Thoroughly revised to cater the needs of Graduate and Post Graduate students spanning various colleges and Universities nationwide. This fourth revised edition has the following latest features. > The textbook is written in a clear lucid manner to cover the theortical, practical and applied aspect of biostatistics. > Well-labelled illustrations, diagrams, tables and adequate examples complement the text so that student may practice on their own. > Numerous examination oriented solved problems as well as number of topics viz set theory, Bionomial Expansion, Permutation, Combination and Non-Parametric Statistics have been incorporated. > Theortical Discussions as well as solution of problems have been represented in unambiguos language so as to clear to the needs of all students of Biosciences (Zoology, Botany, Physiology, Microbiology and Biotechnology etc.)

Offers students with little background in statistical analysis an introduction to a variety of statistical concepts and methods. In addition to the incorporation of computer calculation, this new edition expands on a number of important topics, including the revised Kolmogrov-Smirnov test.

Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation (algebra-based) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems. Most methods are illustrated with specific instructions as to implementation using software either from SAS, Stata, R, Excel or Minitab. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

The subject matter has been discussed in such a simple way that the student will find no difficulty to understand it. The proof of various theorems and examples have been given with minute details each chapter of this book contains, complete theory and large number of solved examples sufficient problems have also been selected from various Indian Universities and competitive examination. Contents: Introduction of Biostatistics, Population and Samples, Describing the Data (Tabular and Graphical Approaches), Measures of Central Location, Hypothesis Testing, The Chi-Square (X2) Test, Partial and Multiple Correlation, Sampling and Designs, Tests of Significance.

A straightforward introduction to a wide range of statistical methods for field biologists, using thoroughly explained R code.

Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized introduction to basic statistical concepts commonly applied in research across the health sciences. With plenty of real-world examples, the new edition provides a practical, modern approach to the statistical topics found in the biomedical and public health fields. Beginning with an overview of descriptive statistics in the health sciences, the book delivers topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis of survival data, and designs for clinical trials. This extensive update of Introductory Biostatistics, Second Edition includes: • A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs • A new chapter on testing and inference methods for repeatedly measured outcomes including continuous, binary, and count outcomes • R incorporated throughout along with SAS®, allowing readers to replicate results from presented examples with either software • Multiple additional exercises, with partial solutions available to aid comprehension of crucial concepts • Notes on Computations sections to provide further guidance on the use of software • A related website that hosts the large data sets presented throughout the book Introductory Biostatistics, Second Edition is an excellent textbook for upper-undergraduate and graduate students in introductory biostatistics courses. The book is also an ideal reference for applied statisticians working in the fields of public health, nursing, dentistry, and medicine.

"A thorough grounding in statistics is necessary for a career in any experimental science, but many students find themselves intimidated by the subject. Hampton and Havel have written this text with these students in mind. While providing the theory and assumptions necessary for a deep understanding of statistics, they make it approachable and keep it relevant to the interests of biology students. Their examples and exercises show how to choose the appropriate statistical method for a particular hypothesis and how to execute that method using problems encountered by real-world biologists. The second edition has been ambitiously updated and reorganized, facilitating clearer connections between topics and improving clarity of those that are logically distinct."--BOOK JACKET.