Multivariate Analysis for Clinicians

Cost-effectiveness analysis for clinicians

In a climate of economic uncertainty, cost effectiveness analysis is a potentially important tool for making choices about health care interventions. Methods for such analyses are well established, but the results need to be interpreted carefully and are subject to bias. Making decisions based on results of cost-effectiveness analyses can involve setting thresholds, but for individual patients,...

The methods of survival analysis for clinicians.

The methods of survival analysis are required to analyze duration data but their use is restricted possibly due to lack of awareness and the intricacies involved. We explain common methods of survival analysis, namely, life table, Kaplan Meier, log rank and Cox model, in a simple and friendly language so that the medical fraternity can use them with confidence where applicable.

An overview of meta-analysis for clinicians

The number of medical studies being published is increasing exponentially, and clinicians must routinely process large amounts of new information. Moreover, the results of individual studies are often insufficient to provide confident answers, as their results are not consistently reproducible. A meta-analysis is a statistical method for combining the results of different studies on the same to...

New Functions for Multivariate Analysis

submission and registration will start inDecember 2007.We hope to meet you in Dortmund! The organizing committee:Uwe Ligges, Achim Zeileis, Claus Weihs, Gerd Kopp,Friedrich Leisch, and Torsten [email protected] R NewsISSN 1609-3631 Vol. 7/2, October 200776 Forthcoming Events: R Courses in Munich

Adapting Multivariate Analysis for Monitoring