Amanote Research
Register
Sign In
Visual Methods for Analyzing Human Health Data
doi 10.4018/978-1-59904-889-5.ch170
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2008
Authors
C. Tominski
P. Schulze-Wollgast
H. Schumann
Publisher
IGI Global
Related search
Generalized Empirical Likelihood Methods for Analyzing Longitudinal Data
Biometrika
Statistics
Probability
Uncertainty
Applied Mathematics
Biological Sciences
Agricultural
Mathematics
Methods for Analyzing Longitudinal Binary Data With Missing Responses
New Methods for Analyzing Serological Data With Applications to Influenza Surveillance
Influenza and other Respiratory Viruses
Environmental
Public Health
Epidemiology
Pulmonary
Infectious Diseases
Respiratory Medicine
Occupational Health
Methods for Analyzing Next-Generation Sequencing Data XII.Galaxy - Sharing Histories and Workflows
Japanese Journal of Lactic Acid Bacteria
Analyzing Data Sets With Missing Data: An Empirical Evaluation of Imputation Methods and Likelihood-Based Methods
IEEE Transactions on Software Engineering
Software
Accurate Data Process for Analyzing Nanopore Data
Biophysical Journal
Biophysics
Methods for Analyzing Next-Generation Sequencing Data IV. FASTQ Quality Control and Program Installation
Japanese Journal of Lactic Acid Bacteria
Methods for Statistical and Visual Comparison of Imputation Methods for Missing Data in Software Cost Estimation
Advances in Computer and Electrical Engineering
Exploring Object Segmentation Methods in Visual Surveillance for Human Activity Recognition
