Biostatistical Analysis
Statistical analysis planning, appropriate methodology selection, and reliable results reporting for clinical and academic research.
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18
YEARS
Support for machine learning, radiomics analysis, predictive modeling, and model validation using clinical data, imaging data, and research outputs.
Big data, medical imaging analysis, artificial intelligence, and predictive modeling are increasingly important in health research. msCRO provides methodological and statistical support for machine learning, AI-supported data analysis, radiomics feature extraction, model validation, and explainable AI analyses within clinical research and academic publication projects.
These services are provided for research-oriented model development and scientific reporting. Model performance is evaluated using ROC/AUC, calibration, decision curve analysis, internal/external validation, feature selection, and explainability methods. The aim is not to provide clinical decision-making or diagnosis, but to analyze research data scientifically and report it in accordance with academic standards.
Statistical analysis planning, appropriate methodology selection, and reliable results reporting for clinical and academic research.
Read moreMethodological planning, data management, statistical analysis, and scientific reporting support for clinical research processes.
Read moreStructuring scientific studies into manuscripts, thesis-derived articles, reviews, case reports, book chapters, and other academic publication formats.
Read moreScientific and strategic support for journal selection, manuscript submission, reviewer revision, and response letter preparation.
Read moreScientific support for research questions, hypothesis development, endpoints, methodology, and ethics committee application file preparation.
Read morePreparation of oral presentations, poster presentations, congress abstracts, and academic presentation files with scientific consistency.
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