Score your highest in biostatistics Biostatistics is a required course for students of medicine, epidemiology, forestry, agriculture, bioinformatics, and public health. In years past this course has been mainly a graduate-level requirement; however its application is growing and course offerings at the undergraduate level are exploding. "Biostatistics For Dummies" is an excellent resource for those taking a course, as well as for those in need of a handy reference to this complex material.
Biostatisticians--analysts of biological data--are charged with finding answers to some of the world's most pressing health questions: how safe or effective are drugs hitting the market today? What causes autism? What are the risk factors for cardiovascular disease? Are those risk factors different for men and women or different ethnic groups? "Biostatistics For Dummies" examines these and other questions associated with the study of biostatistics. Provides plain-English explanations of techniques and clinical examples to help Serves as an excellent course supplement for those struggling with the complexities of the biostatistics Tracks to a typical, introductory biostatistics course
"Biostatistics For Dummies" is an excellent resource for anyone looking to succeed in this difficult course.
This was not a bad book, but it was not as helpful as many of the other "for Dummies" books. It kind of got lost in generalities without giving too much concrete help. But still useful.
The book I read to research this post was Biostatistics For Dummies by Pezzullo which is a very good book which I bought from kindle. Biostatistics is using and creating surveys and other forms of statistics in helping in lab work connected to biology. This book deals mostly with how it relates to humans which mean percentages of people who got ill in a certain way and how many had certain contributory factors like smoking or high blood pressure. It also might look at the effectiveness of a drug. This would normally by done as a double blind test with half having a placebo and the rest the drug and then the 2 are compared. If a drug is found to be safe given to a thousand people in a test that only means that any problems are probably rarer than 1 in 1,000. You can see why it's so difficult to get a drug registered and normally it has to be tested on a lot more than 1,000. Also in the test you might get a false positive or a false negative. Many a drug that does work has been dropped because initial tests were skewed and the drug appeared not to work. Equally if a drug only appears to work a drug company may spend millions developing it only to discover it was skewed data. There is various software available for analyzing results like SAS & SPSS which are very costly commercial products. There is also an open source product called R which is as powerful as a lot of the commercial products but is complicated to use and uses the R programming language on a command line to do anything. Also there are various statistical calculator apps available for tablets or smartphones. You should find them if you do a search for statistics. I enjoyed reading this book but it's a difficult subject which the book isn't entirely successful at simplifying. It's a good book all the same and is also quite a big book.