (29)
- A double robust approach to causal effects in case-control studies. (2014) (29)
- Finding Quantitative Trait Loci Genes with Collaborative Targeted Maximum Likelihood Learning. (2011) (29)
- Effects of Episode-Based Payment on Health Care Spending and Utilization: Evidence from Perinatal Care in Arkansas (2017) (29)
- Statistics Ready for a Revolution: Next Generation of Statisticians Must Build Tools for Massive Data Sets (2010) (28)
- Community Factors Associated With Telemedicine Use During the COVID-19 Pandemic (2021) (28)
- A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI (2021) (27)
- The impact of exclusion criteria on a physician's adenoma detection rate. (2015) (26)
- Lower- Versus Higher-Income Populations In The Alternative Quality Contract: Improved Quality And Similar Spending. (2017) (26)
- Insurance Transitions and Changes in Physician and Emergency Department Utilization: An Observational Study (2017) (25)
- Readings in Targeted Maximum Likelihood Estimation (2009) (25)
- The relationship between non-communicable disease occurrence and poverty-evidence from demographic surveillance in Matlab, Bangladesh. (2016) (25)
- Variation in Pathologist Classification of Colorectal Adenomas and Serrated Polyps (2018) (23)
- Prediction of absolute risk of acute graft-versus-host disease following hematopoietic cell transplantation (2018) (20)
- Limitations of P-Values and R-squared for Stepwise Regression Building: A Fairness Demonstration in Health Policy Risk Adjustment (2018) (20)
- The Open Problem (2011) (20)
- Computational health economics for identification of unprofitable health care enrollees (2017) (18)
- Intersections of machine learning and epidemiological methods for health services research (2020) (17)
- Estimating the Health Status of Privately Insured Gender Minority Children and Adults. (2019) (16)
- The relationship between non-communicable disease occurrence and poverty—evidence from demographic surveillance in Matlab, (2018) (15)
- Association of Nondiscrimination Policies With Mental Health Among Gender Minority Individuals. (2020) (14)
- Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data (2016) (14)
- Ethical Machine Learning in Health (2020) (13)
- Data transformations to improve the performance of health plan payment methods. (2019) (13)
- Disruptions in Care for Medicare Beneficiaries With Severe Mental Illness During the COVID-19 Pandemic (2022) (13)
- Association Between Endoscopist Personality and Rate of Adenoma Detection. (2019) (12)
- Robust Machine Learning Variable Importance Analyses of Medical Conditions for Health Care Spending (2018) (11)
- Finding Quantitative Trait Loci Genes (2011) (11)
- Double robust estimation for multiple unordered treatments and clustered observations: Evaluating drug‐eluting coronary artery stents (2018) (11)
- A Note on Risk Prediction for Case-Control Studies (2008) (10)
- Gatekeeping and patterns of outpatient care post healthcare reform. (2018) (9)
- Matching and Imputation Methods for Risk Adjustment in the Health Insurance Marketplaces (2017) (8)
- Classifying Stage IV Lung Cancer From Health Care Claims: A Comparison of Multiple Analytic Approaches. (2019) (8)
- Machine learning for causal inference in Biostatistics. (2019) (7)
- Medical Schools in Fragile States: Implications for Delivery of Care (2018) (7)
- Potential Impact of Initial Clinical Data on Adjustment of Pediatric Readmission Rates. (2019) (6)
- Causal Inference for Case-Control Studies (2011) (5)
- National Rates of Initiation and Intensification of Antidiabetic Therapy Among Patients With Commercial Insurance (2018) (5)
- Simplifying and Improving the Performance of Risk Adjustment Systems (2020) (5)
- Nonparametric Bayesian Instrumental Variable Analysis: Evaluating Heterogeneous Effects of Coronary Arterial Access Site Strategies (2018) (5)
- Improving the Performance of Risk Adjustment Systems (2021) (5)
- Health Care Claims Data May Be Useful For COVID-19 Research Despite Significant Limitations (2020) (5)
- A Novel Targeted Learning Method for Quantitative Trait Loci Mapping (2014) (5)
- Intervening on the Data to Improve the Performance of Health Plan Payment Methods (2018) (4)
- An Overview of Statistical Approaches for Comparative Effectiveness Research (2017) (4)
- Rose and van der Laan respond to "Some advantages of the relative excess risk due to interaction". (2014) (4)
- Advancing primary care with Artificial Intelligence and Machine Learning (2022) (4)
- Ethics methods are required as part of reporting guidelines for artificial intelligence in healthcare (2022) (4)
- Nested Case-Control Risk Score Prediction (2011) (3)
- The Good News about Desktop Learning. (1997) (3)
- Revisiting performance metrics for prediction with rare outcomes (2021) (3)
- Response to invited commentary. Rose et al. respond to "G-computation and standardization in epidemiology". (2011) (3)
- Identifying undercompensated groups defined by multiple attributes in risk adjustment (2021) (2)
- Why Match? Matched Case-Control Studies (2011) (2)
- Targeted Learning for Causality and Statistical Analysis in Medical Research (2012) (2)
- Patterns of Mental Health Care Before Initiation of Telemental Health Services (2021) (2)
- Introduction to TMLE (2011) (2)
- Sample Selection for Medicare Risk Adjustment Due to Systematically Missing Data (2018) (2)
- Impact of an Episode-Based Payment Initiative by Commercial Payers in Arkansas on Procedure Volume: an Observational Study (2019) (2)
- Causal Inference for Nested Case-Control Studies using Targeted Maximum Likelihood Estimation (2009) (2)
- Independent Case-Control Studies (2011) (2)
- A cohort study examining changes in treatment patterns for alcohol use disorder among commercially insured adults in the United States during the COVID-19 pandemic (2022) (2)
- Conditional cross-design synthesis estimators for generalizability in medicaid. (2021) (1)
- Why Machine Learning Cannot Ignore Maximum Likelihood Estimation (2021) (1)
- Targeted Learning for Variable Importance (2016) (1)
- 2014 articles of the year, reviewers of the year, and figure of the year (2015) (1)
- Consistent Estimation of Propensity Score Functions with Oversampled Exposed Subjects (2018) (1)
- Classifying lung cancer stage from health care claims with a clinical algorithm or a machine-learning approach. (2018) (1)
- A Generalizable Data Assembly Algorithm for Modeling Ebola Virus Disease in the Eastern DR Congo (2019) (1)
- Considerations for outcome‐dependent biased sampling in health databases (2019) (1)
- Sequential Super Learning (2018) (1)
- Implications of family risk pooling for individual health insurance markets (2017) (1)
- A conversation with Sherri Rose, winner of the 2020 health policy statistics section mid-career award (2020) (1)
- A conversation with Elizabeth A. Stuart (2016) (1)
- Statisticians' Place in Big Data (2013) (1)
- Defining the Model and Parameter (2011) (0)
- Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms. (2021) (0)
- The Center for Interdisciplinary Studies in Security and Privacy Summer Workshop (2012) (0)
- Targeted Learning for Pre-Analysis Plans in Public Health and Health Policy Research (2015) (0)
- ‘Que cherchent-ils au Ciel?’: Seeing with the Blind in Bruegel, Baudelaire and Maeterlinck (2018) (0)
- Variation in Colonoscopy Quality Across Physicians in a Large, Multicenter Study (2017) (0)
- The International Journal of Biostatistics Simple Optimal Weighting of Cases and Controls in Case-Control Studies (2011) (0)
- Saturday abstractSa1455 The Impact of Exclusion Criteria on a Physician's Adenoma Detection Rate (2015) (0)
- Matching and Imputation Methods for Risk Adjustment in the Health Insurance Marketplaces (2015) (0)
- Development of Automated Classifier of Diabetic Retinopathy using Datasets by Machine Learning (2019) (0)
- Analysis of Automated Classifier of Diabetic Retinopathy using Datasets by Machine Learning (2019) (0)
- Uncertainty in lung cancer stage for survival estimation via set‐valued classification (2021) (0)
- Practice of Epidemiology Mortality Risk Score Prediction in an Elderly Population Using Machine Learning (2013) (0)
- Statistical Fit and Algorithmic Fairness in Risk Adjustment for Health Policy (2018) (0)
- Association Between Telemedicine Use in Nonmetropolitan Counties and Quality of Care Received by Medicare Beneficiaries With Serious Mental Illness (2022) (0)
- Introduction to R Code Implementation (2011) (0)
- Nonparametric Bayesian Instrumental Variable Analysis: Evaluating Heterogeneous Effects of Arterial Access Sites for Opening Blocked Blood Vessels (2018) (0)
- Medical schools in fragile and conflict-affected states: A global, country-level analysis (2015) (0)
- Targeted Learning of The Probability of Success of An In Vitro Fertilization Program Controlling for Time-dependent Confounders (2012) (0)
- Measuring concordance of data sources used for infectious disease research in the USA: a retrospective data analysis (2023) (0)
- Iconographies supplémentaires de l'article : Sa1455 The Impact of Exclusion Criteria on a Physician's Adenoma Detection Rate (2015) (0)
- Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations (2022) (0)
- IMPLEMENTATION OF G-COMPUTATION ON A SIMULATED DATASET FOR CAUSAL INFERENCE (2010) (0)
- A Guide to Causal Parameters in Case-Control Designs: Targeted Maximum Likelihood Estimation (2008) (0)
- Data Source Concordance for Infectious Disease Epidemiology (2022) (0)
- A generalizable data assembly algorithm for infectious disease outbreaks (2021) (0)
- Many Clinicians Implement Digital Equity Strategies To Treat Opioid Use Disorder. (2023) (0)
- Causal Inference for Case-Control Studies - eScholarship (2011) (0)
- Targeted Methods for Finding Quantitative (2011) (0)
- Variation in Physician Colonoscopy Quality Across Multiple Health Systems (2017) (0)
- Are You Looking for Madame or Maman? Role Playing the French Professor and the Mother in Academia (2020) (0)
- Limitations of P-Values and R2 for Stepwise Regression Building: A Fairness Demonstration in Health Policy Risk Adjustment Sherri Rose and Thomas G. McGuire Department of Health Care Policy, Harvard Medical School, Boston, MA (2018) (0)
- Foundations of TMLE (2011) (0)
- Stacked Propensity Score Functions for Observational Cohorts with Oversampled Exposed Subjects (2018) (0)
- Research Questions in Data Science (2018) (0)
- Title: A Generalizable Data Assembly Algorithm for Infectious Disease Outbreaks (2021) (0)
- Long-Term Prospects for Telemedicine in Opioid Use Disorder (OUD) Treatment: Results from a Longitudinal Survey of OUD Clinicians (2023) (0)
- Chapter 2 Defining the Model and Parameter (2019) (0)
- Su1634 Serrated Polyp Detection Is Related to Specialty Training and Colonoscopy Volume: Results From a Large Multicenter Colonoscopy Quality Study (2017) (0)
- Fair Regression for Healthcare Spending (2020) (0)
- Targeted Methods for Finding Quantitative Trait Loci (2011) (0)
- Discussion on “Approval policies for modifications to machine learning‐based software as a medical device: A study of biocreep” by Jean Feng, Scott Emerson, and Noah Simon (2020) (0)
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