Statistical research methods a guide for non-statisticians
- Format:
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- Author/Creator:
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- Contributor:
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- Language:
- English
- Subjects (All):
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- Physical Description:
- 1 online resource
- Place of Publication:
- New York, NY Springer 2013
- Language Note:
- English
- System Details:
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- Summary:
- This textbook will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers. The text also allows for the concurrent use of the programming language R, which is an open-source program created, maintained and updated by the statistical community. R is freely available and easy to download
- Contents:
- Introduction.- One-Sample Proportions.- Two-Sample Proportions.- Multi-Category Data Summarizing Continuous Data.- One-Sample Means Two-Sample Means.- Analysis of Variance.- Power and Sample-Size.- Association and Regression
- Notes:
- Includes bibliographical references
- Other Format:
- Printed edition:
- ISBN:
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- 9781461487081
- 1461487080
- 9781461487098
- 1461487099
- 9781493945481
- 1493945483
- OCLC:
- 862577700
- Publisher Number:
- 10.1007/978-1-4614-8708-1
- Access Restriction:
- Restricted for use by site license
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