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Prognostic factors, models and related statistical problems in the survival of end‐stage renal disease patients on hemodialysis
Andrew J. Umen, Chap T. Le
Biostatistics
Research output
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Contribution to journal
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Article
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peer-review
25
Scopus citations
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Dive into the research topics of 'Prognostic factors, models and related statistical problems in the survival of end‐stage renal disease patients on hemodialysis'. Together they form a unique fingerprint.
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Keyphrases
Prognostic Factors
100%
Statistical Issues
100%
Factor Model
100%
Maintenance Hemodialysis Patients
100%
End-stage Renal Disease Patients
100%
Diabetic
66%
Dialysis Initiation
66%
Age at Initiation
66%
Chronic Obstructive Pulmonary Disease
33%
Heart Disease
33%
Hemodialysis
33%
Cerebrovascular Accident
33%
Non-diabetic
33%
Log-linear
33%
Survival Data
33%
Interaction Terms
33%
Arteriosclerotic
33%
Exponential Model
33%
Pharmacology, Toxicology and Pharmaceutical Science
End Stage Renal Disease
100%
Hemodialysis
100%
Diabetes Mellitus
66%
Chronic Obstructive Lung Disease
33%
Malignant Neoplasm
33%
Cerebrovascular Accident
33%
Coronary Artery Atherosclerosis
33%
Biochemistry, Genetics and Molecular Biology
Hemodialysis
100%
Age
33%