Introductory Statistics For The Health Sciences
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Author | : Lise DeShea |
Publisher | : CRC Press |
Total Pages | : 578 |
Release | : 2015-03-25 |
Genre | : Mathematics |
ISBN | : 1466565349 |
Download Introductory Statistics for the Health Sciences Book in PDF, Epub and Kindle
Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics. Using a color format throughout, the book contains engaging figures that illustrate real data sets from published research. Examples come from many area
Author | : Christine Dancey |
Publisher | : SAGE |
Total Pages | : 588 |
Release | : 2012-03-19 |
Genre | : Social Science |
ISBN | : 1446291235 |
Download Statistics for the Health Sciences Book in PDF, Epub and Kindle
Statistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying statistical analyses and descriptions of how these analyses are applied in health science research without complex maths formulae. The textbook takes students from the basics of research design, hypothesis testing and descriptive statistical techniques through to more advanced inferential statistical tests that health science students are likely to encounter. The strengths and weaknesses of different techniques are critically appraised throughout, and the authors emphasise how they may be used both in research and to inform best practice care in health settings. Exercises and tips throughout the book allow students to practice using SPSS. The companion website provides further practical experience of conducting statistical analyses. Features include: • multiple choice questions for both student and lecturer use • full Powerpoint slides for lecturers • practical exercises using SPSS • additional practical exercises using SAS and R This is an essential textbook for students studying beginner and intermediate level statistics across the health sciences.
Author | : Jan W. Kuzma |
Publisher | : McGraw-Hill Europe |
Total Pages | : 0 |
Release | : 2005 |
Genre | : Medical statistics |
ISBN | : 9780071112482 |
Download Basic Statistics for the Health Sciences Book in PDF, Epub and Kindle
This is the only introductory statistics text written specifically for health science students. Assuming no prerequisites other than high school algebra, the authors provide numerous examples from health settings, a wealth of helpful learning aids, as well as hundreds of exercises to help students succeed in the course.
Author | : Louise Marston |
Publisher | : SAGE |
Total Pages | : 332 |
Release | : 2009-12-15 |
Genre | : Medical |
ISBN | : 1446243338 |
Download Introductory Statistics for Health and Nursing Using SPSS Book in PDF, Epub and Kindle
Introductory Statistics for Health & Nursing using SPSS is an impressive introductory statistics text ideal for all health science and nursing students. Health and nursing students can be anxious and lacking in confidence when it comes to handling statistics. This book has been developed with this readership in mind. This accessible text eschews long and off-putting statistical formulae in favour of non-daunting practical and SPSS-based examples. What′s more, its content will fit ideally with the common course content of stats courses in the field. Introductory Statistics for Health & Nursing using SPSS is also accompanied by a companion website containing data-sets and examples for use by lecturers with their students. The inclusion of real-world data and a host of health-related examples should make this an ideal core text for any introductory statistics course in the field.
Author | : Rachel A. Gordon |
Publisher | : Taylor & Francis |
Total Pages | : 800 |
Release | : 2023-11-15 |
Genre | : Social Science |
ISBN | : 1000894738 |
Download Applied Statistics for the Social and Health Sciences Book in PDF, Epub and Kindle
For graduate students in the social and health sciences, featuring essential concepts and equations most often needed in scholarly publications. Uses excerpts from the scholarly literature in these fields to introduce new concepts. Uses publicly-available data that are regularly used in social and health science publications to introduce Stata code and illustrate concepts and interpretation. Thoroughly integrates the teaching of statistical theory with teaching data processing and analysis. Offers guidance about planning projects and organizing code for reproducibility Shows how to recognize critiques of the constructions, terminology, and interpretations of statistics. New edition focuses on Stata, with code integrated into the chapters (rather than appendices, as in the first edition) includes Stata’s factor variables and margins commands and Long and Freese’s (2014) spost13 commands, to simplify programming and facilitate interpretation.
Author | : Ian Scott |
Publisher | : SAGE |
Total Pages | : 252 |
Release | : 2005-02-09 |
Genre | : Medical |
ISBN | : 9780761974765 |
Download Statistics for Health Care Professionals Book in PDF, Epub and Kindle
Focusing on quantative approaches to investigating problems, this title introduces the basics rules and principles of statistics, encouraging the reader to think critically about data analysis and research design, and how these factors can impact upon evidence-based practice.
Author | : Jan W. Kuzma |
Publisher | : |
Total Pages | : 392 |
Release | : 2001 |
Genre | : Mathematics |
ISBN | : |
Download Basic Statistics for the Health Sciences Book in PDF, Epub and Kindle
An introductory statistics text written specifically for health science students. It assumes no prerequisites other than high school algebra, the authors provide numerous examples from health settings, a wealth of helpful learning aids, as well as hundreds of exercises to help students succeed in the course. Contents 1. Statistics and How They Are Used 2. Populations and Samples 3. Organizing and Displaying Data 4. Summarizing Data 5. Probability 6. The Normal Distribution 7. Sampling Distribution of Means 8. Sample Significance Testing, Point Estimates, and Confidence Intervals 9. Two Sample Significance Testing, Point Estimates, and Confidence Intervals 10. Analysis of Variance, ANOVA 11. Inferences Regarding Proportions 12. The Chi-Square Test 13. Correlation and Linear Regression 14. Nonparametric Methods 15. Vital Statistics and Demographic Methods 16. Life Tables 17. The Health Survey and the Research Report Appendix A: Binomial Probability Table Appendix B: P ...
Author | : David Lucy |
Publisher | : John Wiley & Sons |
Total Pages | : 276 |
Release | : 2013-05-03 |
Genre | : Medical |
ISBN | : 1118700104 |
Download Introduction to Statistics for Forensic Scientists Book in PDF, Epub and Kindle
Introduction to Statistics for Forensic Scientists is an essential introduction to the subject, gently guiding the reader through the key statistical techniques used to evaluate various types of forensic evidence. Assuming only a modest mathematical background, the book uses real-life examples from the forensic science literature and forensic case-work to illustrate relevant statistical concepts and methods. Opening with a brief overview of the history and use of statistics within forensic science, the text then goes on to introduce statistical techniques commonly used to examine data obtained during laboratory experiments. There is a strong emphasis on the evaluation of scientific observation as evidence and modern Bayesian approaches to interpreting forensic data for the courts. The analysis of key forms of evidence are discussed throughout with a particular focus on DNA, fibres and glass. An invaluable introduction to the statistical interpretation of forensic evidence; this book will be invaluable for all undergraduates taking courses in forensic science. Introduction to the key statistical techniques used in the evaluation of forensic evidence Includes end of chapter exercises to enhance student understanding Numerous examples taken from forensic science to put the subject into context
Author | : Michael R. Chernick |
Publisher | : John Wiley & Sons |
Total Pages | : 426 |
Release | : 2003-06-24 |
Genre | : Mathematics |
ISBN | : 0471458651 |
Download Introductory Biostatistics for the Health Sciences Book in PDF, Epub and Kindle
"Introductory Biostatistics for the Health Sciences" ist eine fundierte Einführung in die Biostatistik und ihre Anwendungsgebiete. Der Band richtet sich vorwiegend an Mediziner und Statistiker. Theorie und Praxis stehen im ausgewogenen Verhältnis, d.h. praktische Anwendungen werden, wo nötig, durch den theoretischen Hintergrund ergänzt. Der Schwerpunkt liegt eindeutig auf der praktischen Anwendung. Der Band geht auch auf jüngste Fortschritte bei der Bootstrap-, Outlier- und Meta-Analyse ein, Themen, die in der Regel in Konkurrenzwerken, nicht behandelt werden. Mit einer Fülle von Übungsaufgaben. Auch Statistiksoftware wird ausführlich besprochen.
Author | : Peter Dalgaard |
Publisher | : Springer Science & Business Media |
Total Pages | : 370 |
Release | : 2008-06-27 |
Genre | : Mathematics |
ISBN | : 0387790543 |
Download Introductory Statistics with R Book in PDF, Epub and Kindle
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.