Intuitive Biostatistics

Posted on 15 April 2019 by Harvey Motulsky

Designed to provide a nonmathematical introduction to biostatistics for medical and health science students, graduate students in the biological sciences, physicians, and researchers, this text explains statistical principles in non technical language and focuses on explaining the proper scientific interpretation of statistical tests rather than on the mathematical logic of the tests themselves Intuitive Biostatistics covers all the topics typically found in an introductory statistics text, but with the emphasis on confidence intervals rather than P values, making it easier for students to understand both Additionally, it introduces a broad range of topics left out of most other introductory texts but used frequently in biomedical publications, including survival curves multiple comparisons, sensitivity and specificity of lab tests, Bayesian thinking, lod scores, and logistic, proportional hazards and nonlinear regression By emphasizing interpretation rather than calculation, this text provides a clear and virtually painless introduction to statistical principles for those students who will need to use statistics constantly in their work In addition, its practical approach enables readers to understand the statistical results published in biological and medical journals. New Read [ Intuitive Biostatistics ] Author [ Harvey Motulsky ] For Kindle ePUB or eBook – kino-fada.fr I read this book after reading the glowing review done by Philipp and he s right in almost everything he says.At least during our undergrad time we had the same statistics lectures and they really were completely pointless to what you will later on need as a scientist Learning about the odds of playing roulette etc is fun at least to me , but it s nothing that you will need for actual data analysis later on This book instead gives lots of practical advice And most of that advice you should I read this bo...I think that when I took stats during my university courses, the focus was all wrong It was like this here are some numbers, put them into the formula for the t test, when the number that comes out is below 0.05 write I reject the Null Hypothesis with a p value of X I never really learned about the basic assumptions behind this test and all the other ones , nor did I learn about how to interpret and actually think about these results Did I make mistakes in my analysis What are possible I think that when I took stats during my university courses, the focus was all wrong It was like this here are some numbers, put them into the form...I wanna read this book Intuitive biostat Can you please share biddut2003 gmail.comThe authors point out early on that this is a statistics book for scientists, not mathematicians This is a rare beast scientists tend to write books about science, leaving the statistical manuals to be written by, well, non scientists.As an example, consider Type I vs Type II error This has something to do with alpha, right On page 110, several specific scenarios are given along with recommendations for values of alpha and how it will affect Type I and Type II errors That is s...This text avoids as much hardcore math as it can, taking arealistic approach for biomedical scientists There are software packages that will help you with much of the math, and there are professional biostatisticians who are valuable for a reason This book gives you the information you need to carry out most basic statistical analyses while offering additional resources for those who are interested I think this is a good reference text for graduate students, and probably a good textbook This text avoids as much hardcore math as it can, taking arealistic approach fo...Motulsky summarizes baic statistical methods highlighting their usefulness as well as common misunderstandings and misuses He does this with a minimum of mathematics making this text quite useful for those struggling with or not in need of the mathematical deta...This book is a must read for those who want to understand better what they are reading in healthcare research Every commonly used term in biostatistics has been covered adequately for understanding Loads of useful non mathematic...Um dos melhores livros de bioestat stica, escrito pelo fundador da GraphPad Inc, uma empresa que comercializa entre outros produtos o software GraphPad Este livro procura se concentrar nos fundamentos e aplica es d...My old KZSU friend Sam Wang suggested this as a fun read I look forward to seeing how compares to two favorite by Edward Tufte, Envisioning Information and The Visual Display of Quantitative Information, from my days teaching technical communication and writing to engineers at Stanford.Excellent self help book for laboratory scientists in understanding concepts of basic biostatistics Written by the creator of GraphPad Prism, a common quick statistics software used by lab scientists It doesn t contain much technical details though, one would need a proper stat textbook for that.

English
15 April 2019

Harvey Motulsky