Byron J. Gajewski

Also affiliated with University of Kansas Medical Center

MathematicsEconomics, Econometrics and FinanceMedicine

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 100%percentile

0Author DataRank

Indexed papers

1in 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 1 indexed paper 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 →

Papers

Driven by 34 papers. Top paper: “Weight loss in primary care: A pooled analysis of two pragmatic cluster‐randomized trials”.

Weight loss in primary care: A pooled analysis of two pragmatic cluster‐randomized trials

Obesity(2021)10.1002/oby.23292

N/A

0.598DataRank · unranked

11 citations

John W. Apolzan, Byron J. Gajewski, William D. Johnson, Corby K. Martin, Robert L. Newton +4 more

DHA, nutrient intake, and maternal characteristics as predictors of pregnancy outcomes in a randomised clinical trial of DHA supplementation

Clinical Nutrition(2023)10.1016/j.clnu.2023.09.005

N/A

0.419DataRank · unranked

9 citations

Byron J. Gajewski, Christina J. Valentine, Sarah Crawford, Alexandra R. Brown, Dinesh Pal Mudaranthakam +3 more

How a Bayesian Might Estimate the Distribution of Cronbach’s Alpha From Ordinal-Dynamic Scaled Data

Methodology(2010)10.1027/1614-2241/a000008

N/A

0.269DataRank · unranked

5 citations

Diane K. Boyle, Sarah Thompson, Byron J. Gajewski

A novel Bayesian adaptive design incorporating both primary and secondary endpoints for randomized IIB chemoprevention study of women at increased risk for breast cancer

Trials(2022)10.1186/s13063-022-06930-5

N/A

0.241DataRank · unranked

4 citations

Bruce F. Kimler, Devin C. Koestler, Dinesh Pal Mudaranthakam, Kate Young, Carol J. Fabian +1 more

Selection of a statistical analysis method for the Glasgow Outcome Scale‐Extended endpoint for estimating the probability of favorable outcome in future severe TBI clinical trials

Statistics in Medicine(2023)10.1002/sim.9877

N/A

0.208DataRank · unranked

3 citations

Sharon D. Yeatts, Renee Martin, Robert Silbergleit, Gaylan L. Rockswold, William G. Barsan +4 more

Use of Pre-Enrollment Randomization and Delayed Consent to Maximize Participation in a Clinical Trial of Opt-In versus Opt-Out Tobacco Treatment

Substance Abuse(2022)10.1080/08897077.2022.2060441

N/A

0.165DataRank · unranked

2 citations

Laura M. Mussulman, Niaman Nazir, Edward F. Ellerbeck, Elena Shergina, Taneisha S. Scheuermann +4 more

Overcoming challenges in conducting early phase breast cancer prevention trials: Bazedoxifene and conjugated estrogens vs waitlist control

Contemporary Clinical Trials(2024)10.1016/j.cct.2024.107697

N/A

0.104DataRank · unranked

1 citations

Dinesh Pal Mudaranthakam, Byron J. Gajewski, Kate Young, Onalisa Winblad, Seema A. Khan +14 more

Enhancing DHA supplementation adherence: A Bayesian approach with finite mixture models and irregular interim schedules in adaptive trial designs

Statistical Methods in Medical Research(2024)10.1177/09622802241283165

N/A

0.104DataRank · unranked

1 citations

Samuel S. Boyd, Susan E. Carlson, Danielle Christifano, Gene T Lee, Sharla Smith +2 more

Docosahexaenoic acid (DHA) intake estimated from a 7-question survey identifies pregnancies most likely to benefit from high-dose DHA supplementation

Clinical Nutrition ESPEN(2022)10.1016/j.clnesp.2022.12.004

N/A

0DataRank · unranked

14 citations

Sarah Crawford, Gene Lee, Alexandra R. Brown, J T Camargo, Elizabeth H. Kerling +6 more

Optimizing a Bayesian hierarchical adaptive platform trial design for stroke patients

Trials(2022)10.1186/s13063-022-06664-4

N/A

0DataRank · unranked

10 citations

Byron J. Gajewski, Jo Wick, Jonathan Beall, Jeffrey L. Saver, Caitlyn Meinzer +9 more

Bayesian adaptive design for pediatric clinical trials incorporating a community of prior beliefs

BMC Medical Research Methodology(2022)10.1186/s12874-022-01569-x

N/A

0DataRank · unranked

7 citations

James Travis, Byron J. Gajewski, Yu Wang

Higher Diet Quality in Latina Women during Pregnancy May Be Associated with Sociodemographic Factors

International Journal of Environmental Research and Public Health(2022)10.3390/ijerph192113895

N/A

0DataRank · unranked

6 citations

Matthew K. Taylor, Byron J. Gajewski, Susan E. Carlson, Debra K. Sullivan, Heather Gibbs +1 more

A secondary analysis of PAIN‐CONTRoLS: Pain's impact on sleep, fatigue, and activities of daily living

Muscle & Nerve(2022)10.1002/mus.27637

N/A

0DataRank · unranked

5 citations

Alexandra R. Brown, Byron J. Gajewski, Kim S. Kimminau, Lemuel R. Waitman, Mamatha Pasnoor +3 more

Bayesian Hierarchical Factor Analysis for Efficient Estimation Across Race/Ethnicity

Revista Colombiana de Estadística(2021)10.15446/rce.v44n2.87690

N/A

0DataRank · unranked

2 citations

Lauren Clark, Peng Shi, Vincent S. Staggs, Christine Makosky Daley, Byron J. Gajewski +1 more

The value of a two-armed Bayesian response adaptive randomization trial

Journal of Biopharmaceutical Statistics(2022)10.1080/10543406.2022.2148161

N/A

0DataRank · unranked

3 citations

Susan E. Carlson, Alexandra R. Brown, Dinesh Pal Mudaranthakam, Elizabeth H. Kerling, Christina J. Valentine +1 more

Bolstering the complex study start-up process at NCI cancer centers using technology

Contemporary Clinical Trials Communications(2022)10.1016/j.conctc.2022.101050

N/A

0DataRank · unranked

3 citations

Sam Pepper, Alexander Alsup, Tara L. Lin, Natalie Streeter, Jeffrey Thompson +4 more

Statistical assessment of the prognostic and the predictive value of biomarkers-A biomarker assessment framework with applications to traumatic brain injury biomarker studies

Research Methods in Medicine & Health Sciences(2022)10.1177/26320843221141056

N/A

0DataRank · unranked

3 citations

Kate Young, John Tsimikas, Brian R. Mosier, Byron J. Gajewski, Sharon D. Yeatts +6 more

Prediction of RECRUITment In randomized clinical Trials (RECRUIT-IT)-rationale and design for an international collaborative study [study protocol].

BORIS (University Library Bern)(2020)10.7892/boris.146085

N/A

0DataRank · unranked

0 citations

Junhao Liu, Yu Jiang, Byron J. Gajewski, Cen Wu, Erik von Elm +20 more

Micronutrient Gaps and Supplement Use in a Diverse Cohort of Pregnant Women

Nutrients(2023)10.3390/nu15143228

N/A

0DataRank · unranked

11 citations

Alexandra R. Brown, Juliana Teruel Camargo, Elizabeth H. Kerling, Susan E. Carlson, Byron J. Gajewski +3 more

Designing and analyzing clinical trials for personalized medicine via Bayesian models

Pharmaceutical Statistics(2021)10.1002/pst.2095

N/A

0DataRank · unranked

6 citations

Matthew S. Mayo, Jo Wick, Byron J. Gajewski, Chuanwu Zhang

Conducting a bayesian multi-armed trial with response adaptive randomization for comparative effectiveness of medications for CSPN

Contemporary Clinical Trials Communications(2023)10.1016/j.conctc.2023.101220

N/A

0DataRank · unranked

2 citations

Byron J. Gajewski, Dinesh Pal Mudaranthakam, Mamatha Pasnoor, Mazen M. Dimachkie, Omar Jawdat +4 more

The need to study rural cancer outcome disparities at the local level: a retrospective cohort study in Kansas and Missouri

BMC Public Health(2021)10.1186/s12889-021-12190-w

N/A

0DataRank · unranked

16 citations

Lynn Chollet‐Hinton, John Keighley, Audrey Chang, Dinesh Pal Mudaranthakam, David Streeter +4 more

Using Bayesian hierarchical models for controlled post hoc subgroup analysis of clinical trials: application to smoking cessation treatment in American Indians and Alaska Natives

Journal of Biopharmaceutical Statistics(2023)10.1080/10543406.2023.2233598

N/A

0DataRank · unranked

1 citations

Kimber P. Richter, Christine Makosky Daley, Babalola Faseru, Won S. Choi, Byron J. Gajewski +1 more

Using a Bayesian model of the joint distribution of pain and time on medication to decide on pain medication for neuropathy

Communications in Statistics Case Studies Data Analysis and Applications(2023)10.1080/23737484.2023.2212262

N/A

0DataRank · unranked

0 citations

Jo Wick, Alexandra R. Brown, Richard J. Barohn, Byron J. Gajewski, Guangyi Gao

Implementation of statistical features of a Bayesian two-armed responsive adaptive randomization trial with post hoc analysis of time trend drift

Journal of Biopharmaceutical Statistics(2024)10.1080/10543406.2024.2359149

N/A

0DataRank · unranked

0 citations

Kimber P. Richter, Chuanwu Zhang, Laura M. Mussulman, Niaman Nazir, Byron J. Gajewski +1 more

Ethnicity modifies the relationship between added sugars and fructose exposure in the first 1000 days and offspring body composition at 24 months

Nutrition Research(2025)10.1016/j.nutres.2025.04.009

N/A

0DataRank · unranked

1 citations

Byron J. Gajewski, Susan E. Carlson, John Colombo, Danielle Christifano, Debra K. Sullivan +2 more

Using Previous Longitudinal Group Randomized Rural Weight Loss Study Data to Design A Prospective Rural Weight Loss Trial

International Journal of Clinical Biostatistics and Biometrics(2025)10.23937/2469-5831/1510058

N/A

0DataRank · unranked

0 citations

Byron J. Gajewski, Matthew S. Mayo, Edward F. Ellerbeck, Christie A. Befort, Alexandra R. Brown

Protocol for the rural engagement in TelemedTeam for options in obesity treatment solutions (RE-TOOL): Cluster randomized trial investigating team-based telemedicine in rural primary care

Contemporary Clinical Trials Communications(2025)10.1016/j.conctc.2025.101559

N/A

0DataRank · unranked

0 citations

Edward F. Ellerbeck, Debra K. Sullivan, Eve‐Lynn Nelson, Jennifer R. Klemp, Byron J. Gajewski +3 more

Integrating a pilot study and large trial into one adaptive design

Contemporary Clinical Trials(2025)10.1016/j.cct.2025.108112

N/A

0DataRank · unranked

0 citations

Byron J. Gajewski, Elena Shergina, Rebecca Mount, Heather Gibbs, Jun Dai

Bayesian enrollment modeling for several emergency medicine clinical trials

Trials(2025)10.1186/s13063-025-08748-3

N/A

0DataRank · unranked

0 citations

Sharon D. Yeatts, Robert Silbergleit, Lori Shutter, Frederick K. Korley, Byron J. Gajewski +1 more

A Bayesian model with seasonal effects for predicting accrual in clinical trials: Application to HOBIT and BOOST-3 trials for severe traumatic brain injury

Contemporary Clinical Trials Communications(2025)10.1016/j.conctc.2025.101586

N/A

0DataRank · unranked

0 citations

M Saif, Jonathan Beall, Renee Martin, Gaylan L. Rockswold, William G. Barsan +5 more

Comparative Effectiveness Research using Bayesian Adaptive Designs for Rare Diseases: Response Adaptive Randomization Reusing Participants

Statistics in Biopharmaceutical Research(2021)10.1080/19466315.2021.1961854

N/A

0DataRank · unranked

1 citations

Byron J. Gajewski, Fengming Tang

Improving the efficiency of clinical trials by standardizing processes for Investigator Initiated Trials

Contemporary Clinical Trials Communications(2020)10.1016/j.conctc.2020.100579

N/A

0DataRank · unranked

6 citations

Milind A. Phadnis, Ron Krebill, Lauren Clark, Jo Wick, Jeffrey Thompson +5 more

Nutrition Literacy Among Latina/x People During Pregnancy Is Associated With Socioeconomic Position

Journal of the Academy of Nutrition and Dietetics(2022)10.1016/j.jand.2022.05.011

N/A

0DataRank · unranked

17 citations

Mariana Ramírez, Byron J. Gajewski, Debra K. Sullivan, Susan E. Carlson, Heather Gibbs +1 more