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Unsupervised clustering using multiple correspondence analysis reveals clinically-relevant demographic variables across multiple gastrointestinal cancers

Conferences
Kramer, R; Rhodin, KE; Therien, AD; Raman, V; Eckhoff, A; Thompson, C; Tong, B; Blazer, D; Lidsky, M; D'Amico, T; Nussbaum, D
Published in: ANNALS OF SURGICAL ONCOLOGY
March 2024
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Duke Scholars

Dan German Blazer III
Author Dan German Blazer III Surgical Oncology
Thomas Anthony D'Amico
Author Thomas Anthony D'Amico Surgery, Cardiovascular and Thoracic Surgery
Betty Caroline Tong
Author Betty Caroline Tong Surgery, Cardiovascular and Thoracic Surgery
Michael Evan Lidsky
Author Michael Evan Lidsky Surgical Oncology
Daniel Philip Nussbaum
Author Daniel Philip Nussbaum Surgical Oncology
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Published In

ANNALS OF SURGICAL ONCOLOGY

EISSN

1534-4681

ISSN

1068-9265

Publication Date

March 2024

Volume

31

Issue

1

Start / End Page

S143 / S144

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
 

Citation

APA
Chicago
ICMJE
MLA
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Kramer, R., Rhodin, K. E., Therien, A. D., Raman, V., Eckhoff, A., Thompson, C., … Nussbaum, D. (2024). Unsupervised clustering using multiple correspondence analysis reveals clinically-relevant demographic variables across multiple gastrointestinal cancers. In ANNALS OF SURGICAL ONCOLOGY (Vol. 31, pp. S143–S144).
Kramer, Ryan, Kristen E. Rhodin, Aaron D. Therien, Vignesh Raman, Austin Eckhoff, Camryn Thompson, Betty Tong, et al. “Unsupervised clustering using multiple correspondence analysis reveals clinically-relevant demographic variables across multiple gastrointestinal cancers.” In ANNALS OF SURGICAL ONCOLOGY, 31:S143–44, 2024.
Kramer R, Rhodin KE, Therien AD, Raman V, Eckhoff A, Thompson C, et al. Unsupervised clustering using multiple correspondence analysis reveals clinically-relevant demographic variables across multiple gastrointestinal cancers. In: ANNALS OF SURGICAL ONCOLOGY. 2024. p. S143–4.
Kramer R, Rhodin KE, Therien AD, Raman V, Eckhoff A, Thompson C, Tong B, Blazer D, Lidsky M, D’Amico T, Nussbaum D. Unsupervised clustering using multiple correspondence analysis reveals clinically-relevant demographic variables across multiple gastrointestinal cancers. ANNALS OF SURGICAL ONCOLOGY. 2024. p. S143–S144.
Journal cover image

Published In

ANNALS OF SURGICAL ONCOLOGY

EISSN

1534-4681

ISSN

1068-9265

Publication Date

March 2024

Volume

31

Issue

1

Start / End Page

S143 / S144

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis