David Swanson

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Assistant Professor

The University of Texas MD Anderson Cancer Center

United States

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David Swanson is an Assistant Professor at The University of Texas MD Anderson Cancer Center. His research focuses on biostatistics, particularly in the areas of regression models, survival analysis, and clinical trial methodologies. Recent articles authored by Professor Swanson include studies on HPV circulating cell-free DNA in cervical cancer patients, analgesic effects of various medications on postoperative pain, and advanced statistical models for high-dimensional data.

Recent Grants

Grant: Close

T32 Training Grant

Open Date: 2012-05-01

Close Date: 2013-05-01

Grant: Close

NSF Graduate Research Fellowship

Open Date: 2009-09-01

Close Date: 2013-05-01

Articles (11)

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2025

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2020

Collaborators (6)

Aradhana Venkatesan

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Fredrik Wärnberg

Professor breast surgery

Karolinska University Hospital

SWEDEN

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Megan Jacobsen

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Shu Jiang

Assistant Professor

Washington University in Saint Louis School of Medicine

UNITED STATES

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Jeremiah Sanders

Assistant Professor and Associate Consultant

Mayo Clinic

UNITED STATES

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Peng Wei

Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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David Swanson

Research Interests

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About

Recent Grants

Articles (11)

Human Papilloma Virus Circulating Cell-Free DNA Kinetics in Patients with Cervical Cancer Undergoing Definitive Chemoradiation

A simultaneous confidence-bounded true discovery proportion perspective on localizing differences in smooth terms in regression models

A Weibull mixture cure frailty model for high-dimensional covariates

Correction to: Analgesic effect of oral paracetamol 1000 mg/ibuprofen 400 mg, paracetamol 1000 mg/codeine 60 mg, paracetamol 1000 mg/ibuprofen 400 mg/codeine 60 mg, or placebo on acute postoperative pain: a single‑dose, randomized, and double‑blind study

A Weibull Mixture Cure Frailty Model for High-dimensional Covariates

Analgesic effect of oral paracetamol 1000 mg/ibuprofen 400 mg, paracetamol 1000 mg/codeine 60 mg, paracetamol 1000 mg/ibuprofen 400 mg/codeine 60 mg, or placebo on acute postoperative pain: a single-dose, randomized, and double-blind study

Outcomes after PD-103 versus I-125 for Low Dose Rate Prostate Brachytherapy Monotherapy: An International, Multi-Institutional Study

Analgesic effect of oral ibuprofen 400, 600, and 800 mg; paracetamol 500 and 1000 mg; and paracetamol 1000 mg plus 60 mg codeine in acute postoperative pain: a single-dose, randomized, placebo-controlled, and double-blind study

Estimation of the censoring distribution in clinical trials

Contrasting DCIS and invasive breast cancer by subtype suggests basal-like DCIS as distinct lesions.

Localizing differences in smooths with simultaneous confidence bounds on the true discovery proportion

Collaborators (6)

Aradhana Venkatesan

Fredrik Wärnberg

Megan Jacobsen

Shu Jiang

Jeremiah Sanders

Peng Wei

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