Michael J. Daniels

MathematicsAgricultural and Biological SciencesComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 2%percentile

3.3Author DataRank

Indexed papers

2in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Modeling disease trajectory in Duchenne muscular dystrophy

Neurology(2020)10.1212/wnl.0000000000009244

Top 7%

3.0DataRank

Top 7%73 citations

Yosef A. Berlow, William Triplett, Sean C. Forbes, Rebecca J. Willcocks, Dah-Jyuu Wang +17 more

Papers

Driven by 34 papers — median percentile 66. Top paper: “MR biomarkers predict clinical function in Duchenne muscular dystrophy”.

MR biomarkers predict clinical function in Duchenne muscular dystrophy

Neurology(2020)10.1212/wnl.0000000000009012

N/A

3.5DataRank · unranked

92 citations

Rebecca J. Willcocks, William Triplett, Sean C. Forbes, Michael J. Daniels, Saptarshi Chakraborty +12 more

Modeling disease trajectory in Duchenne muscular dystrophy

Neurology(2020)10.1212/wnl.0000000000009244

Top 7%

3.0DataRank

Top 7%73 citations

Yosef A. Berlow, William Triplett, Sean C. Forbes, Rebecca J. Willcocks, Dah-Jyuu Wang +17 more

Prenatal weight and regional body composition trajectories and neonatal body composition: The NICHD Foetal Growth Studies

Pediatric Obesity(2023)10.1111/ijpo.12994

Top 61%

0.241DataRank

Top 61%4 citations

Natalie Burns, Linda G. Kahn, Jagteshwar Grewal, Grant Backlund, Amy R. Nichols +13 more

Adjusting for selection bias due to missing data in electronic health records-based research

Statistical Methods in Medical Research(2021)10.1177/09622802211027601

N/A

0DataRank · unranked

38 citations

David Arterburn, Karen J. Coleman, Lisa J. Herrinton, Michael J. Daniels, Sebastien Haneuse +1 more

Characterizing Expiratory Respiratory Muscle Degeneration in Duchenne Muscular Dystrophy Using MRI

CHEST Journal(2021)10.1016/j.chest.2021.08.078

N/A

0DataRank · unranked

18 citations

Donovan J. Lott, Abhinandan Batra, William Triplett, Rebecca J. Willcocks, Sean C. Forbes +6 more

Bayesian Semi-parametric G-computation For Causal Inference in a Cohort Study with Mnar Dropout and Death

Journal of the Royal Statistical Society Series C (Applied Statistics)(2021)10.1111/rssc.12464

N/A

0DataRank · unranked

0 citations

Michael J. Daniels, Maria Josefsson

A Bayesian semiparametric approach for inference on the population partly conditional mean from longitudinal data with dropout

Biostatistics(2021)10.1093/biostatistics/kxab012

N/A

0DataRank · unranked

0 citations

Michael J. Daniels, Sara Pudas, Maria Josefsson

Variable Selection Using Bayesian Additive Regression Trees

arXiv (Cornell University)(2021)10.48550/arxiv.2112.13998

N/A

0DataRank · unranked

0 citations

Michael J. Daniels, Chuji Luo

Development of Contractures in DMD in Relation to MRI-Determined Muscle Quality and Ambulatory Function

Journal of Neuromuscular Diseases(2022)10.3233/jnd-210731

N/A

0DataRank · unranked

14 citations

Alison M. Barnard, Ryan J. Wortman, Claudia R. Senesac, Donovan J. Lott, Ann T. Harrington +11 more

Evaluating Genetic Modifiers of Duchenne Muscular Dystrophy Disease Progression Using Modeling and MRI

Neurology(2022)10.1212/wnl.0000000000201163

N/A

0DataRank · unranked

10 citations

David W. Hammers, William Triplett, Sarah Kim, Sean C. Forbes, Rebecca J. Willcocks +11 more

Flexible evaluation of surrogacy in Bayesian adaptive platform studies

arXiv (Cornell University)(2022)10.48550/arxiv.2208.09869

N/A

0DataRank · unranked

0 citations

Erin E. Gabriel, Alessio Crippa, Michael J. Daniels, Michael C. Sachs

Multivariate modeling of magnetic resonance biomarkers and clinical outcome measures for Duchenne muscular dystrophy clinical trials

CPT Pharmacometrics & Systems Pharmacology(2023)10.1002/psp4.13021

N/A

0DataRank · unranked

11 citations

Rebecca J. Willcocks, Michael J. Daniels, Juan Francisco Morales, Deok Yong Yoon, William Triplett +9 more

Clinical importance of changes in magnetic resonance biomarkers for Duchenne muscular dystrophy

Annals of Clinical and Translational Neurology(2023)10.1002/acn3.51933

N/A

0DataRank · unranked

8 citations

Alison M. Barnard, Michael J. Daniels, Sean C. Forbes, William Triplett, John F. Brandsema +10 more

Joint modeling the frequency and duration of accelerometer‐measured physical activity from a lifestyle intervention trial

Statistics in Medicine(2023)10.1002/sim.9903

N/A

0DataRank · unranked

6 citations

Michael J. Daniels, Gül İnan, Samuel L. Battalio, Bonnie Spring, Donald Hedeker +1 more

Joint modeling in presence of informative censoring on the retrospective time scale with application to palliative care research

Biostatistics(2023)10.1093/biostatistics/kxad028

N/A

0DataRank · unranked

2 citations

Michael J. Daniels, Areej El‐Jawahri, Marie Bakitas, Zhigang Li, Quran Wu

Flexible evaluation of surrogacy in platform studies

Biostatistics(2023)10.1093/biostatistics/kxac053

N/A

0DataRank · unranked

4 citations

Erin E. Gabriel, Alessio Crippa, Michael J. Daniels, Michael C. Sachs

Dirichlet Process Mixture Models for the Analysis of Repeated Attempt Designs

Biometrics(2023)10.1111/biom.13894

N/A

0DataRank · unranked

1 citations

Minji Lee, Wei Feng, Michael J. Daniels

Truncation Approximation for Enriched Dirichlet Process Mixture Models

arXiv (Cornell University)(2023)10.48550/arxiv.2305.01631

N/A

0DataRank · unranked

0 citations

Michael J. Daniels, Natalie Burns

A Bayesian Non-parametric Approach for Causal Mediation with a Post-treatment Confounder

arXiv (Cornell University)(2023)10.48550/arxiv.2305.05017

N/A

0DataRank · unranked

0 citations

Michael J. Daniels, Michael G. Perri, Woojung Bae

Dirichlet process mixture models for the Analysis of Repeated Attempt Designs

arXiv (Cornell University)(2023)10.48550/arxiv.2305.05099

N/A

0DataRank · unranked

0 citations

Minji Lee, Wei Feng, Michael J. Daniels

Long-term memory effects of an incremental blood pressure intervention in a mortal cohort

arXiv (Cornell University)(2023)10.48550/arxiv.2311.00357

N/A

0DataRank · unranked

0 citations

Nina Karalija, Michael J. Daniels, Maria Josefsson

Variable Selection Using Bayesian Additive Regression Trees

Statistical Science(2024)10.1214/23-sts900

N/A

0DataRank · unranked

9 citations

Michael J. Daniels, Chuji Luo

Five multivariate Duchenne muscular dystrophy progression models bridging six-minute walk distance and MRI relaxometry of leg muscles

Journal of Pharmacokinetics and Pharmacodynamics(2024)10.1007/s10928-024-09910-1

N/A

0DataRank · unranked

6 citations

Michael J. Daniels, Rebecca J. Willcocks, William Triplett, Juan Francisco Morales, Glenn A. Walter +4 more

Augmentation Samplers for Multinomial Probit Bayesian Additive Regression Trees

Journal of Computational and Graphical Statistics(2024)10.1080/10618600.2024.2388605

N/A

0DataRank · unranked

1 citations

Joseph W. Hogan, Michael J. Daniels, Rami Kantor, Ann Mwangi, Yizhen Xu

Approximate Cross-Validated Mean Estimates for Bayesian Hierarchical Regression Models

Journal of Computational and Graphical Statistics(2024)10.1080/10618600.2024.2404711

N/A

0DataRank · unranked

1 citations

Michael J. Daniels, Changcheng Li, Le Bao, A. Q. Zhang

A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study

Biostatistics(2024)10.1093/biostatistics/kxaf027

N/A

0DataRank · unranked

1 citations

Michael J. Daniels, Maria Josefsson, Donald M. Lloyd‐Jones, Juned Siddique, Subir Kumar Bhandari

A Bayesian nonparametric approach for multiple mediators with applications in mental health studies

Biostatistics(2024)10.1093/biostatistics/kxad038

N/A

0DataRank · unranked

3 citations

Michael J. Daniels, Jason Roy, Samrat Roy

A Bayesian nonparametric approach for causal mediation with a post-treatment confounder

Biometrics(2024)10.1093/biomtc/ujae099

N/A

0DataRank · unranked

2 citations

Michael J. Daniels, Michael G. Perri, Woojung Bae

A model‐informed clinical trial simulation tool with a graphical user interface for Duchenne muscular dystrophy

CPT Pharmacometrics & Systems Pharmacology(2024)10.1002/psp4.13246

N/A

0DataRank · unranked

2 citations

Juan Francisco Morales, Sanghoon Kang, Marian Klose, Rebecca J. Willcocks, Michael J. Daniels +6 more

Bayesian feature selection in joint models with application to a cardiovascular disease cohort study

arXiv (Cornell University)(2024)10.48550/arxiv.2412.00885

N/A

0DataRank · unranked

0 citations

Michael J. Daniels, Zeynab Aghabazaz, Juned Siddique, Mirajul Islam

A New Algorithm for Sampling Parameters in a Structured Correlation Matrix With Application to Estimating Optimal Combinations of Muscles to Quantify Progression in Duchenne Muscular Dystrophy

Statistics in Medicine(2025)10.1002/sim.70252

N/A

0DataRank · unranked

0 citations

Michael J. Daniels, William D. Rooney, Rebecca J. Willcocks, Glenn A. Walter, Krista Vandenborne +1 more

Identification and estimation of causal mechanisms in cluster-randomized trials with post-treatment confounding using Bayesian nonparametrics

arXiv (Cornell University)(2025)10.48550/arxiv.2510.16673

N/A

0DataRank · unranked

0 citations

Michael J. Daniels, Lei Yang, Fan Li, Yuki Ohnishi

A Bayesian nonparametric approach for evaluating the causal effect of treatment in randomized trials with semi-competing risks

Biostatistics(2020)10.1093/biostatistics/kxaa008

N/A

0DataRank · unranked

19 citations

Daniel O. Scharfstein, Peter Müller, Michael J. Daniels, Yanxun Xu

Upper and Lower Extremities in Duchenne Muscular Dystrophy Evaluated with Quantitative MRI and Proton MR Spectroscopy in a Multicenter Cohort

Radiology(2020)10.1148/radiol.2020192210

N/A

0DataRank · unranked

42 citations

Harneet Arora, Rebecca J. Willcocks, William Triplett, William D. Rooney, Alison M. Barnard +13 more

Michael J. Daniels

Indexed papers

Top data-sharing exemplar

Papers