World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
56
Citations
32302
World Ranking
714
National Ranking
355

Marie Davidian publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Marie Davidian sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 170 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Marie Davidian D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Marie Davidian sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 56 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, exploring related online degrees can open diverse career prospects. Programs like the fastest online mba programs offer accelerated learning options, ideal for those who wish to blend mathematical skills with business leadership swiftly.

Additionally, specialized fields such as digital marketing benefit from data-driven decision-making. Those interested might consider an ms in digital marketing degree cost usa as a way to gain affordable education with promising earnings.

For professionals aiming to pivot careers or enhance their credentials efficiently, the one year mba programs provide intensive curriculum designed to be completed in a short duration without compromising on quality.

Furthermore, credit transfer options are a critical consideration. Prospective students often ask, can you transfer mba credits? Understanding transfer policies helps in planning a flexible and cost-effective educational journey.

Best Scientists Citing Marie Davidian

Trending Scientists

Recently Published Articles