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Clinical trial data analysis using R and SAS, second edition
Ding Geng Din Chen
, Karl E. Peace, Pinggao Zhang
Research output
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Book/Report
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Book
10
Scopus citations
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Dive into the research topics of 'Clinical trial data analysis using R and SAS, second edition'. Together they form a unique fingerprint.
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Nursing and Health Professions
Breast Cancer
100%
Multivariate Analysis of Variance
100%
Biostatistics
100%
Statistical Analysis
100%
Bioequivalence
100%
Beta Adrenergic Receptor Blocking Agent
100%
Polyposis
100%
Duodenum Ulcer
100%
Keyphrases
Clinical Trial Data
100%
Analysis Code
16%
Clinical Trials
16%
Knowledge Gaps
16%
Popular
16%
Statistical Methods
16%
Statistical Software
16%
Statistical Analysis
16%
Desktop
16%
Breast Cancer
16%
Hypertension
16%
Treatment Comparison
16%
Multivariate Analysis of Variance
16%
Step Analysis
16%
Clinical Development
16%
Correlated Data
16%
Geostatistical Analysis
16%
Beta-blockers
16%
First Edition
16%
R Program
16%
Cancer Clinical Trials
16%
Polyposis
16%
Bioequivalence Trials
16%
Longitudinal Clinical Trial
16%
Duodenal Ulcer
16%
Time-to-event Endpoint
16%
Biostatistics Method
16%
Example-based Approach
16%
Mathematics
Statistical Analysis
100%
Statistical Method
100%
Biostatistics
100%
MANOVA
100%
Step Analysis
100%
Biochemistry, Genetics and Molecular Biology
Clinical Trial
100%
Multivariate Analysis
12%
Beta Blocker
12%
Bioequivalence
12%
Food Science
Multivariate Analysis of Variance
100%