Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 2701 to 2703 of 2703 entries
Sorted by: Best Match Show Resources per page
Electronically Available Patient Claims Data Improve Models for Comparing Antibiotic Use Across Hospitals: Results From 576 US Facilities.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

Goodman KE, Pineles L, Magder LS, Anderson DJ, Ashley ED, Polk RE, Quan H, Trick WE, Woeltje KF, Leekha S, Cosgrove SE, Harris AD.
PMID: 32756970
Clin Infect Dis. 2021 Dec 06;73(11):e4484-e4492. doi: 10.1093/cid/ciaa1127.

BACKGROUND: The Centers for Disease Control and Prevention (CDC) uses standardized antimicrobial administration ratios (SAARs)-that is, observed-to-predicted ratios-to compare antibiotic use across facilities. CDC models adjust for facility characteristics when predicting antibiotic use but do not include patient diagnoses...

Cite
Goodman KE, Pineles L, Magder LS, et al. Electronically Available Patient Claims Data Improve Models for Comparing Antibiotic Use Across Hospitals: Results From 576 US Facilities. Clin Infect Dis. 2021;73(11):e4484-e4492doi: 10.1093/cid/ciaa1127.
Goodman, K. E., Pineles, L., Magder, L. S., Anderson, D. J., Ashley, E. D., Polk, R. E., Quan, H., Trick, W. E., Woeltje, K. F., Leekha, S., Cosgrove, S. E., & Harris, A. D. (2021). Electronically Available Patient Claims Data Improve Models for Comparing Antibiotic Use Across Hospitals: Results From 576 US Facilities. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 73(11), e4484-e4492. https://doi.org/10.1093/cid/ciaa1127
Goodman, Katherine E, et al. "Electronically Available Patient Claims Data Improve Models for Comparing Antibiotic Use Across Hospitals: Results From 576 US Facilities." Clinical infectious diseases : an official publication of the Infectious Diseases Society of America vol. 73,11 (2021): e4484-e4492. doi: https://doi.org/10.1093/cid/ciaa1127
Goodman KE, Pineles L, Magder LS, Anderson DJ, Ashley ED, Polk RE, Quan H, Trick WE, Woeltje KF, Leekha S, Cosgrove SE, Harris AD. Electronically Available Patient Claims Data Improve Models for Comparing Antibiotic Use Across Hospitals: Results From 576 US Facilities. Clin Infect Dis. 2021 Dec 06;73(11):e4484-e4492. doi: 10.1093/cid/ciaa1127. PMID: 32756970; PMCID: PMC8662758.
Copy Download .nbib Format: NLM
Modifying Chromatography Conditions for Improved Unknown Feature Identification in Untargeted Metabolomics.

Analytical chemistry

Anderson BG, Raskind A, Habra H, Kennedy RT, Evans CR.
PMID: 34794310
Anal Chem. 2021 Dec 07;93(48):15840-15849. doi: 10.1021/acs.analchem.1c02149. Epub 2021 Nov 18.

Untargeted metabolomics is an essential component of systems biology research, but it is plagued by a high proportion of detectable features not identified with a chemical structure. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) experiments produce spectra that can be searched...

Cite
Anderson BG, Raskind A, Habra H, et al. Modifying Chromatography Conditions for Improved Unknown Feature Identification in Untargeted Metabolomics. Anal Chem. 2021;93(48):15840-15849doi: 10.1021/acs.analchem.1c02149.
Anderson, B. G., Raskind, A., Habra, H., Kennedy, R. T., & Evans, C. R. (2021). Modifying Chromatography Conditions for Improved Unknown Feature Identification in Untargeted Metabolomics. Analytical chemistry, 93(48), 15840-15849. https://doi.org/10.1021/acs.analchem.1c02149
Anderson, Brady G, et al. "Modifying Chromatography Conditions for Improved Unknown Feature Identification in Untargeted Metabolomics." Analytical chemistry vol. 93,48 (2021): 15840-15849. doi: https://doi.org/10.1021/acs.analchem.1c02149
Anderson BG, Raskind A, Habra H, Kennedy RT, Evans CR. Modifying Chromatography Conditions for Improved Unknown Feature Identification in Untargeted Metabolomics. Anal Chem. 2021 Dec 07;93(48):15840-15849. doi: 10.1021/acs.analchem.1c02149. Epub 2021 Nov 18. PMID: 34794310.
Copy Download .nbib Format: NLM
Strategies for Diversifying the Pool of Graduate Students in Biomedical Sciences.

Coronado GD, Shuster M, Ulrich A, Anderson J, Loest H.
UIID-AD: 106
2012;27:436-442. doi: 10.1007/s13187-012-0374-8.

As part of our National Cancer Institute-sponsored partnership between New Mexico State University and the Fred Hutchinson Cancer Research Center, we implemented the cancer research internship for undergraduate students to expand the pipeline of underrepresented students who can conduct...

Cite
Coronado GD, Shuster M, Ulrich A, et al. Strategies for Diversifying the Pool of Graduate Students in Biomedical Sciences. 2012;27:436-442doi: 10.1007/s13187-012-0374-8.
Coronado, G. D., Shuster, M., Ulrich, A., Anderson, J., & Loest, H. (2012). Strategies for Diversifying the Pool of Graduate Students in Biomedical Sciences. 27436-442. https://doi.org/10.1007/s13187-012-0374-8
Coronado, G D, et al. "Strategies for Diversifying the Pool of Graduate Students in Biomedical Sciences." vol. 27 (2012): 436-442. doi: https://doi.org/10.1007/s13187-012-0374-8
Coronado GD, Shuster M, Ulrich A, Anderson J, Loest H. Strategies for Diversifying the Pool of Graduate Students in Biomedical Sciences. 2012;27:436-442. doi: 10.1007/s13187-012-0374-8. UIID-AD: 106.
Copy Download .nbib Format: NLM
Showing 2701 to 2703 of 2703 entries