Written for clinicians and biostatisticians, describes nonparametric and quasiparametric (regression) methods of analyzing survivorship data in clinical studies, emphasizing the interpretation and reasoning behind the methods. Explains the established methods for summarizing the results of the major
Written for clinicians and biostatisticians, describes nonparametric and quasiparametric (regression) methods of analyzing survivorship data in clinical studies, emphasizing the interpretation and reasoning behind the methods. Explains the established methods for summarizing the results of the major
Eugene K. Harris, University of Virginia, Charlottesville, Virginia. Adelin Albert, University of Liege, Belgium.
Inhaltsangabe
Preface, 1 Estimation of Survival Probabilities 2 Standard Errors and Confidence Bands for Survival Rates and Curves 3 Nonparametric Methods for Comparison of Two or More Survival Curves 4 The Effects of Covariates on Survivorship: Proportional Hazards Models 5 Nonproportional Hazards 6 Survival Analysis with Time-Dependent Covariates 7 A Few Words on Computer Programs
Preface, 1 Estimation of Survival Probabilities 2 Standard Errors and Confidence Bands for Survival Rates and Curves 3 Nonparametric Methods for Comparison of Two or More Survival Curves 4 The Effects of Covariates on Survivorship: Proportional Hazards Models 5 Nonproportional Hazards 6 Survival Analysis with Time-Dependent Covariates 7 A Few Words on Computer Programs
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