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D-Index & Metrics

Mathematics

D-Index
56
Citations
32302
World Ranking
714
National Ranking
354

Research.com Recognitions

  • 2006 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1998 - Fellow of the American Statistical Association (ASA)

Overview

Marie Davidian is affiliated with North Carolina State University in the United States. Their research encompasses fields primarily related to mathematics and medicine, with a focus on statistical methods and their applications in clinical and health-related studies.

The main fields of study for Marie Davidian include:

  • Mathematics
  • Medicine

Within those fields, subfields of particular emphasis are:

  • Statistics and Probability
  • Oncology
  • Infectious Diseases
  • Economics and Econometrics
  • Health

Their research topics cover various advanced techniques and applications, including:

  • Statistical Methods in Clinical Trials
  • Advanced Causal Inference Techniques
  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Health Systems, Economic Evaluations, Quality of Life
  • Vaccine Coverage and Hesitancy
  • Breast Cancer Treatment Studies

Marie Davidian has contributed frequently to several publication venues, such as:

  • arXiv (Cornell University)
  • Biometrics
  • UNC Libraries
  • Nature Medicine
  • Statistics in Medicine

Frequent coauthors in their collaborative research include:

  • Anastasios A. Tsiatis
  • Eric B. Laber
  • Peter Norwood
  • Christina Yau
  • Philip Beineke

Among recent publications authored or coauthored by Marie Davidian are:

  • "Datopotamab-deruxtecan plus durvalumab in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial" (2024, Nature Medicine)
  • "Datopotamab-deruxtecan in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial" (2024, Nature Medicine)
  • "Behavioral cancer pain intervention dosing: results of a Sequential Multiple Assignment Randomized Trial" (2023, Pain)
  • "Telehealth and racial disparities in colorectal cancer screening: A pilot study of how virtual clinician characteristics influence screening intentions" (2022, Journal of Clinical and Translational Science)
  • "A Pilot Study Examining the Efficacy of Delivering Colorectal Cancer Screening Messages via Virtual Health Assistants" (2021, American Journal of Preventive Medicine)

Marie Davidian has been recognized as a Fellow of the American Association for the Advancement of Science since 2006 and a Fellow of the American Statistical Association since 1998.

Best Publications

  • Nonlinear Models for Repeated Measurement Data

    Marie Davidian;David M. Giltinan

  • Hierarchical Linear Models: Applications and Data Analysis Methods

    Marie Davidian

  • Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study

    Jared K. Lunceford;Marie Davidian

  • Doubly Robust Estimation of Causal Effects

    Michele Jonsson Funk;Daniel Westreich;Chris Wiesen;Til Stürmer

  • Comment: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data

    Anastasios A. Tsiatis;Marie Davidian

  • Variance Function Estimation

    Marie Davidian;Raymond J. Carroll

  • A Robust Method for Estimating Optimal Treatment Regimes

    Baqun Zhang;Anastasios A. Tsiatis;Eric B. Laber;Marie Davidian

  • Nonlinear models for repeated measurement data: An overview and update

    Marie Davidian;David M. Giltinan

  • Linear mixed models with flexible distributions of random effects for longitudinal data.

    Daowen Zhang;Marie Davidian

  • Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: a principled yet flexible approach.

    Anastasios A. Tsiatis;Marie Davidian;Min Zhang;Xiaomin Lu

  • A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error

    Anastasios A. Tsiatis;Marie Davidian

  • Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data

    Weihua Cao;Anastasios A. Tsiatis;Marie Davidian

  • The nonlinear mixed effects model with a smooth random effects density

    Marie Davidian;A. Ronald Gallant

  • Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes.

    Phillip J. Schulte;Anastasios A. Tsiatis;Eric B. Laber;Marie Davidian

  • Estimating optimal treatment regimes from a classification perspective

    Baqun Zhang;Anastasios A. Tsiatis;Marie Davidian;Min Zhang

  • The analysis of multivariate longitudinal data: a review.

    Geert Verbeke;Steffen Fieuws;Geert Molenberghs;Geert Molenberghs;Marie Davidian

  • A semiparametric likelihood approach to joint modeling of longitudinal and time-to-event data.

    Xiao Song;Marie Davidian;Anastasios A. Tsiatis

  • HIV dynamics: Modeling, data analysis, and optimal treatment protocols

    B. M. Adams;H. T. Banks;M. Davidian;Hee-Dae Kwon

  • Improving efficiency of inferences in randomized clinical trials using auxiliary covariates.

    Min Zhang;Anastasios A. Tsiatis;Marie Davidian

  • Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions

    Baqun Zhang;Anastasios A. Tsiatis;Eric B. Laber;Marie Davidian

Frequent Co-Authors

Anastasios A. Tsiatis
Anastasios A. Tsiatis North Carolina State University
Eric S. Rosenberg
Eric S. Rosenberg Harvard University
Harvey Thomas Banks
Harvey Thomas Banks North Carolina State University
Leonard A. Stefanski
Leonard A. Stefanski North Carolina State University
Raymond J. Carroll
Raymond J. Carroll Texas A&M University
Robert A. Harrington
Robert A. Harrington Cornell University
Robert M. Califf
Robert M. Califf Duke University
Michael G. Kenward
Michael G. Kenward London School of Hygiene & Tropical Medicine
A. Ronald Gallant
A. Ronald Gallant Pennsylvania State University

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