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Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.

Suitable for data analysts, this book demonstrates how to design and implement efficient workflows for both one-person projects and team projects. It describes planning, organizing, and documenting your work. It then introduces how to write and debug Stata do-files and how to use local and global macros.

This practical guide explores all the features of Statäs sem command. This revised edition includes output, syntax, and instructions for fitting models with the Stata 13 SEM Builder. It shows how this graphical interface allows users to draw publication-quality path diagrams and fit the models without writing any programming code. Each model is presented along with the necessary Stata code. The datasets used are available for download online.