Applied Regression Analysis and Other Multivariable Methods* An introductory text for undergraduates, graduates, and working professionals; emphasizes applications in public health, biology, and the social and behavioral sciences. |
Contents
CONCEPTS AND EXAMPLES OF RESEARCH | 1 |
CLASSIFICATION OF VARIABLES AND THE CHOICE OF ANALYSIS | 7 |
A REVIEW | 16 |
Copyright | |
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Common terms and phrases
ANOVA table appropriate assumptions B₁ blood pressure cell Chapter collinearity column confidence interval considered covariance data set degrees of freedom denote described determine discussed dummy variables error estimate example F distribution F statistic F test factor analysis females formula function given independent variables intercept involving jackknife residuals least-squares likelihood likelihood function linear main effect males matrix mean square measure method multiple regression multiple-partial n₁ null hypothesis observations obtained orthogonal orthogonal polynomial overall P-value parameters partial F test Poisson regression polynomial predicted predictors Problem procedure random variable regression analysis regression coefficients regression model relationship rotation scores significant slope Source df SS straight-line model straight-line regression sum of squares test statistic two-way ANOVA variance weight X₁ and X2 Y₁ β₁ βι βο μ₁ μι σ²