Regression Analysis in Medical Research for Starters and 2nd Levelers /

This edition is a pretty complete textbook and tutorial for medical and health care students, as well as a recollection/update bench, and help desk for professionals. Novel approaches already applied in published clinical research will be addressed: matrix analyses, alpha spending, gate keeping, kri...

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Bibliographic Details
Main Author: Cleophas, Ton J. (Author)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing, 2018.
Edition:1st ed. 2018.
Subjects:
Biostatistics.
Medicine.
ISBN:9783319719375
Online Access: Get full text
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Table of Contents:
  • 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 for Data Analyses
  • Regression Trees
  • Regressions with Latent Variables
  • Partial Correlations
  • Functional Data Analysis I
  • Functional Data Analysis II
  • Index.

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