Clinical Data Management and Statistical Analysis
Equilab provides comprehensive Clinical Data Management services to ensure the integrity, accuracy, and reliability of clinical trial data throughout the research process.
Statistical Analysis
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Statistical analysis is a key component of clinical data management, providing insights into the efficacy and safety of investigational products. From descriptive statistics to advanced inferential analyses, we employ a range of techniques to interpret study findings and generate actionable insights for sponsors, investigators, and regulatory authorities.
Data Collection and Queries Resolution
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Equilab's Clinical Data Management team oversees the collection, processing, and management of clinical trial data with meticulous attention to detail. We implement comprehensive data collection protocols to facilitate data entry and monitoring. Our team identifies and resolves data queries to maintain data accuracy and completeness, the quality and integrity of the trial dataset throughout the research process.
Randomization is essential for minimizing bias and ensuring the validity of clinical trial results. Randomization is important to allocate participants to treatment groups in a balanced and unbiased manner. Our randomization protocols are designed to meet regulatory requirements and ensure the integrity of the study design, facilitating the generation of robust and credible evidence.
Randomization
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Sample Size Calculation
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Sample size calculation is a critical step in the design of clinical trials, ensuring that studies are adequately powered to detect meaningful effects. Equilab's experienced biostatisticians work closely with study investigators to determine the optimal sample size based on factors including study objectives, anticipated effect sizes, and statistical power requirements.