| | ||
| | | |
| |||
| |
|
| |
![]() | ![]() |
|
| | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
![]() Accounting & Finance Architecture Arts & Photography Business & Investing Business Management Computer Science Computers & Internet Education Engineering History Humanities Law Medicine Professional Science Reference Agricultural Sciences Social Sciences Archaeology Astronomy Behavioral Sciences Biological Sciences Chemistry Earth Sciences Education Essays & Commentary Evolution Experiments, Instruments & Measurement History & Philosophy Mathematics Medicine Nature & Ecology Physics Reference Technology Summaries and Customer Reviews are supplied by Amazon.com
Customer Reviews: Best overall text on medical statistics This author stands out in both how understandable he makes statistical concepts and on statistical accuracy (something surprisingly missing in many medical statistics textbooks). There is a particularly good section on pitfalls and benefits of computer software. When more complicated tests are advised (beyond what an intro text can explain), he gives sources for further information. Highly recommended. (The only complaint is that the "new" edition was supposed to come in 2008 or 2010 or 2011...) Practical Statistics for Medical Research (Statistics Texts)Altman Best book ever if you want to understand medical statistics. If you need a fast and easy way to find out whitch method to use for any statistical problem in medical research, this is the book you can't live without. great intermediate text with special warnings about statistical methods in medical journal articles This is a very well written and popular text on biostatistics. Altman writes for non-statisticians but the book is best suited for those with at least one prior course in statistics and those who have had mathematics through high school algebra. Emphasis is placed on the important practical problems. Good statistical designs and analyses are emphasized. The pitfalls with many published medical articles are discussed in Chapter 16. A base to understand clinical statistics Ths is a good support for clinicians who are preparing a clinical trial, a randomized study or more simply a descriptive study on a patient population. Hard-core statistics I sent this book back at once. This is for the mathematically inclined, full of formulas and such. There is very little 'practical' information, except you consider mathemathical formulas practical information. As a person who does not have time to immerse oneself in the subject that way, I would appreciate a different approach eg. 'if your data looks like this, then use test X and not test Y because it gives you better blablabla....". You get the idea. | | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| ![]() | |
| |