(eBook PDF) Statistics for Advanced Practice Nurses and Health Professionals – Digital Ebook – Instant Delivery Download
Product details:
- ISBN-10 : 0826198244
- ISBN-13 : 978-0826198242
- Author: Manfred Stommel, Katherine J. Dontje
This comprehensive, graduate-level text for advanced practice nurses and other health care professionals provides state-of-the-art tools that facilitate the reading and interpretation of clinical research articles that use increasingly complex statistical techniques. It addresses clinically relevant topics in biostatistics beyond the usual introduction to linear models, such as survival analysis and evaluation of screening tests. The text emphasizes the importance of understanding the underlying logic of statistical inference and statistical models to support correct interpretation and effective translation into practice. It promotes appropriate statistical method selection for conducting translational research.
Table contents:
Part I: Foundations for Statistical Thinking
1. Introduction: The Role of Statistics in Research and Clinical Practice
2. Properties of Variables: Levels of Measurement
3. Descriptive Univariate Statistics
4. Probabilities
5. Logic of Statistical Inference: The Sampling Distribution and Significance Tests
6. Standard Errors, Confidence Intervals, and the Power of Statistical Tests
7. Research Designs and Statistical Analysis
Part II: Models for Continuous/Interval-Level Outcome Measures
8. t-Test
9. One-Way Analysis of Variance
10. Linear Regression and Pearson’s r Correlation
11. Factorial Analysis of Variance and Analysis of Covariance
12. Multiple Linear Regression
13. Repeated-Measures Analysis of Variance
14. Introduction to Mixed-Effects Regression Models
Part III: Models for Categorical Outcome Measures
15. Nonparametric/Ordinal Statistics
16. Frequency Cross-Tabulations: 2 × 2 Tables
17. Logistic Regression With One Independent Variable
18. Logistic Regression Models With Multiple Predictors
Part IV: Models for Time-to-Event Data/Survival Analysis
19. Incidence Rates, Life Tables, and Survival Function
20. Comparing Survival Functions in Different Groups and Hazard Regression
Part V: Measurement Models
21. Reliability Coefficients and Medical Test Evaluation
22. Factor Analysis
Part VI: Issues in Data Management
23. Data Management and Privacy Concerns
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