Biostatistical Programming

Subject matter experts

Biostatistics is the branch of statistics as it deals with the statistical data process related to the analysis of biological organisms. The science of biostatistics helps in designing biological experiments and interpreting the collected data to answers questions like the working nature of the new formulation, the cause of cancer and associated diseases, and the survival rate of a patient cause severe illness, etc. In general, biostatistics is the application of statistical principles which helps developing questions and identifying problems in biological fields such as medicine and public health. Biostatistics usually includes both descriptive and analytical domains. The analytical methods are mainly used for design and analysis of public health research. Finding the accurate mathematical hypotheses, biological models and the statistical test is essential for study design which is a mandatory prerequisite for quality study outcome. Early clinical trials are typical challenges for biostatistics in translational science, and the biomarker validation is an essential gatekeeper of translational success impossible without proper statistical procedures.

Pubrica provides support in descriptive and comparative analytics, advanced statistical modeling, disease surveillance and much more, through developing the biostatistical programming. Pubrica offers you complete publishing support across a variety of publications, journals, and books. We provide comprehensive support from translating your concept to incisive report, and we will be with you through the entire publication stages. We assist medical doctors, students, hospitals, and pharma and device manufacturers in their quest for a credible writing partner.

We have experts across subjects such as life science, medical and technology. Due to our consistent, high-quality writing, we can publish in journals with high impact factor includes Vital and health statistics; Series 2: Data evaluation and methods research, Journal of the American Statistical Association, Journal of the Royal Statistical Society. Series B: Statistical Methodology, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Foundations and Trends in Machine Learning, Advances in Data Analysis and Classification, Journal of Statistical Software.

Enhancing Your Scientific Impact from Data Collection to Publication

Pubrica offers comprehensive research services and publishing support across
various aspects of agriculture. Our expertise spans:

Research Services
Expert guidance on project planning, execution, and data analysis.

Editing & Proofreading
Enhance clarity, grammar, and style for polished, professional manuscripts.

Data Collection for AI & ML
Structured data gathering tailored for artificial intelligence and machine learning.

Data Science & Analytics Advanced statistical analysis and interpretation to uncover actionable insights.

Translation Services Accurate scientific translations to broaden the reach of your research.

Artwork Editing
Professional visuals for your figures, tables, and graphical abstracts.

Peer-Reviewing Services
Comprehensive review to refine and validate your research pre-submission.

Editorial Comment Addressal
Expert responses to enhance your manuscript based on reviewer comments.

Journal Selection & Submission
Strategic journal selection and submission to maximize publication success.

Journal Formatting
Tailored manuscript formatting to meet specific journal guidelines.

Graphical Abstract
Engaging summaries of your research in a single, informative graphic.

Research Promotion
Targeted strategies to amplify the visibility and impact of your work.

Our Agricultural Research Contract Outsourcing Services

Pubrica offers a comprehensive suite of services designed to support the agricultural research community through advanced scientific research editing outsourcing solutions. Our expertise spans from initial research design to data analysis, utilizing the latest methodologies and technologies to enhance agricultural research outcomes.

Conducting Agricultural Sciences Bibliometric, Systematic Reviews and Meta-Analyses

Pubrica experts employ a rigorous six-step protocol based on the PRISMA statement to ensure high scientific quality and transparency while conducting systematic review and meta-analyses. This process includes scoping, planning, comprehensive literature search, screening, eligibility assessment, and detailed presentation of findings. The process has been chosen to guarantee the scientific quality and ensure a transparent, systematic review.

Designing your methods for your agricultural research.

We assist in crafting robust research methodologies tailored to the specific needs of your agricultural study, ensuring that each design maximizes the accuracy and relevance of your research outcomes. Whether you need to design an experimental study (randomized complete block design, factorial, spilt-plot design, repeated measures design), observational designs (cohort, case-control, cross sectional), longitudinal, survey, simulation model, participatory evaluation, case studies, conceptual methods (e.g. review, framework development), or for methodologies for AI and ML, Pubrica’s expertise can draft it.

Agriculture Data Collection for AI and ML

Pubrica facilitates precise data collection processes optimized for AI and ML applications in agriculture. Whether you need to crop production data, soil data, climate and weather, water usage, agronomic practices, economic, biotechnology, sustainability and environmental impact, animal husbandry, and technological and sensor data, Pubrica expertise assists in collecting real-world (structured and unstructured data) or secondary research services. This service is crucial for developing predictive models and intelligent systems that enhance agricultural decision-making and productivity.

Statistical Analyses, Data Mining, and Data Science Support for your Agricultural Manuscript

Our team provides extensive data science support, including sophisticated statistical analyses (General linear regression model, regression analyses, clustering, time-series) and data analytics using AI and ML (sentiment, association rules, log analysis, factor analysis, anomaly detection, neural network, predictive analytics such as adaptive neural network model, descriptive, diagnostic analytics, prescriptive analytics), tailored to agricultural research manuscripts. We focus on delivering actionable insights that drive informed decisions in agricultural practices and policies.

Where Our Authors Publish

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Journal Name: Agricultural Research, 22 April 2024

Impact factor: 1.4

Paper Title: The predictive ability of temperature on pollen germination and pollen tube growth in Eight Data Palm cultivators

Author: Mohammed et al.,

Areas of Study

Pubrica supports this broad spectrum of agricultural research by Whether it’s soil science, agronomy, sustainable agriculture, or animal science, Pubrica’s expertise ensures that your agricultural research is robust, well-documented, and ready for publication. Pubrica supports this broad spectrum of agricultural research by Whether it’s soil science, agronomy, sustainable agriculture, or animal science.