Introducing survival analysis and event history analysis. (2011)

• Record Type: Book
• Further Information: Note: Melinda Mills.
• Other Names: Mills, Melinda
• Contents: The Fundamentals of Survival and Event History Analysis; Introduction: What Is Survival and Event History Analysis?; Key Concepts and Terminology; Censoring and Truncation; Mathematical Expression and Relation of Basic Statistical Functions; How Do the Survivor, Density and Hazard Function Relate?; Why Use Survival and Event History Analysis?; Overview of Survival and Event History Models; Exercises; Using R and Other Computer Programs for Survival and Event History Analysis; Introduction: Computer Programs for Survival and Event History Analysis; Conducting Serious Data Analysis: Life Lessons; Why Use R?; Downloading R on Your Personal Computer; Add-On Packages; Running R; Determining and Setting your Working Directory; Help and Documentation; Importing Data Into R; Working With Data: Opening and Accessing Variables from a Data Frame; Saving Output as File, Workspace and History and Quitting R; Exercises; Your First Session: Using the Survival Package and Exploring Data Via Descriptive Statistics and Graphs; Your First Session Using the 'Survival' Package In F; Loading and Examining the Survival Package and Rcmdrplugin.Survival Plug-In; Opening and Examining Data; The Surv Object: Packaging the 'Survival Variable'; Basic Descriptive Statistics; Descriptive Data Exploration with Graphs; Exercises; Data and Data Reconstruction; Introduction: Why Discuss Data and Data Preparation?; Sources of Event History Data; Single-Episode Data for Single Transition Analyses; Multi-Episode Data for Recurrent Event and Frailty Analyses; Subject-(Person)-Period Data for Discrete-Time Hazard Models; The Counting Process and Episode Splitting; A Note on Dates; Exercises; Non-Parametric Methods: Estimating and Comparing Survival Curves Using the Kaplan-Meier Estimator; Introduction; The Kaplan-Meier Estimator; Producing Kaplan-Meier Estimates; Plotting the Kaplan-Meier Survival Curve; Testing Differences Between Two Groups Using Survdiff; Stratifying the Analysis by a Covariate; Exercises; The Cox Proportional-Hazards Regression; Introduction: Why is The Cox Model So Popular?; The Cox Regression Model; Estimating and Interpreting The Cox Model with Fixed Covariates; The Cox Regression Model with Time-Varying Covariates; Exercises; Parametric Models; Introduction: What are Parametric Models and Why Use Them?; Proportional Hazards (Ph) Versus Accelerated Failure Time (Aft) Models; The Path to Choosing a Model; Estimating and Interpreting Parametric Survival Models; Exponential and Piecewise Constant Exponential Model; Weibull Model; Log-Logistic and Log-Normal Models; Additional Parametric Models; Finding the Best Fitting Parametric Model; Exercises; Model Building and Diagnostics; Introduction; Model Building and Selection of Covariates; Assessing the Overall Goodness of Fit of Your Model; What is Residual Analysis?; Testing Overall Model Adequacy: Cox-Snell Residuals; Testing the Proportional Hazards Assumption: Schoenfeld Residuals; Checking For Influential Observations: Score Residuals (Dfbeta Statistics); Assessing Nonlinearity: Martingale Residual and Component-Plus-Residual Plots; Exercises; Correlated and Discrete-Time Survival Data: Frailty, Recurrent Events and Discrete-Time Models; Introduction; Shared Frailty: Modeling Recurrent Events and Clustering In Groups; Other Frailty Models: Unshared, Nested, Joint and Additive Models; Estimating Frailty Models in R; Example of Frailty Model Estimation and Interpretation; Discrete-Time and Count Models; Exercises; Multiple Events and Entire Histories: Competing Risk, Multistate Models and Sequence Analysis; Introduction; Competing Risk Models; Multistate Models; Sequence Analysis: Modeling Entire Histories; Exercises; Appendix : Datasets Used in this Book;
• Publisher Details: London Thousand Oaks, Calif : Sage
• Publication Date: 2011
• Extent: 1 online resource (xx, 279 pages)
• Subjects: 001.422; Event history analysis; Survival analysis (Biometry); Event history analysis; Survival analysis (Biometry); Electronic books
• Languages: English
• ISBNs: 1446209822; 9781446209820
• Related ISBNs: 1848601018; 1848601026; 9781446209820; 9781848601017; 9781848601024
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.