Call for Abstract
Scientific Program
4th International Conference and Exhibition on Biometrics & Biostatistics, will be organized around the theme “An Insight into Advanced Research Technologies in Biometrics & Biostatistics”
Biostatistics 2015 is comprised of 11 tracks and 70 sessions designed to offer comprehensive sessions that address current issues in Biostatistics 2015.
Submit your abstract to any of the mentioned tracks. All related abstracts are accepted.
Register now for the conference by choosing an appropriate package suitable to you.
It comprises of statistical methods that are used to manage uncertainties in the field of medicine and health. It includes biostatistics in clinical research and clinical trials, biostatistics research and methodology, clinical decision making, statistical methods in diagnostic medicine, statistical and computing methods.
- Track 1-1Statistical methods in diagnostic medicine
- Track 1-2Clinical and experimental medical research
- Track 1-3Clinical trials and decision making
- Track 1-4Pharmacoepidemiology
- Track 1-5Ethical issues in biostatistics
It comprises of methods which are used in Biostatistics and in the computing. It includes topics such as robust methods in biostatistics, longitudinal studies, analysis with incomplete data, meta-analysis, Monte-Carlo methods, quantitative problems in health-risk analysis, statistical methodologies in genetic studies, ecological statistics and biostatistical methods in epidemiology.
- Track 2-1Longitudinal studies
- Track 2-2Analysis with incomplete data
- Track 2-3Meta-Analysis
- Track 2-4Quantitative problems in health-risk analysis
- Track 2-5Statistical methodology in genetic studies
- Track 2-6Ecological statistics
- Track 2-7Monte-Carlo methods
- Track 2-8Statistical methods for drug development
- Track 2-9Statistical methods For infectious diseases
- Track 2-10Teaching biostatistics
- Track 2-11Statistical methods for simulations
- Track 2-12Design of experiments (DOE)
It is a subset of the field of statistics in which the evidence about the true state of the world is expressed in terms of degrees of belief or, more specifically, Bayesian probabilities. It comprises of varies approaches such as Bayesian inference, stochastic structural optimization and Bayesian statistics, semi-parametric Bayesian analysis, Bayesian multiple change point analysis, infrared spectroscopy with Bayesian statistics and Bayesian dynamic models.
- Track 3-1Stochastic structural optimization and bayesian statistics
- Track 3-2Semiparametric bayesian analysis
- Track 3-3Bayesian multiple change point analysis
- Track 3-4Infrared spectroscopy with bayesian statistics
- Track 3-5Bayesian dynamic models
In statistics, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. This track consist of various sub topics such as linear and non-linear analysis, analysis of variance and regression, statistical methods for categorical data analysis, multiple regression with categorical data and biostatistical analysis softwares.
- Track 4-1Linear and Non-linear analysis
- Track 4-2Analysis of variance and regression
- Track 4-3Statistical methods for categorical data analysis
- Track 4-4Multiple regression with categorical data
It is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to study and process biological data. This track comprises of various types of bioinformatics used in the field of Biostatistics such as translational bioinformatics and structural bioinformatics along with the applications of bioinformatics. It also includes computational intelligence techniques as well as applications of ranking models and methods to biometrics and biostatistics.
- Track 5-1Applications of Ranking Models and Methods to Biometrics and Biostatistics
- Track 5-2Computational intelligence techniques
- Track 5-3Applications of bioinformatics
- Track 5-4Translational bioinformatics
- Track 5-5Structural bioinformatics
Systems biology is the study of systems of biological components, which may be molecules, cells, organisms or entire species. Living systems are dynamic and complex and their behavior may be hard to predict from the properties of individual parts. Nowadays computer science plays a very important role in studying the system biology. This track includes various topics such as biostatistics in systems biology, machine learning and artificial intelligence, data analysis: missing and multiway.
- Track 6-1Biostatistics in systems biology
- Track 6-2Machine learning and artificial intelligence
- Track 6-3Data analysis: Missing and multiway
It includes the various modern methods used in the biostatistical data analysis. Various topics which are being included are data sets, hierarchical models, causal inference, nonparametric along with the statistical genetics, mantel–haenszel test and the biometric implications of these data analysis methods.
- Track 7-1Large data sets
- Track 7-2Hierarchical models
- Track 7-3Nonparametrics
- Track 7-4Statistical genetics
- Track 7-5Mantel–Haenszel test
- Track 7-6Biometric implications
- Track 7-7Causal inference
- Track 7-8Handling missing data
- Track 7-9Longitudinal data analysis
- Track 7-10Sample size estimation
- Track 7-11Epidemiological data analysis
- Track 7-12Survival analysis
- Track 7-13Categorical data analysis
It gives insights into how to overcome data security obstacles presented by traditional means and the emergence of new biometric trends, advancements, drivers, and opportunities that will shape the biometrics industry of the future. This track comprises of integrated biometric identification and surveillance systems, principal component analysis and multilayer perception, human system interaction, centralized biometric database, intelligent pupil analysis system, palm print identification, biometric data delivery, laser imaging and biometrics, emerging and future applications of biometrics.
- Track 8-1Integrated biometric identification and surveillance systems
- Track 8-2Principal component analysis and multilayer perception
- Track 8-3Human system interaction
- Track 8-4Centralized biometric database
- Track 8-5Intelligent pupil analysis system
- Track 8-6Palm print identification
- Track 8-7Biometric data delivery
- Track 8-8Laser imaging and biometrics
It includes various biometric devices and algorithms which are used to implement security in today’s world of technology. Biometrics security includes various topics such as Personal identity verification, Human activity recognition, Legal compatibility for biometric systems, Crime prevention, Biometric devices and algorithms, Behavioral intelligence, biometric solutions, biometric security authentication and multi touch displays in biometrics.
- Track 9-1Personal identity verification
- Track 9-2Human activity recognition
- Track 9-3Legal compatability for biometric systems
- Track 9-4Crime prevention
- Track 9-5Biometric devices and algorithms
- Track 9-6Behavioral intelligence
- Track 9-7Multi touch displays in biometrics
It includes various future uses of the biometrics which could be animal biometrics and its applications in pre-clinical research, biometrics of gestures, biometric performance grading scheme, automatic face analysis and software testing and cloud computing, manufacturers and business opportunities.
- Track 10-1Animal biometrics and its applications in pre-clinical research
- Track 10-2Biometrics of gestures
- Track 10-3Biometric performance grading scheme
- Track 10-4Automatic face analysis
- Track 10-5Software testing and cloud computing
It is also known as computer security or IT security, is security applied to computing devices such as computers and smartphones, as well as computer networks such as private and public networks, including the whole Internet. It includes counter measures to combat cyber terrorism along with the cyber security for critical infrastructures and high performance computing as well as security/privacy technologies.
- Track 11-1Counter measures to combat cyber terrorism
- Track 11-2Cybersecurity for critical infrastructures and high performance computing
- Track 11-3Security/privacy technologies