This book presents ideas and procedures for regression analysis of survival data in cancer chemotherapy based on regression-based approaches for improvements in the quality of care through the effective location of optimal treatment levels. It is useful for cancer chemotherapists.
1. The Rationale for Application of Regression Methods in Combination Cancer Chemotherapy
2. The Logistic Regression Model
3. Proportional Hazards Analysis
4. Nonproportional Hazards
5. Experimental Design
6. Interpretation of Analytic Results
7. Response-surface Exploration without Modeling
Walter H. Carter Jr.; Galen L. Wampler; Donald M. Stablein
