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Introduction To Biostatistical Applications In Health Research With Microsoft Office Excel
Introduction To Biostatistical Applications In Health Research With Microsoft Office Excel
Edición/Edição:
Autores: Robert P. Hirsch
Editorial:
ISBN: 9781119089650
Formato: Rústica/Paperback
Nº volumenes: 1 Páginas: 424
Año publicación/Ano de publicação: 2016
Disponibilidad/Disponibilidade: 15 días
Precio/Preço : 100,19 € 95,18 € (98,99€ iva incluído)
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Cómpralos juntos y ahorra
Introduction To Biostatistical Applications In Health Research With Microsoft Office Excel Lectura Crítica De La Evidencia Clínica
· Introduction To Biostatistical Applications In Health Research With Microsoft Office Excel (Robert P. Hirsch)
· Lectura Crítica De La Evidencia Clínica (Juan Bautista Cabello López)
128,36 € 121,94 €
Descripción/Descrição
A practical and methodological approach to the statistical logic of biostatistics in the field of health research.

Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel provides statistical concepts for interpreting results using Microsoft Office Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels.

The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel also includes:
Detailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods
Numerous examples with clear explanations that use mostly real-world health research data provide a better understanding of the practical applications
Implements Excel graphic representations throughout to help readers evaluate and analyze individual results
An appendix with basic information on how to use Excel
A companion website with additional Excel files, data sets, and homework problems as well as an Instructor’s Solutions Manual
Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel is an excellent textbook for upper-undergraduate and graduate-level students in biostatistics and public health courses. In addition, the book is also an appropriate reference for both health researchers and professionals.
Contents
1. Thinking About Chance
1.1. Properties of Chance
1.2. Venn Equations
1.3. Intersections
1.4. Unions
1.5. Conditional Probabilities

2. Describing Populations
2.1. Distributions of Data
2.2. Gaussian Distribution
2.3. Parameter of Location
2.4. Parameter of Dispersion
2.5. Standard Normal Distribution

3. Examining Samples
3.1. Point Estimates
3.2. Sampling Distribution
3.3. Central Limit Theorem
3.4. Interval Estimates
3.5. Hypothesis Testing

4. Univariable Analysis of a Continuous Dependent Variable
4.1. Student’s t Distribution
4.2. Paired t-Test

5. Univariable Analysis of an Ordinal Dependent Variable
5.1. Medians
5.2. Wilcoxon Signed-Rank Test

6. Univariable Analysis of a Nominal Dependent Variable
6.1. Prevalence and Risk
6.2. Incidence
6.3. Normal Approximations
6.4. Exact Methods

7. Bivariable Analysis of a Continuous Dependent Variable
7.1. Linear Regression
7.2. Pearson’s Correlation
7.3. Student’s t-Test
7.4. Homoscedasticity

8. Bivariable Analysis of an Ordinal Dependent Variable
8.1. Spearman’s Correlation
8.2. Mann-Whitney Test

9. Bivariable Analysis of a Nominal Dependent Variable
9.1. Test for Trend
9.2. 2 ? 2 Tables
9.3. Ratios and Differences
9.4. Normal Approximations
9.5. Exact Methods

10. Multivariable Analysis of a Continuous Dependent Variable
10.1. Multiple Regression Analysis
10.2. Multiple Correlation Analysis
10.3. Multicollinearity
10.4. One-Way ANOVA
10.5. Factorial ANOVA
10.6. Student-Newman-Keuls Test
10.7. Analysis of Covariance
10.8. General Linear Model

11. Multivariable Analysis of an Ordinal Dependent Variable
11.1. Kruskal-Wallis Test
11.2. Dunn’s Test

12. Multivariable Analysis of a Nominal Dependent Variable
12.1. Logistic Regression
12.2. Cox Regression
12.3. Stratified Analysis
12.4. Life Table Analysis

Appendix A: Flowchart
Appendix B: Statistical Tables
Appendix C: Standard Distributions
Appendix D: Excel Primer
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