msCRO — Medical Statistic CRO
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18 YEARS
msCRO 18 YEARS
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CRO Solutions

Methodological, statistical and scientific support across every stage of clinical research — from design to publication.

msCRO provides professional CRO solutions across the critical stages of research — from the design of clinical studies to data management, from biostatistical analysis to scientific reporting and publication preparation.

Each study is structured by evaluating the research question, hypothesis, target population, endpoints, data structure, analysis strategy, ethical requirements and publication goal together. The aim is not merely to run clinical research operationally, but to transform it into a methodologically defensible, statistically sound and scientifically strong research structure.

msCRO provides scientific support tailored to each study's needs for academic clinical studies, retrospective and prospective research, clinical drug and device studies, cosmetic product research, medical product evaluations and health-technology projects.

A · CRO

Research Design & Application File Support

The right research question, sound methodology and complete scientific file preparation form the foundation of strong clinical research.

01

Clinical Research Design & Methodology

Support for planning the research question, hypothesis, endpoints and an appropriate study design with scientific rationale. The clinical aim, data collectability, analysability and publication goal are evaluated together.

  • Research question and hypothesis framing
  • Defining primary / secondary endpoints
  • Study type selection
  • Randomized controlled, cohort, case-control and cross-sectional designs
  • Structuring inclusion / exclusion criteria
  • Scientific and statistical planning of variables
  • Methodological justification
  • Study design aligned with the publication goal
02

Ethics Committee & Institutional Application File Support

Support for preparing the study file scientifically, methodologically and statistically for ethics committee and relevant institutional application processes. The application file is structured coherently in terms of research aim, methodology, data collection, analysis plan and study documents.

  • Initial application file preparation support
  • Scientific structuring support for the research protocol
  • Preparation of ethics committee application documents
  • Statistical analysis plan for the application
  • Structuring the methods and sample sections
  • File integrity and consistency review
  • Scientific support for revision or supplementary documents
03

Study Documents (Protocol, Informed Consent and CRF)

Support for preparing the clinical research protocol, participant information/consent text and case report form drafts in alignment with the study design and analysis plan.

  • Study protocol draft
  • Informed consent / participant information draft support
  • Case report form design
  • CRF content planning
  • Variable list and data dictionary creation
  • Document revision and formatting support
  • Data collection form aligned with the analysis plan
B · CRO

Clinical Operations & Monitoring Support

Planning, coordination, monitoring documentation and orderly data flow are critical to the reliability of clinical research.

04

Clinical Project Management

Support for the management of clinical research through timeline planning, team coordination, process tracking and regular progress reporting.

  • Creating the study timeline
  • Defining milestones
  • Team and stakeholder coordination
  • Process and progress reports
  • Monitoring risk and delay areas
  • Tracking study documents throughout the process
  • Project flow aligned with publication and reporting goals
05

Monitoring (On-site & Remote)

On-site or remote monitoring of study sites supports protocol compliance, data integrity and regular tracking of study documents.

  • On-site monitoring support
  • Remote monitoring support
  • Creating a monitoring plan
  • Regular monitoring reports
  • Protocol compliance assessment
  • Data integrity and consistency checks
  • Reporting of monitoring findings
06

Clinical Data Management + CRF / eCRF Design

Data management support for collecting, organizing, checking and transforming clinical research data into an analysis-ready database.

  • CRF / eCRF design
  • Planning data variables
  • Data entry and validation support
  • Missing data checks
  • Outlier and inconsistency assessment
  • Data cleaning and quality control
  • Pre-database-lock controls
  • Building the analysis-ready data set
C · CRO

Biostatistics & Advanced Analytics

Scientific rigour is the goal at every step — from analysis planning to reporting, from classical statistical methods to research-oriented advanced analytic models.

07

Statistical Analysis Plan (SAP)

Support for preparing a statistical analysis plan suited to the study design, data structure and endpoints.

  • Defining the analysis strategy
  • Primary / secondary analysis methods
  • Determining statistical assumptions
  • Planning subgroup analyses
  • Sensitivity analyses
  • Defining the missing-data approach
  • Table and figure plan
  • Establishing the reporting format
08

Sample Size & Power Analysis

Sample size is calculated in line with the research hypothesis, expected effect size, variance assumptions, alpha level and the targeted statistical power.

  • Effect size assumptions
  • Variance and proportion assumptions
  • Power and alpha level selection
  • Sample size calculation
  • Sample planning by group ratios
  • Drop-out / loss-rate adjustment
  • Scenario and sensitivity analyses
  • Reporting for the application file or protocol
09

Statistical Analysis & Reporting (Tables, Figures and Clinical Study Report)

Conducting statistical analyses using SPSS, R and Python, with support for reporting results as tables, figures and clinical study reports.

  • Descriptive statistics
  • Group comparisons
  • Regression analyses
  • ROC and diagnostic performance analyses
  • Survival analyses
  • Multivariable modeling
  • Table and figure production
  • Clinical study report support
  • Scientific interpretation of analysis results
10

Advanced Analytics, AI & Radiomics (Research-Purpose Modeling Support)

Research-purpose methodological and statistical support for machine learning, radiomics feature extraction, predictive modeling and model validation processes.

  • Machine learning model development
  • Clinical predictive modeling
  • Risk scoring model development
  • Radiomics feature extraction
  • DICOM data preprocessing support
  • Post-segmentation radiomics analysis
  • Internal / external model validation
  • ROC / AUC analysis
  • Calibration and decision curve analysis
  • SHAP and model explainability
  • Academic reporting support
D · CRO

Medical Writing & Publication Process Support

Strong academic structuring and publication-process support that make research findings visible with scientific integrity.

11

Medical Writing (Manuscripts, Case Reports, Congress Abstracts)

Support for structuring scientific studies into SCI/SCI-E manuscripts, case reports, reviews, congress abstracts, posters and short reports.

  • SCI / SCI-E manuscript preparation
  • Thesis-to-article conversion
  • Case report writing
  • Review article structuring
  • Congress abstract and poster text
  • Letter to the editor
  • Short communication
  • Academic text structuring
12

Publication Process & Academic Revision Support

Scientific and strategic support for journal selection, submission preparation, reviewer revision and response letter processes.

  • Journal selection strategy
  • Manuscript submission file preparation
  • Formatting to journal requirements
  • Scientific evaluation of reviewer comments
  • Structuring the revision text
  • Response letter preparation
  • Post-rejection restructuring
  • Publication strategy consulting

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