Practical Guide to Logistic Regression - Hilbe, Joseph M.

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Résumé :
In Changepower! 37 Secrets to Habit Change Success, author Meg Selig guides readers through a step-by-step process that will help them achieve any habit change goal. Whether the reader wants to break a hurtful habit like smoking or overeating, or build a healthy habit like exercising or speaking up, Changepower! provides a springboard for change. Selig helps habit-changers move beyond willpower and succeed with changepower - the synergy that comes from combining willpower with other resources, useful outside supports, and wise strategies. In Changepower!, she shows habit-changers how to beef up both their willpower and their changepower to achieve habit change success. The key is revving up motivation. Selig reveals the most powerful motivators for change - pain motivators, the Eight Great Motivators, and even not-so-noble motivators. Research has shown that most changes take place in stages rather than overnight. Selig provides a step-by-step plan for each stage, leaving plenty of room for flexibility depending on each person's needs. First-person stories, pithy quotes, and how-to exercises provide inspiration, humor, and encouragement as readers embark on their habit change journeys....

Biographie:

Joseph M. Hilbe is a Solar System Ambassador with NASA's Jet Propulsion Laboratory at the California Institute of Technology, an adjunct professor of statistics at Arizona State University, and an emeritus professor at the University of Hawaii. He also teaches five web-based courses on statistical modeling at Statistics.com. He is president of the International Astrostatistics Association, elected fellow of the American Statistical Association, elected member of the International Statistical Institute, and full member of the American Astronomical Society.
Professor Hilbe is one of the world's leading statisticians in modeling discrete and longitudinal data. He has authored 16 books related to statistical modeling, including the best-selling Logistic Regression Models and Modeling Count Data.
During the late 1980s and 1990s, Professor Hilbe was a leading figure in the then new area of health outcomes research, serving as director of research at a national chain of hospitals and later CEO of a national health economics firm. He was also on the executive committee forming the Health Policy Statistics Section of the American Statistical Association.