18 November 2014, 03:15

Multivariate Survival Analysis and Competing Risks

Martin J. Crowder, "Multivariate Survival Analysis and Competing Risks"
2012 | ISBN: 1439875219 | 417 pages | PDF | 7 MB

Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods.

Author golemsonbi Views 14

Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality

Rajesh Jugulum, "Competing with High Quality data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality"
ISBN: 1118342321 | 2014 | PDF | 304 pages | 9 MB

Create a competitive advantage with data quality

Data is rapidly becoming the powerhouse of industry, but low-quality data can actually put a company at a disadvantage. To be used effectively, data must accurately reflect the real-world scenario it represents, and it must be in a form that is usable and accessible. Quality data involves asking the right questions, targeting the correct parameters, and having an effective internal management, organization, and access system. It must be relevant, complete, and correct, while falling in line with pervasive regulatory oversight programs.

Author golemsonbi Views 6