SPSS Advanced Models 9.0
SPSS Incorporated, 1999 - Business & Economics - 497 pages
Further detail of the first section provides SPSS Advanced models and how to obtain the appropriate statistical analyses with the dialog box interface. Further detail of the second section provides complete command syntax for all the commands included in SPSS Advanced Models. Statistical procedures in this module include: General linear model, loglinear, hiloglinear, GENLOG, survival analysis Kaplan-Meier, Variance component estimation and Cox regression.
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GLM Multivariate Analysis i
Variance Components Analysis 33
Model Selection Log linear Analysis
24 other sections not shown
adjusted residuals between-subjects factors categorical variables cell covariate censored Chapter chi-square coefficients command compared computed confidence intervals CONTRAST subcommand corresponding Cox Regression COXREG cumulative data file default degrees of freedom dependent variables design matrix DESIGN subcommand dialog box displayed Equation error term estrogen receptor Example MANOVA factor variable GENLOG hazard function Helmert HILOGLINEAR hypothesis included interaction intercept iterations Kaplan-Meier keyword Logit Loglinear Analysis logit model Loglinear Analysis procedure loglinear model main effects MANOVA maximum likelihood mean menus choose METHOD subcommand MINQUE multinomial multinomial distribution Multinomial Logit multiple multivariate observed omitted Options output parameter estimates parentheses POLYNOMIAL PRINT subcommand QBREATH QWHEEZE ratio request saturated model shown in Figure significance SPSS standard error statistics status variable structural zeros sums of squares Survival Analysis survival functions survival variable syntax terminal event time-dependent covariates transformation univariate values variable names Variance Components weights within-subjects factors WSDESIGN WSFACTOR