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Statistical Programming Services

Statistical Programming & Data Analyses Services

Data management and Statistics for Scientific Publication Support

Pubrica’s team of experienced statisticians and data analysts excels in managing and analyzing data from small to large volumes in any format, specifically tailored for medical, life science, and healthcare research. Our advanced statistical programming and data management capabilities ensure the creation of high-quality scientific research articles.

  • Our Pubrica data management experts are adept at organizing and structuring diverse datasets, ensuring they are clean, consistent, and ready for analysis. This meticulous preparation is crucial for addressing your specific research queries with precision.
  • Tailor the scope of your statistical projects to meet specific research needs and budget constraints. Our customized approach not only enhances the relevance of your research but also ensures deep and meaningful analysis through advanced statistical techniques.
  • Benefit from our extensive experience in statistical programming for scientific publications. Our team conducts detailed statistical analyses, leveraging both traditional methods and innovative machine learning algorithms. This approach allows us to effectively translate complex data into clear and insightful visualizations, such as tables and figures, that support informed decision-making in scientific and clinical settings.
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Statistical Programming Services
Life Science and Medical Statistical Services that we undertake.
Pubrica Statistical and ML services play a crucial role in ensuring the validity, reliability, and
comprehensiveness of research findings.
Data Management
We provide comprehensive data management services that include the creation and maintenance of databases, meticulous data cleaning, and ensuring the integrity of data. Effective management is essential for the accuracy and reliability of statistical analyses.
Experimental Design

Our team of experts specializes in designing statistically robust studies (e.g. Case control, RCT, prospective), crucial for achieving reliable and valid research outcomes. We focus on designing your research, determining optimal sample sizes and implementing effective randomization procedures to minimize bias and ensure the integrity of your results.

Key Aspects of Our Experimental Design Services:

  • Optimal Sample Size Determination: We utilize advanced statistical methods to calculate the most appropriate sample sizes, balancing precision and resource efficiency to enhance the statistical power of your studies.
  • Randomization Techniques:Our services include designing and applying rigorous randomization strategies to reduce bias, ensuring that the study conditions are evenly distributed and that the results are generalizable.
  • How can optimal sample size determination benefit our research projects?
    Determining the optimal sample size ensures that your study has sufficient power to detect meaningful effects without wasting resources, thereby increasing the efficiency and effectiveness of your research.
  • What randomization procedures do you implement to ensure the validity of our study results?
    We employ a variety of randomization techniques, such as stratified, block, and cluster randomization, tailored to your study’s specific needs to prevent selection bias and confounding, thus safeguarding the validity of your findings.


These services are designed to underpin your research with a solid statistical foundation, enabling you to draw credible and robust conclusions from your studies.

Statistical Modeling and Analysis
We specialize in developing and applying sophisticated statistical models to analyze complex data sets effectively. Our services include regression analysis, survival analysis, cluster analysis, and principal component analysis, tailored to the specific needs of your research.

For advanced statistical analysis services, especially in the context of medical, life science, and healthcare research, Pubrica offers a range of specialized solutions to meet the complex demands of these fields. Here are some of the advanced statistical analysis services we provide:

  • Multivariate Analysis: This involves analyzing multiple variables simultaneously to understand relationships and impacts in complex datasets. Techniques such as multiple regression, logistic regression, and factor analysis are used to decipher these relationships.
  • Time Series Analysis: For data that is sequenced over time, time series analysis is crucial. This can include methods like ARIMA (AutoRegressive Integrated Moving Average) modeling, forecasting, and trend analysis, which are essential for longitudinal studies or tracking disease prevalence over time.
  • Survival Analysis: Particularly relevant in medical research, survival analysis techniques such as the Cox proportional hazards model are used to examine the time until the occurrence of an event (such as death or disease recurrence), accounting for right-censored data.
  • Bayesian Statistics: Bayesian methods provide a powerful alternative to traditional statistics, offering robust inferences about model parameters and predictions. These methods are particularly useful in complex models where frequentist approaches may be limited.
  • Machine Learning and Predictive Analytics: Utilizing algorithms and statistical models to understand the patterns and predict future outcomes. This can include supervised learning methods like support vector machines and random forests, as well as unsupervised learning methods like clustering.
  • Genomic Data Analysis: With the rise of personalized medicine, statistical analysis of genomic data is crucial. Techniques such as GWAS (Genome-Wide Association Studies) and gene expression analysis help in understanding the genetic bases of diseases.
  • High-Dimensional Data Analysis: Techniques like regularization and dimensionality reduction are used to handle datasets with a large number of variables, which are common in modern biomedical research.

These advanced services are designed to handle the specific challenges of medical and life science research, providing robust analytical support to ensure that your research findings are both scientifically valid and clinically relevant.
Biostatistics
Pubrica offers specialized biostatistical services that apply statistical methods specifically designed for biological and medical contexts. This includes dealing with unique challenges such as censoring, correlated data, and the intricacies of diagnostic testing.
Pubrica offers several types of biostatistical services, depending on the research purpose and data characteristic. Some of the analyses are.

Descriptive Biostatistics
  • Calculating basic statistics like mean, median, mode, and standard deviation for patient data.
  • Creating graphical representations such as histograms and pie charts to summarize clinical trial data.
Inferential Biostatistics
  • Conducting hypothesis tests to compare treatment effects between two or more groups.
  • Performing ANOVA to analyze differences among group means in a study.
Clinical Trials
  • Designing randomized controlled trials to evaluate the efficacy of new treatments.
  • Analyzing interim data for safety and efficacy to make decisions about continuing the trial.
Epidemiological Statistics
  • Modeling disease outbreaks and determining factors associated with increased risk.
  • Calculating incidence and prevalence rates of diseases in different populations.
Survival Analysis
  • Employing Kaplan-Meier curves to estimate survival times of patients.
  • Utilizing Cox proportional hazards models to explore the impact of covariates on survival.
Longitudinal Data Analysis
  • Analyzing repeated measures data to assess changes in health outcomes over time.
  • Applying mixed-effects models to account for both fixed and random effects in data.
Bioinformatics
  • Conducting sequence alignment to find similarities between DNA sequences.
  • Analyzing gene expression data from microarray or RNA-Seq studies.
Genetic Statistics
  • Performing Genome-Wide Association Studies (GWAS) to identify genetic variants associated with diseases.
  • Analyzing linkage disequilibrium to understand the inheritance patterns of genes.
Pharmacometrics
  • Modeling drug concentration and response data to optimize dosing regimens.
  • Conducting population pharmacokinetic analyses to understand variability in drug kinetics among individuals.
Environmental Biostatistics
  • Analyzing the effects of environmental exposures on health outcomes.
  • Modeling the spatial distribution of pollutants and their impact on public health.
Bayesian Biostatistics
  • Using Bayesian methods for clinical trial data analysis to incorporate prior knowledge.
  • Estimating disease prevalence using Bayesian hierarchical models.
Machine Learning in Biostatistics
  • Applying predictive modeling techniques to diagnose diseases based on patient data.
  • Using clustering algorithms to identify subgroups within patient populations based on treatment responses.

These services ensure that your research adheres to the highest standards of statistical rigor, thereby enhancing the credibility and impact of your findings within the scientific community.
Meta - Analysis
We conduct meta-analyses to aggregate data from multiple studies, providing a comprehensive overview that increases the statistical power and resolution of findings related to specific research questions. This is critical for drawing more definitive conclusions and guiding decision-making in clinical practices.
Pubrica offers several types of meta-analysis, depending on the research purpose and data characteristic. Some of the analyses are Aggregate Data Meta-analyses, Individual Patient Dat (IPD) meta-analysis, Network meta-analysis, meta-regression, systematic review and meta-analysis, cumulative meta-analysis, multivariate meta-analysis, Bayesian meta-analyses, umbrella review and rapid review meta-analysis. These services ensure that your research adheres to the highest standards of statistical rigor, thereby enhancing the credibility and impact of your findings within the scientific community.
Pubrica utilize several software tools and packages widely for conducting meta-analysis, depending on the research purpose and data characteristic. Some of the tools are Cochrane Review Manager (RevMan), Comprehensive Meta-Analysis (CMA), R (with meta-package), Stata, Meta-Essentials, JASP, SAS and OpenMeta [Analyst]. Since these tools vary in complexity, cost, and the statistical approaches they support, Pubrica apply these based on researchers’ specific needs, budget, and familiarity with statistical software.
How Do Statistical Analysis and Machine Learning Modeling Services & Solutions Work at Pubrica?
At Pubrica, our Statistical Analysis and Machine Learning Modeling Services operate through a systematic approach designed to ensure precision, reliability, and applicability in healthcare, medical, and life science research. Ensuring your research adheres to the rigorous standards required for publication in leading medical journals. Here’s a detailed overview of how these services function:
1. Our Process Flow

 

Initial Consultation and Project Definition:

The process begins with an initial consultation where our experts discuss and define the scope and objectives of the project with the client. This includes identifying the key research questions, the type of data involved, and the specific outcomes desired.

Data Collection and Preparation:

Once the project scope is defined, the next step involves data collection and preparation. This includes gathering all relevant data, which could be clinical data, experimental data, or real-world data. Our team then performs data cleaning, normalization, and transformation to ensure that the data is accurate and suitable for analysis.

Statistical Analysis Plan and Model Building:

Our statisticians and data scientists develop a detailed statistical analysis plan tailored to the project's needs. This involves selecting appropriate statistical methods and machine learning algorithms that are best suited to answer the research questions. The team then builds and trains statistical or machine learning models using the prepared data.

Validation and Refinement:

The models are rigorously validated against independent data sets to check their accuracy and robustness. Based on the outcomes, the models might be refined and tuned to improve their performance and ensure they accurately predict outcomes or provide the insights needed.

2. Compliance with Statistical Guidelines

 

Our team of scientific and medical experts ensures your analysis complies with relevant statistical guidelines, applying rigorous methods to enhance the precision and relevance of your results.

What are the different compliance guidelines Pubrica follows in statistical analysis?

Pubrica ensures compliance with major statistical guidelines such as ICH E9 (Statistical Principles for Clinical Trials) and CONSORT for randomized trials. Adhering to these guidelines ensures the reliability and integrity of the analysis.

3. Structured Analysis Reporting

 

We meticulously follow the structure required by journals, including detailed descriptions of methodologies (data sourcing, selection criteria, predefined analyses, quality appraisal of data, validity assessment), comprehensive data analyses, and insightful discussions of the results.

How does Pubrica structure its reports for statistical analysis and machine learning projects?

Reports are structured to include comprehensive methodologies, such as the criteria for data inclusion, statistical tests used, model validation techniques, and a robust discussion of the results, ensuring clear communication and replicability of research.

4. Data Management Templates

 

Preparation of essential documentation for data management, including keyword search setups, database utilization for advanced analytics, and setting up robust inclusion and exclusion criteria for data analysis.

5. Enhancement Services

 

Assistance with data sourcing, advanced preprocessing, and analytical characterization of the data to enrich the depth and impact of your research findings.

How does Pubrica enhance the statistical analysis and modeling process for clients?

Enhancement services include sophisticated data preprocessing, application of advanced machine learning algorithms, and detailed data visualization techniques to deepen insights and enhance the interpretability of the results.

6. Publication Support Services and Implementation

 

In addition to analysis and reporting, Pubrica provides support for drafting manuscripts for publication in peer-reviewed journals, including statistical interpretation and discussion. We also assist in implementing the models into clinical or operational practice if required, ensuring the research is actionable and accessible.

In addition, comprehensive support including journal selection, submission process, cover letter preparation, response to editorial comments, resubmission, and follow-up with editorial teams, ensuring smooth progress towards publication.

7. Integrity and Validation Services

 

Detailed analysis of data integrity, including validation checks and error analysis, ensuring the high quality and reliability of the statistical models and findings.

8. Dedicated Project Coordination

 

A committed project coordinator to assist with all queries related to your statistical analysis or machine learning project, providing seamless and personalized support.

9. Ongoing Support and Maintenance

 

After project completion, Pubrica offers ongoing support and maintenance for the statistical models and machine learning algorithms developed, helping clients adapt to new data or changes in research focus.

This structured approach ensures that Pubrica’s Statistical Analysis and Machine Learning Modeling Services not only meet but exceed the rigorous standards required for high-quality scientific research, providing clients with reliable, insightful, and publication-ready results.

Our Services

Biostatistics

Biostatistics

Explore cutting-edge Bioinformatics services at Pubrica for advanced research insights.

Meta Analyses

Comprehensive Meta Analyses services at Pubrica for rigorous research synthesis.

Bioinformatics

Bioinformatics

Pubrica offers advanced Bioinformatics services for insightful research.

Speed up your Statistical Programming with Pubrica

Receive personalized support in navigating the complexities of AI and ML development, ensuring clarity and effectiveness in delivering cutting-edge technological solutions.
Guaranteed Quality
In the rare case our work fails to delight you, we’ll re-work on it till you’re 100% happy.
our commitment to excellence ensures reliable results and impactful outcomes in medical research.
On Time Always
We always help you meet your deadlines, often, by turning around work in just 8 hours
Pubrica’s punctuality ensures your projects stay on track, meeting deadlines with efficiency and reliability.
Advanced security
We work hard to protect your work and making all our experts and employees honour a strict NDA.
Ensuring utmost data security through advanced encryption and strict protocols, offering peace of mind to all clients.
What our client says About us

DR. MERLY, RESEARCHER .

USA
Working with pubrica for biostatistical programming was a game-changer for my research. Their team was highly skilled and knowledgeable in statistical analysis and data interpretation. They provided intuitive and comprehensive results, helping me draw meaningful conclusions from my data. Their professionalism and attention to detail were commendable, and the entire process was smooth

ATREYI

NEW YORK
I approached pubrica for the scientific predictive analytics. The team uses machine learning techniques to evaluate historical and real-time data to analyse and identify trends that may lead to improved diagnoses and treatment. The team provides healthcare analytics refers to the systematic use of health data and related business insights developed through applying analytical, e.G. Statistical, contextual, quantitative, and assist predictive treatment for public health. Thanks, team

Frequently Asked Questions

We are with you the whole nine yards. In this section, we answer the tough questions. For any information, contact us via +91-9884350006 meanwhile, here are some of those queries

We provide a wide variety of services such as Patient journey and Insights – Machine Learning, Customer Segmentation, Predictive analytics, Algorithm and development for training and optimization, Interpretation, Reporting & Visualization and Leadership content and editorial design.
Delivery depends on the order type. Our econometricians have developed different models to address clients’ needs, that includes from simple cost calculation to evaluate the costs of treatments and adverse events to advanced budget impact models to assess the economic implications of cost-utility of the new formulary.
We have Patient-reported outcome (PRO) studies,Quality of life and health utility studies,Retrospective cost-effectiveness and Resource utilization studies. For more about detailed research area plan selection,
To choose the Data analytics & Machine Learning Services, we need clear & precise Domain area. E.g., Medical, Bio-medical, clinical research,Area of interest, Target Country. E.g. the UK, Target State, if any or generalized UK population, Clear Research Proposal – Rough outline, Suggest 2-3 significant references, Feasibility of data collection, University guidelines and also we need following information such as your Qualification, specialization, University, Country, Your experience, possible areas of your interest, Your supervisor capability and university interest, new methodology that is based on related to your Research and area of interest.
Pubrica hires only experienced and certified professionals from European and UK base. All of our medical writers hold Master and PhD degree and have at least five years of writing experience. Each medical writer have their specialization; it helps us to allocate the most appropriate writer according to your discipline. You will get only subject expertise, that’s our assurance, i.e., every order of thesis provide only a relevant research background.
After confirming your order, work will be assigned to Project Associates (PA), who will check the order according to the requirement. The order will, later on, assign to specific subject experts after signing a non-disclosure agreement. She/he will start working on the project as per the agreed deliverables. The order will be delivered after thorough quality check and assurance by the Quality Assurance Department (QAD) and will be given for plagiarism check. After that, you will get the QAD and plagiarism report.
Our work is completely based on your order and requirement. We promise on following guarantees: (1) On-time delivery (2) Plagiarism free and Unique Content (with the acceptability of less than 5-10% plagiarism) (3) Exact match with your requirements (4) Engaging Subject or domain experts for your project. If there is any deviation in the mentioned guarantees, we take 100% responsibility to compensate. However, the quality of work delivered may also get hampered when there is no precise requirement. In that case, you need to take up a fresh order.
We promise on following guarantees: (1) On-time delivery (2) Plagiarism free and Unique Content (with the acceptability of less than 5-10% plagiarism) (3) Exact match with your order requirements (4) Engaging Subject or domain experts for your project. If there is any deviation in the above guarantees, we take 100% responsibility to compensate.
Yes, at Scientific Writing & Publishing Support, our motto is to work hands-on with clients. We guarantee 100% project satisfaction. So we go exceed their expectations. Full-fledged writing services across all domains; moreover, we also provide animation, regulatory writing, medical writing, research, and biostatistical programming services as well. Call us now to get a quote.

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