{"product_id":"survival-and-event-history-analysis-wiley-reference-series-in-biostatistics-9780470058060","title":"Survival and Event History Analysis Wiley","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA unique and invaluable reference resource for those working in survival analysis.   Survival analysis is concerned with studying the time between entry to a study and a subsequent event.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"This volume is recommended to libraries, a welcome addition…\" (\u003ci\u003eTechnometrics\u003c\/i\u003e, August 2007)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eList of Contributors.  \u003cp\u003e Series Preface.  \u003c\/p\u003e\u003cp\u003e Preface.  \u003c\/p\u003e\u003cp\u003e List of Abbreviations and Acronyms.  \u003c\/p\u003e\u003cp\u003e Aalen-Johansen Estimator.  \u003c\/p\u003e\u003cp\u003e Aalen's Additive Regression Model.  \u003c\/p\u003e\u003cp\u003e Accelerated Failure-time Models.  \u003c\/p\u003e\u003cp\u003e Actuarial Methods.  \u003c\/p\u003e\u003cp\u003e Additive Hazard Models.  \u003c\/p\u003e\u003cp\u003e Additive-Multiplicative Intensity Models.  \u003c\/p\u003e\u003cp\u003e Aging Models.  \u003c\/p\u003e\u003cp\u003e Age-of-onset Estimation.  \u003c\/p\u003e\u003cp\u003e Age-Period-Cohort Analysis.  \u003c\/p\u003e\u003cp\u003e Bayesian Approaches to Cure Rate Models.  \u003c\/p\u003e\u003cp\u003e Bayesian Model Selection in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Bayesian Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Bootstrapping in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Case-Cohort Study.  \u003c\/p\u003e\u003cp\u003e Case-Control Study, Nested.  \u003c\/p\u003e\u003cp\u003e Censored Data.  \u003c\/p\u003e\u003cp\u003e Coarsening at Random.  \u003c\/p\u003e\u003cp\u003e Competing Risks.  \u003c\/p\u003e\u003cp\u003e Compliance and Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Copula.  \u003c\/p\u003e\u003cp\u003e Counting Process Methods in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Cox Regression Model.  \u003c\/p\u003e\u003cp\u003e Cure Models.  \u003c\/p\u003e\u003cp\u003e Delayed Entry.  \u003c\/p\u003e\u003cp\u003e Discrete Survival-time models.  \u003c\/p\u003e\u003cp\u003e Duration Dependence.  \u003c\/p\u003e\u003cp\u003e Event History Analysis.  \u003c\/p\u003e\u003cp\u003e Excess Mortality.  \u003c\/p\u003e\u003cp\u003e Expected Number of Deaths.  \u003c\/p\u003e\u003cp\u003e Expected Survival Curve.  \u003c\/p\u003e\u003cp\u003e Explained Variation Measures in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Exponential Distribution.  \u003c\/p\u003e\u003cp\u003e Frailty.  \u003c\/p\u003e\u003cp\u003e Ghosts.  \u003c\/p\u003e\u003cp\u003e Goodness of Fit in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Grenander Estimators.  \u003c\/p\u003e\u003cp\u003e Grouped Survival Times.  \u003c\/p\u003e\u003cp\u003e Hazard Models Based on First-passage Time Distributions.  \u003c\/p\u003e\u003cp\u003e Hazard Plotting.  \u003c\/p\u003e\u003cp\u003e Hazard Ratio Estimator.  \u003c\/p\u003e\u003cp\u003e Historical Controls in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Incidence-Prevalence Relationships.  \u003c\/p\u003e\u003cp\u003e Influence Function in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Interim Analysis of Censored Data.  \u003c\/p\u003e\u003cp\u003e Interval Censoring.  \u003c\/p\u003e\u003cp\u003e Inverse Probability Weighting in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Joint Modeling of Longitudinal and Event Time Data.  \u003c\/p\u003e\u003cp\u003e Kaplan-Meier Estimator.  \u003c\/p\u003e\u003cp\u003e Kolmogorov-Smirnov and Cramer-Von Mises Tests in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Length Bias.  \u003c\/p\u003e\u003cp\u003e Lexis Diagram.  \u003c\/p\u003e\u003cp\u003e Life Table.  \u003c\/p\u003e\u003cp\u003e Linear Rank Tests in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Logrank Test.  \u003c\/p\u003e\u003cp\u003e Marginal Models for Multivariate Survival Data.  \u003c\/p\u003e\u003cp\u003e Marker Processes.  \u003c\/p\u003e\u003cp\u003e Measurement Error in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Median Survival Time.  \u003c\/p\u003e\u003cp\u003e Multivariate Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Nelson-Aalen Estimator.  \u003c\/p\u003e\u003cp\u003e Nonparametric Maximum Likelihood.  \u003c\/p\u003e\u003cp\u003e Parametric Models in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Pareto Distribution.  \u003c\/p\u003e\u003cp\u003e Partial Likelihood.  \u003c\/p\u003e\u003cp\u003e Phase-type Distributions in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Poisson Regression in Epidemiology.  \u003c\/p\u003e\u003cp\u003e Product-integration.  \u003c\/p\u003e\u003cp\u003e Prognostic Factors for Survival .  \u003c\/p\u003e\u003cp\u003e Proportional Hazards, Overview.  \u003c\/p\u003e\u003cp\u003e Proportional-odds Regression.  \u003c\/p\u003e\u003cp\u003e Quality of life and Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Rank Regression.  \u003c\/p\u003e\u003cp\u003e Real Time Approach in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Relative Risk Modeling.  \u003c\/p\u003e\u003cp\u003e Repeated Events.  \u003c\/p\u003e\u003cp\u003e Residuals for Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Risk Set.  \u003c\/p\u003e\u003cp\u003e Sample Size Determination in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Semiparametric Regression.  \u003c\/p\u003e\u003cp\u003e Smoothing Hazard Rates.  \u003c\/p\u003e\u003cp\u003e Staggered Entry.  \u003c\/p\u003e\u003cp\u003e Standardization Methods.  \u003c\/p\u003e\u003cp\u003e Structural Nested Failure Time Models.  \u003c\/p\u003e\u003cp\u003e Surrogate Endpoints.  \u003c\/p\u003e\u003cp\u003e Survival Analysis, Overview .  \u003c\/p\u003e\u003cp\u003e Survival Analysis, Software.  \u003c\/p\u003e\u003cp\u003e Survival Distributions and Their Characteristics.  \u003c\/p\u003e\u003cp\u003e Tied Survival Times .  \u003c\/p\u003e\u003cp\u003e Time Origin, Choice of.  \u003c\/p\u003e\u003cp\u003e Time to Pregnancy.  \u003c\/p\u003e\u003cp\u003e Time-dependent Covariate.  \u003c\/p\u003e\u003cp\u003e Total Time on Test.  \u003c\/p\u003e\u003cp\u003e Truncated Survival Times.  \u003c\/p\u003e\u003cp\u003e Turnbull Estimator.  \u003c\/p\u003e\u003cp\u003e Type-specific Covariates in Survival Analysis.  \u003c\/p\u003e\u003cp\u003e Weibull Distribution.  \u003c\/p\u003e\u003cp\u003e Author Index.  \u003c\/p\u003e\u003cp\u003e Subject Index.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402274775383,"sku":"9780470058060","price":208.76,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780470058060.jpg?v=1730479914","url":"https:\/\/bookcurl.com\/products\/survival-and-event-history-analysis-wiley-reference-series-in-biostatistics-9780470058060","provider":"Book Curl","version":"1.0","type":"link"}