RCMI Coordinating Center (RCMI CC) Header Logo

Connection

Julius S. Ngwa to Proportional Hazards Models

This is a "connection" page, showing publications Julius S. Ngwa has written about Proportional Hazards Models.
Connection Strength

0.189
  1. Ngwa JS, Cabral HJ, Cheng DM, Pencina MJ, Gagnon DR, LaValley MP, Cupples LA. A comparison of time dependent Cox regression, pooled logistic regression and cross sectional pooling with simulations and an application to the Framingham Heart Study. BMC Med Res Methodol. 2016 11 03; 16(1):148.
    View in: PubMed
    Score: 0.129
  2. Odeyemi YE, Lewis O, Ngwa J, Dodd K, Gillum RF, Mehari A. Does Low FEV1 in Addition to Fixed Ratio and/or Lower Limit of Normal of FEV1/FVC Improve Prediction of Mortality in COPD? The NHANES-III-linked-mortality Cohort. J Natl Med Assoc. 2019 Feb; 111(1):94-100.
    View in: PubMed
    Score: 0.036
  3. Brautbar A, Pompeii LA, Dehghan A, Ngwa JS, Nambi V, Virani SS, Rivadeneira F, Uitterlinden AG, Hofman A, Witteman JC, Pencina MJ, Folsom AR, Cupples LA, Ballantyne CM, Boerwinkle E. A genetic risk score based on direct associations with coronary heart disease improves coronary heart disease risk prediction in the Atherosclerosis Risk in Communities (ARIC), but not in the Rotterdam and Framingham Offspring, Studies. Atherosclerosis. 2012 Aug; 223(2):421-6.
    View in: PubMed
    Score: 0.024
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