This paper provides a broad based view of solutions SAS provides across the research information spectrum. We are at an interesting crossroads: on the one hand, the power of traditional SAS approaches found in BASE and STAT; on the other hand, a new range of technologies grown out of the ...
SAS Life Science Analytics Framework is a single, open, cloud-native statistical computing environment for clinical research. Drive speed to market with more efficient clinical trials. Reduce errors in data aggregation and preparation. Maximize the flexibility to use different programming languages in one...
Customers trust SAS life sciences analytics solutions to advance patient centricity, improve operations and gain a competitive edge in the market. Clinical research analytics A faster, more productive repository and analytics platform. Explore solutions ...
临床试验公示网的定义:ClinicalTrials.gov Protocol Registration Data Element Definitions for Interventional and Observational Studies Note: "Enrolled" means a participant's, or their legally authorized representative’s, agreement to participate in a clinical study following completion of the informed consent...
The statistical methods discussed here represent a composite of methods most commonly used in the analysis of clinical research data. Numerous examples taken from clinical research show how to calculate statistic...
Customers trust SAS life sciences analytics solutions to advance patient centricity, improve operations and gain a competitive edge in the market. Clinical research analytics A faster, more productive repository and analytics platform. Explore solutions Real-world evidence Life-saving insights and value ...
Count data is increasingly common in clinical research (Gardner, Mulvey and Shaw (1995); Glynn and Buring (1996)). Examples include the number of adverse events occurring during a follow up period, the number of hospitalizations, the number of seizures in epileptics, etc. It is straightforward...
Analyzing multiple outcomes in clinical research using multivariate multilevel models. The authors discuss multivariate extensions to the multilevel model that can be used by psychotherapy researchers.Using simulated longitudinal treatment data, ... SA Baldwin,ZE Imel,SR Braithwaite,... - 《Journal of...
Mansi BA, Clark J, David FS, et al. Ten recommendations for closing the credibility gap in reporting industry-sponsored clinical research: a joint journal and pharmaceutical industry perspective. 2012.Mayo Clin Proc Neil L, Jesse AB, Bernadette M, et al. Recommendations to improve adverse event...
Manage and analyze information in a collaborative platform, streamline processes and more efficiently deliver trial results to regulatory authorities. Faster time to market & cost containment Provides cloud-native, single solution for clinical analysis and submission with everything you need for validation...