#statisticalmethodologies

COD Research provides deep expertise in Statistical Planning, supporting clients in defining primary and secondary objectives that meet both scientific and regulatory requirements. Our team expertly determines the appropriate sample size for clinical trials to minimize both Type I and Type II errors. We apply a full spectrum of advanced statistical methodologies, including ANOVA, Linear Regression, Logistic Regression for various data types, and specialized Survival Analysis using Kaplan-Meier curves and Cox Models. This rigorous analytical approach guarantees the accuracy and reliability of your trial outcomes, providing the strong evidence needed for successful regulatory submissions. Achieve credible results with expert statistical foresight: Clinical Development Services.

COD Research provides deep expertise in Statistical Planning, supporting clients in defining primary and secondary objectives that align with regulatory requirements. A crucial service is determining the appropriate sample size for clinical trials to ensure sufficient power while minimizing Type I and Type II errors. Their team applies advanced statistical methodologies, including complex models like ANOVA, Linear Regression, Logistic Regression, and Survival Analysis (Kaplan-Meier curves and Cox Models). This high-level analytical capability ensures the final data analysis is precise, credible, and fully supports the regulatory objectives. Secure accurate and reliable trial outcomes with expert statistical foresight: Clinical Development Services.