Population Health

Lab Manual for the RIPL_Effect Research Team (RIPLRT)

by Authors: The RIPL_Effect Research Team


This book constitute the lab manual for the RIPL_Effect Research Team (RIPLRT). The output format for this example is bookdown::gitbook. […] It looks like you recently joined the RIPL (Respiratory and Immunology Project) Effect Research Lab at Larkin University College of Biomedical Sciences. That’s great! We’re really glad to have you here, and will do what we can to make your time in the lab amazing. We hope you’ll learn a lot about respiratory health and immunology (also population health), develop new skills (coding, data analysis, writing, giving talks), make new friends, and have a … Read more →


Population Health Data Science with R

by Tomás J. Aragón


Population health data science (PHDS) is the art and science of transforming data into actionable knowledge to improve health. R is an open source programming environment for statistical computing and graphics. PHDS is captured by four words: describe, predict, discover, and advise. […] We are writing this book to introduce R—a programming language and environment for statistical computing and graphics—to public health epidemiologists, health care data analysts, data scientists, statisticans, and others conducting population health analyses. Recent graduates come prepared with a solid … Read more →


Leading Population Health

by Tomás J. Aragón


A book example for a Chapman & Hall book. […] In December, 2010, I was appointed the health officer of the City and County of San Francisco, and the director of the Population Health Division1 at the San Francisco Department of Public Health (SFDPH). As health officer I exercised leadership and legal authority to protect and promote health and health equity. For the Population Health Division I directed public health services. Prior to SFDPH I trained in primary care internal medicine, clinical infectious diseases, and epidemiology. Since 1996, I worked as a deputy health officer in various … Read more →