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62926959
Applied Longitudinal Analysis (Wiley Series in Probability and Statistics)
85% of respondents would recommend this to a friend
Nº de artículo:
62926959
UYU 5051
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What Stands Out
Comprehensive Coverage
This edition offers extensive insights into applied longitudinal data analysis, making complex concepts accessible to both novices and experts in statistical research.
Practical Applications
Real-world examples and applications illustrate key statistical methods, enhancing understanding and usability for researchers tackling longitudinal studies in diverse fields.
Updated Techniques
Incorporating the latest statistical techniques and advancements, this edition equips readers with modern tools essential for rigorous longitudinal data analysis.
Detalles de producto
| Publisher | Wiley |
| Publication date | August 30, 2011 |
| Edition | 2nd |
| Language | English |
| Print length | 752 pages |
| ISBN-10 | 0470380276 |
| ISBN-13 | 978-0470380277 |
| Item Weight | 2.54 pounds (1.15 kg) |
| Dimensions | 6 x 1.3 x 9.2 inches (15.2 x 3.3 x 23.4 cm) |
Who Should Buy?
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Graduate Students
Ideal for students pursuing advanced degrees in statistics or social sciences requiring deep longitudinal data analysis techniques.
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Data Analysts
Beneficial for professionals analyzing longitudinal data, providing practical methodologies and statistical tools applicable in real scenarios.
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Researchers
Perfect for researchers studying time-dependent data, equipped with insights into modeling approaches and empirical examples.
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Beginner Statisticians
Not suitable for beginners due to its advanced statistical concepts that require prior knowledge in statistics and data analysis.
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Applied Longitudinal Analysis (Wiley Series in Probability and Statistics)
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Biostatistics Editorial Review
Applied Longitudinal Analysis 2nd Edition is an excellent resource for anyone involved in designing and analyzing longitudinal studies. This book has been a go-to reference manual for many research biostatisticians and graduate students alike. It covers topics such as adjusting for baseline responses, mixed effects models, fixed vs. random effects models, generalized estimating equations, generalized linear mixed effects models, and handling missing data. The book is well written, and the concepts are presented in a clear and structured manner. It can be easily understood by a wide audience, and the helpful SAS codes make it even more accessible.
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ventajas
- Covers various topics related to longitudinal analysis
- Clear and structured presentation of concepts
- Helpful SAS codes
- Accessible to a wide audience
Contras
- Some readers found the book too wordy and repetitive
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