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Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence 1st Edition
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Product Details
| Publisher | Oxford University Press; 1st edition (March 27, 2003) |
| Language | English |
| Hardcover | 644 pages |
| ISBN-10 | 0195152964 |
| ISBN-13 | 978-0195152968 |
| Item Weight | 2.35 pounds (1.06 kg) |
| Dimensions | 9.54 x 6.46 x 1.41 inches (24.2 x 16.4 x 3.6 cm) |
Product Description
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence 1st Edition
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Mathematics Editorial Review
The Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence 1st Edition is highly recommended for those looking for an introduction to Survival Analysis or Multilevel Modeling. Readers have praised the book for being informative and engaging, making the often complex topic of statistics easier to understand. The authors strike a good balance between technical formulas and conceptual explanations, allowing readers to grasp the theories behind the analysis. One reviewer mentioned that they would have appreciated a clearer link between the hazard function and different survival distribution choices. However, overall, readers found the book to be a great reference for anyone conducting longitudinal data analysis. The authors provide real-world examples to illustrate various analysis techniques and even include examples of syntax for commonly used statistical packages. It's worth noting that some readers have mentioned that tables and graphs in the Kindle version of the book were too grainy to read, which could be a drawback for those relying on digital versions. Overall, the Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence 1st Edition is highly regarded for its informative and approachable approach to the subject matter.
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Pros
- Informative and engaging introduction to Survival Analysis and Multilevel Modeling
- Good balance between technical formulas and conceptual explanations
- Real-world examples and syntax for commonly used statistical packages
Cons
- Lack of explicit link between hazard function and survival distribution choices
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