內容簡介
Using real data from published sources, this engaging and lucid casebook shows how statistical tools can be used to analyze important epidemiologic issues. Its 18 cases address a variety of interesting research problems from Mendel's classic sweet pea experiments to recent studies of AIDS and exposure to electro-magnetic field radiation. Each includes a data set. The cases are described succinctly and the methods used to analyze them are then discussed in detail. A wide range of statistical and graphical tools are included, from simple mean values to nonparametric bivariate regression smoothing techniques. The level of discussion is sophisticated but mathematically simple, affording access to a broad audience interested in using collected data to study human health and disease. The author's focus on describing, interpreting and presenting results will set this book apart from other texts.
作者簡介
Steve Selvin, Professor of Biostatistics and Epidemiology, University of California, Berkeley.
目次
1. Measurement of Trend (a 2 by c Table)
Topic: Trends in Multiple Birth Defects
Methods: Chi-Square and Regression Techniques (Linear and Logistic)
Data Type: Surveillance
2. Odds Ratio and Relative Risk
Part I: Odds Ratio
Topic: Smoking and the Risk of Low Birth Weight
Methods: 2 by 2 by k Tables, Odds Ratios, Summary Odds Ratios and Logistic Regression
Part II: Relative Risk
Topic: Behavior Type and the Risk of Coronary Disease
Methods: 2 by 2 by k: Tables, Relative Risk, Summary Relative Risk and Poisson Regression
3. Randomized Trial
Topic: Alzheimer's Disease Clinical Trial
Methods: t-Tests, Wilcoxon Tests, Bootstrap Estimation and Permutation Tests
Data Type: Randomized Trial
4. Bias
Part I: Regression to the Mean
Topic: Bias in Repeated Blood Pressure Measurements
Methods: t-Test, Simple Linear Regression and Correlation
Part II: Misclassification
Topic: Bias from Misclassified Treatment/Control Status
Methods: Odds Ratios, Bootstrap Estimation and Confidence Intervals
5. Goodness-of-Fit
Topic: Mendel's Ornamental Flower Data
Methods: Pearson's Chi-Square Goodness-of-Fit Tests
Data Type: Experimental
6. Analysis of a Two-Way Table
Topic: Marital Status and the Risk of Rectal Cancer
Methods: r by c Table, Median Polish and Poisson Regression Models
Data Type: Survey/Incidence (Surveillance Data)
7. Cluster Analysis
Topic: Classification by Race/Ethnicity Based on Gene Frequencies
Methods: Graphic Cluster Analysis, Principal Components Analysis with Contour Plots
Data Type: Aggregate or Ecologic
8. Matched Analysis (One Case and Two Controls)
Topic: Electro-Magnetic Field Radiation and the Risk of a Birth Defect
Methods: t-Tests, Analysis of Variance, Matched Analysis, and Conditional Logistic Models
Data Type: Matched Sets (Population-Based Vial Records)
9. Multivariable Linear Regression
Topic: Weight Gained During Pregnancy and Birth Weight
Methods: Multivariable Linear Regression Models
Data Type: Cross-Sectional (Hospital Database)
10. Linear Logistic Regression
Topic: Noise Exposure and the Risk of Hypertension
Methods: Linear and Polynomial Logistic Regression and General Additive Models
Data Type: Cross-Sectional (Industrial Hygiene Measurements)
11. Poisson Regression
Part I: Standardized Mortality Ratio
Topic: Gender and the Risk of Stomach Cancer
Methods: Age Adjustment (Model Free), SMR and Poisson Regression Models
Part II: Adjusted Rates
Topic: Race, Birth Weight and Perinatal Mortality
Methods: Polynomial Regression Models
12. Log-Linear Model (Poisson Model Applied to Tabular Data)
Topic: Vitamin Use and the Risk of Neural Tube Defects
Methods: Log-Linear Models (Poisson Regression Models)
Data Type: Case/Control (Medical Records)
13. Survival Analysis (Cox's Proportional Hazards Model)
Topic: Prognostic Factors in the Development of AIDS
Methods: Kaplan-Meier Plots, Parametric Survival Curves and Proportional Hazards Models
Data Type: Prospective (Follow-Up Survival Data)
14. Multivariate Comparison of Two Groups
Topic: Maternal Weight Change Over Two Pregnancies
Methods: Canonical Correlation Analysis, Multivariate t-Tests and Analysis of Variance
Data Type: Longitudinal (Hospital Database)
15. Smoothing Sequential Data
Topic: Trends in Hodgkins Disease Among African-Americans
Methods: Smoothing of Incidence and Mortality Data
Data Type: Time-Series (Registry Records)
16. Nonparametric Regression Analysis
Topic: Maternal Weight, Height and Birth Weight
Methods: Nonparametric Estimation and Regression Techniques
Data Type: Cross-sectional (Hospital Records)
References
Appendix
a.1 Introduction
a.2 Variances of Sums
a.3 Binomial Probability Distribution
a.4 Hypergeometric Probability Distribution
a.5 Chi-Square Distribution: A Pattern
a.6 Mantel-Haenszel Summary Odds Ratio
a.7 Mantel-Haenszel-Cochran Test for Independence
a.8 Taylor Series Expansion—Power Series
a.9 Two Variances
a.10 Rate Ratio
a.11 Odds Ratio
a.12 Weighted Average
a.13 Additive Model for a Two-Way Classification
a.14 Two by c table
a.15 Kaplan-Meier Estimated Survival Probabilities
a.16 Mean and Median Survival Time
a.17 Two Properties of the Multivariable Logistic Model
Index