Sökning: "Survival data"
Visar resultat 1 - 5 av 1202 avhandlingar innehållade orden Survival data.
1. On bootstrapping survival data
Sammanfattning : .... LÄS MER
2. Contributions to generalized Wilcoxon rank tests
Sammanfattning : In unbalanced small sample size problems with right censorings, the variance estmators of linear rank statistics, may be biased. This is the case with the commonly applied variance estimators for the generalized Wilcoxon rank test statistics of Gehan and Prentice. LÄS MER
3. Semiparametric survival models for routine register data
Sammanfattning : Routine registers offer researchers opportunities to carry out studies of covariate effects on lifetimes of rare diseases otherwise infeasible because of the large cohorts required. Familial relationships necessary for analysis of environmental or genetic factors can be identified by record linking. LÄS MER
4. Machine Learning Survival Models : Performance and Explainability
Sammanfattning : Survival analysis is an essential statistics and machine learning field in various critical applications like medical research and predictive maintenance. In these domains understanding models' predictions is paramount. LÄS MER
5. Applications of Machine Learning on Natural Language Processing and Biomedical Data
Sammanfattning : Machine learning is ubiquitous in today’s society, with promising applicationsin the field of natural language processing (NLP), so that computers can handlehuman language better, and within the medical community, with the promiseof better treatments. Machine learning can be seen as a subfield of artificialintelligence (AI), where AI is used to describe a machine that mimics cognitivefunctions that humans associate with other human minds, such as learning orproblem solving. LÄS MER