Skip to main navigation
Skip to search
Skip to main content
University of Copenhagen Research Portal Home
Help & FAQ
Dansk
English
Home
Profiles
Research output
Research units
Press/Media
Activities
Prizes
???studenttheses???
Datasets
Search by expertise, name or affiliation
Pseudo-observations in survival analysis
Per Kragh Andersen
, Maja Pohar Perme
Department of Public Health
Section of Biostatistics
115
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Pseudo-observations in survival analysis'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Bone
38%
Competing Risks
75%
Covariates
26%
Cumulative Incidence Function
44%
Dependent Censoring
44%
Event History Analysis
52%
Goodness of fit
31%
Graphical Methods
37%
Grey Model
49%
Hazard Models
39%
Multi-state Model
43%
Numerical Methods
22%
Pseudo-observations
100%
Regression Model
50%
Review
22%
Risk Function
39%
Survival Analysis
68%
Survival Function
34%
Survival Time
34%
Transplantation
43%
Medicine & Life Sciences
Bone Marrow Transplantation
31%
Datasets
24%
Incidence
15%
Life Change Events
38%
Occupations
30%
Proportional Hazards Models
27%
Survival Analysis
59%
Survival Rate
23%