Regression Analysis in Medical Research

Regression Analysis in Medical Research

for Starters and 2nd Levelers

Cleophas, Ton J.; Zwinderman, Aeilko H.

Springer International Publishing AG

06/2019

426

Mole

Inglês

9783319891231

15 a 20 dias

900

Descrição não disponível.

Preface.- Continuous Outcome Regressions.- Dichotomous Outcome Regressions.- Confirmative Regressions.- Dichotomous Regressions Other than Logistic and Cox.- Polytomous Outcome Regressions.- Time to Event Regressions other than Traditional Cox.- Analysis of Variance (ANOVA).- Repeated Outcome Regressions.- Methodologies for Better Fit of Categorical Predictors.- Laplace Regressions, Multi- instead of Mono-Exponential Models.- Regressions For Making Extrapolations.- Standardized Regression Coefficients.- Multivariate Analysis of Variance and Canonical Regression.- More on Poisson Regressions.- Regression Trend Testing.- Optimal Scaling and Automatic Linear Regression.- Spline Regressions.- More on Nonlinear Regressions.- Special Forms of Continuous Outcome Regressions.- Regressions for Quantitative Diagnostic Testing.- Regressions, a Panacee or at Least a Widespread Help forData Analyses.- Regression Trees.- Regressions with Latent Variables.- Partial Correlations.- Functional Data Analysis I.- Functional Data Analysis II.- Index

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regression analysis;non-mathematicians;dependent data;non-parametric statistics;nonlinear regression