The Faculty of Medicine at the University of East Sarajevo, located in Foča, is one of the key medical higher education institutions in Bosnia and Herzegovina. It is particularly important because it combines a traditional medical programme with a dental medicine programme, integrating clinical medicine, dental practice, nursing sciences, public health and biomedical research within a single academic environment.
For students of medicine and dental medicine in Foča, statistical data analysis represents a crucial component of bachelor’s, master’s, doctoral and scientific research work. Data originate from a wide range of sources, including clinical findings, laboratory measurements, dental examinations, radiological diagnostics, questionnaires, quality of life scales, pain assessments, dental anxiety measures and epidemiological or retrospective datasets. Because of this diversity, statistical analysis must be carefully adapted to the research question rather than applied as a generic technical procedure.
Statistical data analysis for the Faculty of Medicine Foča
Research at the Faculty of Medicine Foča spans multiple domains. Clinical studies focus on treatment outcomes, complications, diagnostic accuracy and differences between patient groups. Dental research addresses oral health, caries, periodontal indicators, orthodontic measurements, implantology, prosthodontics and radiological findings. In addition, patient satisfaction, dental anxiety and quality of life are frequently analyzed.
In this context, statistical analysis is not merely a final step but an integral part of the research design. The research question, outcome variables, predictors and statistical methods must be clearly defined at the beginning. SPSS is commonly used as a practical tool for data analysis. However, methodological decisions remain the responsibility of the researcher. A useful starting point is the section on statistical help for SPSS and research, while regional context is covered by statistical support for Bosnia and Herzegovina.
Characteristics of medical and dental data
Medical data typically include continuous, categorical and ordinal variables. Continuous variables include laboratory values, age and treatment duration. Categorical variables include diagnoses and outcomes, while ordinal variables are common in pain scales and satisfaction ratings.
Dental data introduce additional complexity because the unit of analysis may not always be the patient. Studies may analyze individual teeth, implants or treatment units. When multiple observations come from the same patient, they are not independent and must be treated accordingly.
Survey-based studies require careful handling of scales and composite scores. Understanding the structure, scoring and internal consistency of instruments is essential for valid interpretation.
Research design
Cross-sectional studies are common in student research because they provide a snapshot of a population. Retrospective studies rely on existing data and offer accessibility but require careful handling of missing data. Prospective studies allow controlled data collection and are particularly useful for evaluating interventions and changes over time.
Depending on the research question, different statistical approaches are needed. Guidance is available in the article which statistical method to use and when.
Statistical methods
Descriptive statistics summarize the data. Group comparisons use t-tests, ANOVA or non-parametric tests. Correlation analysis evaluates relationships, while regression identifies predictors of outcomes.
ROC analysis is used to assess diagnostic accuracy, while survival analysis applies to time-to-event outcomes.
SPSS and interpretation
A common mistake is focusing solely on p-values. Statistical significance does not necessarily imply clinical importance. Interpretation should include effect size and practical relevance.
The SPSS guide provides a structured approach.
Sample size and planning
Sample size strongly affects research validity. The guide on how many participants are needed provides useful guidance.
Ethics and responsibility
Statistical support may include analysis and presentation, while the author remains responsible for the final interpretation. This is explained in is it allowed to get statistical help.
I prepare statistical results and suggest presentation methods. The author remains responsible for interpretation.
FAQ
Can medical research from Foča be analyzed?
Yes. Clinical data, laboratory findings, diagnostic tests, hospitalization, complications, treatment outcomes and patient follow-up can be analyzed.
Can dental research from Foča be analyzed?
Yes. Oral health, dental anxiety, periodontal indicators, orthodontic parameters, implant outcomes, radiological findings and patient satisfaction can be analyzed.
Can surveys from nursing or rehabilitation be analyzed?
Yes. Likert scales, knowledge, attitudes, satisfaction, quality of life, functional status, communication, patient safety and professional competencies can be analyzed.
Is SPSS sufficient?
For many bachelor’s, master’s, doctoral and scientific papers, SPSS is sufficient. More complex longitudinal, hierarchical or advanced models may require additional tools.
Keywords
Faculty of Medicine Foca statistics, dental medicine Foca SPSS, medical data analysis Bosnia, clinical research Foca statistics, University of East Sarajevo Faculty of Medicine SPSS, dental data analysis Foca, public health Foca statistics
Metatext
Statistical data analysis for the Faculty of Medicine Foča: SPSS, clinical research, dental medicine, public health and interpretation.
