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
Analyzing competing risks data using the {R}-timereg package
Thomas Scheike
, Mei-Jie Zhang
Department of Public Health
Section of Biostatistics
90
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Analyzing competing risks data using the {R}-timereg package'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Competing Risks
89%
Regression Model
59%
Incidence
46%
Grey Model
39%
Competing Risks Model
34%
Risk Function
31%
Confidence Bands
30%
Hazard
27%
Goodness of Fit Test
26%
Transition Probability
25%
Cell
17%
Curve
14%
Model
7%
Business & Economics
Competing Risks
100%
Relapse
64%
Regression Model
60%
Lymphoma
45%
Grey Model
34%
Goodness of Fit Test
32%
Proportionality
31%
Transition Probability
29%
Hazard
25%
Confidence
19%
Engineering & Materials Science
Hazards
12%