Ding-Geng (Din) Chen

School of Nursing and Department of Biostatistics and Computational Biology, Rochester, NY 14642

Biography

Ding-Geng (Din) Chen, Department of Biostatistics and Computational Biology, Discrete event systems; Matrix inverse; Moore-Penrose generalized inverse matrix; Cross-sectional survey; Longitudinal transition probability Rochester, overcome the limitation of the PDES modeling method, we proposed the use of M-P inverse matrix method that can solve the established PDES model without exogenous equation NY 14642

Relevant Topics

Awards & Nominations

50+ Million Readerbase

Journal Highlights

Google Scholar citation report

Citations: 3254

Journal of Biometrics & Biostatistics received 3254 citations as per Google Scholar report

Journal of Biometrics & Biostatistics peer review process verified at publons

Indexed In

Index Copernicus
Google Scholar
Sherpa Romeo
Academic Journals Database
Open J Gate
Genamics JournalSeek
Academic Keys
JournalTOCs
ResearchBible
China National Knowledge Infrastructure (CNKI)
Ulrich's Periodicals Directory
Access to Global Online Research in Agriculture (AGORA)
Electronic Journals Library
RefSeek
Hamdard University
EBSCO A-Z
Directory of Abstract Indexing for Journals
OCLC- WorldCat
SWB online catalog
Virtual Library of Biology (vifabio)
Publons
Euro Pub

Journal of Biometrics & Biostatistics