Biostatistics: A foundation for analysis in the health sciences

by Wayne W. Daniel

Offers broad coverage of statistical procedures employed in all the health disciplines, emphasizing learning by intuition rather than by mathematical proof. Focusing on inferential concepts and data analysis, the text presents realistic examples and exercises from many fields, including nursing, physical therapy, respiratory therapy, epidemiology, public health administration, medicine, and mental health. Discusses the expanding role of the computer in health research and administration and encourages the use of computers in problem-solving. There are 100 new exercises--20 with large data sets-- many new illustrations, and a new section on the use of dummy variables in regression analysis. Topics covered include probability distributions, sampling distributions, estimation, hypothesis testing, analysis of variance, simple linear regression and correlation, multiple regression and correlation, the chi-square distribution and the analysis of frequencies, nonparametric and distribution-free statistics, and vital statistics.

Genres: Textbooks

504 pages, Hardcover

First published January 1, 1974

Reviews

[Glenn M Clapp · Rating 5 out of 5]

Really good as far as textbooks go. Clear explanations of statistical tests and where they are appropriate.

Definitely has a spot on my work reference shelf.

[Nirmalandu Das · Rating 5 out of 5]

Helpful

[Ravi K. Avadhanula · Rating 5 out of 5]

Very student friendly. Step by step approach. End of chapter problems are a must if you wanna excel at this excellent subject.

[ፍቅር ኩማ]

review even number exercises questions

[Sara · Rating 2 out of 5]

Not cool that AFTER I purchased the book, I learned in reading through the table of contents that the appendices were not available in the Kindle edition. This was very unfortunate, since some of those appendices contained value tables for various test statistics. That made the reading and the practicing very disappointing as an overall experience.

[Johny John]

i WANNA

[Wret]

reeeeeeeeee