Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 163, No. 3 (2000), pp. 381-402 (22 pages) Missing data can rarely be avoided in large scale studies in which subjects ...
In order to be good stewards of University data, it is important that we understand the laws and policies that govern how our data is handled. Health Insurance Portability and Accountability Act of ...
Researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital have conducted ...
Haplotype frequency estimation in population data is an important problem in genetics and different methods including expectation maximisation (EM) methods have been proposed. The statistical ...
The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...
Solve Real-World Problems With Applied Statistics. Applied Statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in several fields, ...
In longitudinal clinical trials, missing data is a threat to scientific integrity. Whether due to patient dropouts, missed visits, or protocol deviations, these gaps can distort results, reduce ...
As financial information remains a prime asset, mishandling this data can lead to far-reaching consequences, including significant financial losses, reputational damage, and legal complications. For ...
Opinions expressed by Entrepreneur contributors are their own. In the age of the Internet, data security is one of the biggest issues to deal with in business. Many of the largest corporations in the ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results