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American Journal of Biometrics & Biostatistics (AJBB) is an Open Access peer reviewed, online publishing journal which aims to publish scholarly and quality papers in the significant areas of current research in Biometrics and Biostatistics research.

Aims and Scope

American Journal of Biometrics & Biostatistics is aimed to publish papers on application of mathematics, statistics and also to the biological sciences especially in the field of agriculture and medicine. Whereas Biometrics refers to metrics associated to human characteristics. Biometrics authentication is applied in computer science as a form of identification and access control.

Article Types

AJBB publishes Original Research Articles, Clinical Trials, Reviews, Case Report, Editorials, Letter to the Editor, Short Communication, Opinion, Book Review and other special featured articles related to the field of Biometrics and Biostatistics.

Please share your manuscript through online platform: online submission or as an E-mail attachment to the Editorial Office at submit@scireslit.com or scireslit@gmail.com

Scope Keywords

American Journal of Biometrics and Biostatistics covers all topics related to

  • Adaptive Biometric Systems
  • Behaviometrics
  • Bibliometrics
  • Big Data Analytics
  • Binary and Non-Normal Continuous Data
  • Binomial Regression
  • Bioinformatics
  • Biometric Authentication
  • Biometrics
  • Biostatistical Methods
  • Clinical Trail
  • Computational Biology
  • Cross-Covariance and Cross-Correlation
  • Design and Analysis of Randomized Trials
  • Evolutionary Algorithms
  • Fuzzy Logic
  • General/Internal Medicine
  • Genetic Linkage
  • Hybrid Systems
  • Hypothesis Testing
  • Large-Scale Survey Data
  • Mathematical Analysis
  • Mathematical and Theoretical Biology
  • Microarray Studies
  • Multimodal Biometric System Biometric Functionality
  • Multivariate-Normal Model
  • Neural Networks
  • Non Rigid Image Registration
  • Operator Signatures
  • Regressions
  • Robust Method
  • Soft Biometrics
  • Soft-Computing
  • Spatial Gaussian Markov Random Fields
  • Statistical Methods