Biostatistics and Computer Applications
Author :
Publisher :
Page : 251 pages
File Size : 29,26 MB
Release : 2022
Category :
ISBN : 9789393674364
Biostatistics and Computer Applications
Author : Nageswara Gadiraju Rao
Publisher : Pharmamed Press
Page : 386 pages
File Size : 47,64 MB
Release : 2019-10-29
Category : Medical
ISBN : 9789352300723
Book Description
The combination of Biostatistics and Computer Applications are very much useful for bio-sciences and bioinformatic fields. The book provides both concepts in synoptic view. The first part of the book includes chapters on basic concepts and sampling methods, probability and distributions, correlation and regression, Chi-Square test, analysis of variance, experimental designs and statistical quality control. The second part of the book provides a detailed, yet easy to understand description of the computer fundamentals. Each and every aspect is presented very clearly and logically. This part of book includes chapters on computer and its application history of computer, type of computers, number system, system concept fundamental of operating system, computer languages, networking concept, database management, and C programming. Salient Features All the chapters are written in a lucid manner A chapter on application of computers in pharmaceutical and clinical studies is added.
Principles and Applications of Biostatistics
Author : Ray M. Merrill
Publisher : Jones & Bartlett Learning
Page : 385 pages
File Size : 26,5 MB
Release : 2021-09-03
Category : Medical
ISBN : 1284251160
Book Description
Principles and Applications of Biostatistics covers the primary concepts and methods that are required for a fundamental understanding of the use and interpretation of statistics for the biological and health sciences–from data presentation to multiple regression and analysis of variance. With a focus clarity, brevity, and accuracy, this text provides understandable and focused explanation of statistical principles and applications along with practical examples (provided in R and Microsoft Excel) and problems drawn from biological health and medical settings. Key Features: • Practical questions follow each problem to encourage students to consider why the problem likely exists, help formulate hypotheses, and then statistically assess those hypotheses. • Abundant assignment problems at the end of sections and each chapter cover a variety of application areas of biostatistics. • Rationale boxes offer explanations of why certain methods are used for specific cases.
Introduction To Biostatistics & Computer Science
Author : Mr. Y. I. Shah Dr. A. R. Paradkar
Publisher : Pragati Books Pvt. Ltd.
Page : 296 pages
File Size : 45,63 MB
Release : 2008-09-07
Category :
ISBN : 9788185790336
Book Description
Biostatistics and Computer-based Analysis of Health Data using Stata
Author : Christophe Lalanne
Publisher : Elsevier
Page : 136 pages
File Size : 43,44 MB
Release : 2016-09-06
Category : Computers
ISBN : 0081010842
Book Description
This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epideomological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential Stata packages and commands. - Provides detailed examples of the use of Stata for common biostatistical tasks in medical research - Features a work program structured around the four previous chapters and a series of practical exercises with commented corrections - Includes an appendix to help the reader familiarize themselves with additional packages and commands - Focuses on the practice of biostatistical methods that are essential to clinical research, epidemiology, and analysis of biomedical data
Scan Statistics
Author : Joseph Glaz
Publisher : Springer Science & Business Media
Page : 380 pages
File Size : 12,33 MB
Release : 2013-03-09
Category : Mathematics
ISBN : 1475734603
Book Description
In many statistical applications, scientists have to analyze the occurrence of observed clusters of events in time or space. Scientists are especially interested in determining whether an observed cluster of events has occurred by chance if it is assumed that the events are distributed independently and uniformly over time or space. Scan statistics have relevant applications in many areas of science and technology including geology, geography, medicine, minefield detection, molecular biology, photography, quality control and reliability theory and radio-optics.
An Introduction to Biostatistics
Author : N Gurumani
Publisher : MJP Publisher
Page : 250 pages
File Size : 12,13 MB
Release : 101-01-17
Category : Science
ISBN : 8180942562
Book Description
Anthology containing: Introduction Population and Sample variables Collection of data classification and tabulation of data DIAGRAMS AND GRAPHS Frequency Distribution Descriptive Statistics scriv Measures of Central Tendency Averages Measures of Dispersion Skewness and Kurtosis Inferential statistics Probability Theoretical Probability Distributions Chi-Square Test Binomial Distribution Poisson Distribution Normal Distribution Inference About Population Sampling Methods Hypothesis Testing Student’s t-Test Analysis of Variance Correlation Regression Demography Computer Applications in Biology Number Systems Computer Codes Organisation of a Computer Computer Program Language Computer Memory and Storage Devices Operating System and Application Programs MS Excel—Statistical Functions Appendix References
Biostatistics with R
Author : Babak Shahbaba
Publisher : Springer Science & Business Media
Page : 355 pages
File Size : 45,67 MB
Release : 2011-12-15
Category : Medical
ISBN : 1461413028
Book Description
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an introduction to Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.
Advanced Statistics with Applications in R
Author : Eugene Demidenko
Publisher : John Wiley & Sons
Page : 880 pages
File Size : 11,5 MB
Release : 2019-11-12
Category : Mathematics
ISBN : 1118387988
Book Description
Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are caused by misunderstanding of statistical concepts due to poor theoretical background of practitioners and applied statisticians. This book is the product of a forty-year experience in teaching of probability and statistics and their applications for solving real-life problems. There are more than 442 examples in the book: basically every probability or statistics concept is illustrated with an example accompanied with an R code. Many examples, such as Who said π? What team is better? The fall of the Roman empire, James Bond chase problem, Black Friday shopping, Free fall equation: Aristotle or Galilei, and many others are intriguing. These examples cover biostatistics, finance, physics and engineering, text and image analysis, epidemiology, spatial statistics, sociology, etc. Advanced Statistics with Applications in R teaches students to use theory for solving real-life problems through computations: there are about 500 R codes and 100 datasets. These data can be freely downloaded from the author's website dartmouth.edu/~eugened. This book is suitable as a text for senior undergraduate students with major in statistics or data science or graduate students. Many researchers who apply statistics on the regular basis find explanation of many fundamental concepts from the theoretical perspective illustrated by concrete real-world applications.
Modern Issues and Methods in Biostatistics
Author : Mark Chang
Publisher : Springer Science & Business Media
Page : 316 pages
File Size : 29,77 MB
Release : 2011-07-15
Category : Medical
ISBN : 144199842X
Book Description
Classic biostatistics, a branch of statistical science, has as its main focus the applications of statistics in public health, the life sciences, and the pharmaceutical industry. Modern biostatistics, beyond just a simple application of statistics, is a confluence of statistics and knowledge of multiple intertwined fields. The application demands, the advancements in computer technology, and the rapid growth of life science data (e.g., genomics data) have promoted the formation of modern biostatistics. There are at least three characteristics of modern biostatistics: (1) in-depth engagement in the application fields that require penetration of knowledge across several fields, (2) high-level complexity of data because they are longitudinal, incomplete, or latent because they are heterogeneous due to a mixture of data or experiment types, because of high-dimensionality, which may make meaningful reduction impossible, or because of extremely small or large size; and (3) dynamics, the speed of development in methodology and analyses, has to match the fast growth of data with a constantly changing face. This book is written for researchers, biostatisticians/statisticians, and scientists who are interested in quantitative analyses. The goal is to introduce modern methods in biostatistics and help researchers and students quickly grasp key concepts and methods. Many methods can solve the same problem and many problems can be solved by the same method, which becomes apparent when those topics are discussed in this single volume.
