RCMI Coordinating Center (RCMI CC) Header Logo

Connection

Xiaogang Su to Logistic Models

Back to Details
This is a "connection" page, showing publications Xiaogang Su has written about Logistic Models.
Xiaogang Su
Connection Strength
0.188
Logistic Models
  1. Su X, Cho Y, Ni L, Liu L, Dusseldorp E. Refined moderation analysis with categorical outcomes in?precision medicine. Stat Med. 2023 02 20; 42(4):470-486.
    View in: PubMed
    Score: 0.157
  2. Gao Q, Su X, Annabi MH, Schreiter BR, Prince T, Ackerman A, Morgas S, Mata V, Williams H, Lee WY. Application of Urinary Volatile Organic Compounds (VOCs) for the Diagnosis of Prostate Cancer. Clin Genitourin Cancer. 2019 06; 17(3):183-190.
    View in: PubMed
    Score: 0.030
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

For technical support please contact support