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Data Management & Statistical Analysis

Meta-Clinical is committed to providing you with the best data operation services in CRO. We have a proven track record of delivering high-quality results within budget and timeline. We have worked with many clients across various therapeutic areas and phases of clinical trials. We are confident that we can meet your expectations and help you achieve your research goals.

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    • Meta-Clinical

      Meta-Clinical is committed to providing you with the best data operation services as a CRO. We have a proven track record of delivering high-quality results within budget and timeline.

    We have worked with many clients across various therapeutic areas and phases of clinical trials. We are confident that we can meet your expectations and help you achieve your research goals.
    Data management (DM) is the process of collecting, validating, cleaning, and organizing data from clinical trials. Our DM team ensures that the data is accurate, complete, consistent, and compliant with regulatory standards and protocols. We use advanced software and tools to design, build, and maintain databases, as well as to perform data quality checks, query resolution, coding, and reconciliation. We also provide data analysis and reporting services to help you interpret and present your results.

    CRF design, review, annotation CRF, CCI

    Database design and set-up

    Developing Data Management Plan and Report

    Developing Data Validation Plan

    Data entry and comparison

    Data validation and cleaning

    Query generation and resolving

    Serious adverse events reconciliation

    External data reconciliation

    Medical coding

    Support data review meeting

    Data quality control

    Statistical programming (SP) is the process of creating and executing programs to perform statistical analysis and generate tables, figures, and listings (TFLs) for clinical trial outcomes. Our SP team has extensive experiences and expertises in various programming languages, platforms and standards, such as SAS, R, Python, and CDISC. We follow the best industrial practices and guidelines to ensure the quality and validity of our programs and outputs. We also provide validation, documentation, and submission support services to help you meet the regulatory requirements.

    Analysis of Dataset (ADS) Development

    CDISC SDTM Data Mapping and Transfer

    CDISC ADaM dataset programming

    Programming for Protocol Deviation

    Programming of Statistical Analysis Population

    Database lock and transfer

    Statistical Programming

    Programming of tables, listings, and figures

    Biostatistics (BS) is the application of statistical methods and techniques to analyze and interpret data from clinical trials. Our BS team consists of qualified and experienced biostatisticians, who can provide you with sound statistical advices and solutions for your research questions. We can assist you with study design, sample size calculation, randomization, protocol development, statistical analysis plan (SAP) writing, interim analysis, final analysis, and interpretation of results. We also provide statistical review and consultation services to help you address any issues or challenges that may arise during the course of your study.

    Protocol develop/review

    Statistical related recommendations, sample size calculations

    Randomization schemes

    CRF design/review

    Data verification plan review

    Developing statistical analysis plan (SAP), statistical analysis report(SAR)

    Preparation of Statistical tables, data listings, and figures

    Statistical analysis/consulting

    Statistical verification

    Recommendation and review of clinical study report(CSR)

    Data Monitoring Committee (DMC) support