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conduct high-quality
clinical research.
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TNM staging: IIIa
QLQ-C30: 58
BMI: 20.1
QALYs: 1.4
chemotherapy: Cycle 1
gender: male
comorbidity index: 3
gender: male
electrocardiogram: normal
HARS: 27
albumin: 35
albumin: 35
chemotherapy: Cycle 1
QALYs: 1.4
comorbidity index: 3
hypertension: yes
electrocardiogram: normal
chemotherapy: Cycle 1
QALYs: 1.4
stroke: no
stroke: no
electrocardiogram: normal
ALT: 46
gender: male
electrocardiogram: normal
QALYs: 1.4
AFP: 35
AFP: 35
HARS: 27
Triglyceride: 0.98
Let's Start!
We assist you with topic selection, research design, proposal writing, data collection, and statistical analysis.
Research design
Data collection
Statistical analysis
1.The First step
We search for
and identify ideas
Research idea is the core of clinical research. It ensures the scientific and clinical value of the research findings.
meta analysis
meta analysis
real-world study
placebo
placebo
blind
2.The second step
We provide Electronic
Data Capture
Electronic Data Capture(EDC) ensures the authenticity, completeness, and traceability of clinical research.
albumin: 35
HARS: 27
MRI: breast nodule
serum sodiumion: 141
Age: 61
hypertension: yes
Triglyceride: 0.98
electrocardiogram: normal
electrocardiogram: normal
hypertension: yes
3.The third step
We conduct statistical
analysis professionally
1.
Make a Statistical
Analysis Plan
The statistical analysis plan(SAP) provides a clear analytical framework for clinical research and enhances the credibility of the study.
2.
Repeatable data
cleaning
The reproducibility of data cleaning ensures the accuracy and consistency of research data, enhancing the reliability of the study.
3.
Standardized
Statistical Analysis
Statistical analysis provides a scientific basis for clinical research, revealing trends and relationships in the data, supporting decision-making.
4.
Form a statistical
analysis report
Correctly interpreting statistical analysis results can ensure the accuracy of research conclusions and avoid misleading inferences.
team with an
international perspective
We hope to assist your team in achieving a prestigious academic reputation in clinical research.

M.D. Zhen
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Ph.D. Liu
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Ph.D. Teng
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PH.D. Li
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Ph.D. Hua
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Ph.D. Cao
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M.D. Zou
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Ph.D. Liu
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