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Welcome to IgMin Research – an Open Access journal uniting Biology Group, Medicine Group, and Engineering Group. We’re dedicated to advancing global knowledge and fostering collaboration across scientific fields.

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Biostatistics at IgMin Research | General-science Group

Our vision is to support multi-field collaboration and contribute to the rapid dissemination of knowledge.

について

Biostatistics is a critical discipline that applies statistical methods to biological and medical data, enabling researchers to extract meaningful insights and make informed decisions. This field plays a crucial role in experimental design, data analysis, and interpretation of findings in biological and medical research. Biostatisticians develop methodologies to handle complex data sets, model relationships, and draw valid conclusions from experiments.

Biostatistics encompasses a wide range of applications, from clinical trials and epidemiology studies to genomics and public health research. It involves designing experiments, conducting data analysis, and generating reliable conclusions that contribute to advancements in medicine, disease prevention, and evidence-based decision-making. Biostatistics provides the framework for translating data into meaningful knowledge that impacts human health and well-being.

  • Design of experiments
  • Statistical data analysis
  • Epidemiological studies
  • Clinical trials design and analysis
  • Biomedical informatics
  • Regression analysis
  • Survival analysis
  • Longitudinal data analysis
  • Bayesian statistics
  • Bioinformatics and genomics analysis
  • Machine learning in biostatistics
  • Meta-analysis
  • Public health statistics
  • Genetic epidemiology
  • Environmental biostatistics
  • Computational biostatistics
  • Biostatistical software development
  • Statistical genetics
  • Biostatistics in personalized medicine
  • Biostatistics education and outreach
  • Advancements in biostatistics
  • Biostatistics and data privacy
  • Biostatistics and public policy
  • Biostatistics and global health
  • Biostatistics in clinical decision-making

Biology Group (3)

Research Article Article ID: igmin266
Cite

Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.

Gaussian-Transform for the Dirac Wave Function and its Application to the Multicenter Molecular Integral Over Dirac Wave Functions for Solving the Molecular Matrix Dirac Equation
by Kazuhiro Ishida

Gaussian-transform formula is derived for the Dirac wave function. Using it, one can derive the multicenter molecular integral over Dirac wave functions for any physical quantity. As the first application of it, multicenter molecular integrals over Dirac wave functions are derived for the homogeneous charge density distribution model and the Gauss-type charge density distribution model. Such integrals are necessary for solving the gauge-invariant molecular matrix Dirac equation with using the restricted magnetic balance.

Biostatistics Biophysics
Research Article Article ID: igmin207
Cite

Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.

Modeling of Cr3+ doped Cassiterite (SnO2) Single Crystals
by Maroj Bharati, Vikram Singh and Ram Kripal

Using the superposition model, the crystal field and zero-field splitting parameters of Cr3+ doped cassiterite (tin oxide), SnO2 single crystals are computed. For calculations, the appropriate locations for Cr3+ ions in SnO2 with distortion are taken into account. The experimental values and the zero-field splitting parameters in theory with local distortion agree fairly well. Using the Crystal Field Analysis Program and crystal field parameters, the optical energy bands for Cr3+ in SnO2 are calculated. The findings indicate that in SnO2 single... crystals, one of the Sn4+ ions is replaced by Cr3+ ions.

Biostatistics Molecular Biology
Research Article Article ID: igmin133
Cite

Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.

Analytical Expressions of the Markov Chain of K-Ras4B Protein within the Catalytic Environment and a New Markov-State Model
by Orchidea Maria Lecian

The finite Markov chain to which there correspond the qualities of the conformational dynamics of the K-Ras4B proteins in the catalytic reaction is written. The corresponding Markov-Sates models are studied. The properties of the K-Ras4B processes Markov chain allow one to define a new two-state MSM for the analytical description of the final-state transition. The time evolution of the eigenvalue corresponding to the final-state transition in the Galerkin description is written. The tools for the analytical calculations of the relative error ...are therefore prepared. New analytical formulations of the time evolution of the eigenvalue corresponding to the final-state transition are newly written from the experimental data and form the properties of the lag time in shaping the discretization error. The features of the discretization error are newly studied. A comparison with the experimental data is proposed.

Biostatistics Molecular BiologyBiophysics
Biostatistics
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