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clinical research.
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comorbidity index: 3
serum sodiumion: 141
albumin: 35
chemotherapy: Cycle 1
ALT: 46
TNM staging: IIIa
ascites: no
chemotherapy: Cycle 1
Age: 61
chemotherapy: Cycle 1
serum sodiumion: 141
hypertension: yes
MRI: breast nodule
MRI: breast nodule
ALT: 46
hypertension: yes
Triglyceride: 0.98
comorbidity index: 3
Age: 61
gender: male
Triglyceride: 0.98
serum sodiumion: 141
electrocardiogram: normal
QLQ-C30: 58
QLQ-C30: 58
comorbidity index: 3
MRI: breast nodule
QALYs: 1.4
BMI: 20.1
QALYs: 1.4
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.
blind
positive control
positive control
randomize
real-world study
protocol
2.The second step
We provide Electronic
Data Capture
Electronic Data Capture(EDC) ensures the authenticity, completeness, and traceability of clinical research.
QALYs: 1.4
MRI: breast nodule
HARS: 27
Age: 61
comorbidity index: 3
gender: male
BMI: 20.1
chemotherapy: Cycle 1
HARS: 27
electrocardiogram: normal
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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