This course discusses survival analysis concepts with an emphasis on health care problems. The course focuses on the Cox proportional hazards model, not the parametric models, and is not designed for predictive modelers.
perform exploratory data analysis using ODS Statistical Graphics
fit the proportional hazards model
assess the fit of the model
fit Cox proportional hazards models for repeated events and clustered observations.
Who Can Benefit
Biostatisticians, epidemiologists, social scientists, and physical scientists
Before attending this course, you should
be able to create SAS data sets and manipulate data. You can gain this experience from the SAS(R) Programming II: Manipulating Data with the DATA Step course.
have completed a statistics course such as the Statistics I: Introduction to ANOVA, Regression, and Logistic Regression or the Statistics II: ANOVA and Regression courses.
Introduction to Survival Analysis
survival analysis concepts
exploratory data analysis using survival curves
Proportional Hazards Model
introduction to the Cox proportional hazards model
models with nonproportional hazards
model building and subset selection
working with time-dependent covariates
fitting Cox proportional hazards models for repeated events
https://www.exitcertified.com/it-training/sas/advanced-analytics/stat-analysis/survival-analysis-using-proportional-hazards-model-39322-detail.htmlSURV41Survival Analysis Using the Proportional Hazards Modelhttps://assets.exitcertified.com/assets/CourseImages/8b44d56cfe/AdobeStock_112587179__FitMaxWzEwMDAsMTAwMF0.jpg1600.00USDInStock/Training/SAS/Advanced Analytics/Statistical AnalysisThis course discusses survival analysis concepts with an emphasis on health care problems. The course focuses on the Cox...1600.00SASClassroom2015-06-22T17:02:19+00:00USD