The new edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics.
The new edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics.
Wiliam D. Dupont is Professor of Biostatistics and Preventive Medicine at the Vanderbilt University School of Medicine, Nashville, Tennessee.
Inhaltsangabe
Preface 1. Introduction 2. Simple linear regression 3. Multiple linear regression 4. Simple logistic regression 5. Multiple logistic regression 6. Introduction to survival analysis 7. Hazard regression analysis 8. Introduction to Poisson regression 9. Multiple Poisson regression 10. Fixed effects analysis of variance 11. Repeated-measures analysis of variance Appendix A. Summary of statistical models discussed in this text Appendix B. Summary of Stata commands used in this text References.
Preface 1. Introduction 2. Simple linear regression 3. Multiple linear regression 4. Simple logistic regression 5. Multiple logistic regression 6. Introduction to survival analysis 7. Hazard regression analysis 8. Introduction to Poisson regression 9. Multiple Poisson regression 10. Fixed effects analysis of variance 11. Repeated-measures analysis of variance Appendix A. Summary of statistical models discussed in this text Appendix B. Summary of Stata commands used in this text References.
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