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Towards better decision making in growth hormone therapy
Joseph S. Pliskin
Department of Industrial Engineering and Management
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Scopus citations
Overview
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Keyphrases
Growth Hormone Treatment
100%
Meta-analysis
50%
Controlled Experiment
50%
Patient Preference
50%
Quality of Life
50%
Expert Opinion
50%
Cost-effectiveness Analysis
50%
Subjective Judgments
50%
Large Database
50%
Cost-benefit
50%
Decision Analysis
50%
Situation of Uncertainty
50%
Mathematical-statistical Model
50%
Medicine and Dentistry
Decision Making
100%
Hormone Therapy
100%
Growth Hormone
100%
Patient Preference
50%
Meta-Analysis
50%
Observational Study
50%
Quality of Life
50%
Cost-Effectiveness Analysis
50%
Controlled Clinical Trial
50%
Cost Benefit Analysis
50%
Nursing and Health Professions
Hormonal Therapy
100%
Growth Hormone
100%
Patient Preference
50%
Quality of Life
50%
Meta Analysis
50%
Cost Effectiveness Analysis
50%
Cost Benefit Analysis
50%
Pharmacology, Toxicology and Pharmaceutical Science
Growth Hormone
100%
Endocrine Therapy
100%
Observational Study
50%
Controlled Clinical Trial
50%