Chemistry Research Guide

Topics include scientific integrity and ethics in the field; clinical translational research in cancer, diabetes, and cardiovascular disease; emerging drugs to treat neurodegenerative diseases; swine, avian, and human flu; the use of big data in artificial knowledge in the field; bioinformatic insights on molecular chemistry; and much more.

Data Analysis for Chemistry covers topics including measurements, means and confidence intervals, hypothesis testing, analysis of variance, and calibration models.

The book provides a practical and readable guide to getting the most out of attending a scientific conference. The topics covered include writing an abstract, preparing and presenting a poster or talk, chairing a session, making good use of poster and oral sessions, networking, and publishing conference proceedings.