我们的专业团队确保数据的准确性和可靠性，为客户的临床试验决策提供坚实的统计学基础。
Our expert team guarantees data accuracy and reliability, establishing a robust statistical foundation for our clients' clinical trial decisions.
Get Started临床试验的样本量基于主要评价指标的相应假设进行估算。试验结论同样源自主要评价指标的统计分析结果。在临床试验过程中，应组建专业的统计团队，负责试验的统计设计和分析。统计分析需有科学合理的依据，并结合临床应用来计算样本量和控制试验过程。
Clinical trial sample sizes are estimated based on assumptions related to primary evaluation indicators. Similarly, trial conclusions are drawn from the statistical analysis of these indicators. Throughout the trial process, a professional statistical team should oversee the trial's design and analysis. This team ensures that statistical analyses are scientifically sound and integrate clinical applications to determine appropriate sample sizes and maintain control over the trial process.
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安全性和有效性指标选择的科学性: 应有流行病学或临床依据。
Should be based on epidemiological or clinical evidence.
统计实施的合理性：应结合临床试验流程制定合适的数据收集计划。
Develop an appropriate data collection plan that aligns with the clinical trial process.
样本量计算的科学性：计算应有充分的科学依据。
Scientifically grounded sample size calculation: Ensure the calculation has a solid scientific basis.
需考虑安全性和有效性验证的指标内容，进行合理有效的统计分析。数据集的分配应符合临床试验实际情况，以确保试验的可信度。
Consider both safety and efficacy verification indicators. Conduct reasonable and effective statistical analysis. Align dataset allocation with the clinical trial's actual circumstances to ensure credibility.