Medical Statistician for Patient Audit Analysis
Budget: $30 – $250 AUD
Statistical Analysis Brief – Retrospective Audit of 130 Patients. Medical Research.
We are seeking a statistician to assist with data analysis for a retrospective clinical audit involving 130 patients with a specific condition. The dataset includes 23 variables comprising demographic data, clinical characteristics, number and type of procedures undergone over several years, and selected outcomes.
Objectives:
1. Descriptive Analysis:
• Perform a comprehensive descriptive statistical analysis of the dataset.
• Provide summary statistics (e.g. means, medians, standard deviations, frequencies, ranges) for key variables.
• Summarise baseline characteristics of the cohort in a clear, publishable format (e.g. Table 1).
2. Association and Correlation Analysis:
• Identify and test for statistically significant associations between relevant variables.
• Investigate correlations or trends (e.g. whether patients with higher BMI are more likely to experience certain outcomes).
• Choose appropriate statistical tests based on data types (e.g. chi-squared, t-test, logistic regression, etc.).
3. Manuscript Contribution – Methods Section:
• Draft a clear and concise “Statistical Methods” section suitable for inclusion in a peer-reviewed manuscript.
• Outline all statistical techniques used, assumptions tested, software utilised, and rationale for test selection.
4. Visualisations and Graphical Output:
• Provide relevant graphs and figures (e.g. boxplots, histograms, scatterplots, forest plots) to illustrate key findings.
• Ensure figures are clear, publication-ready, and labelled appropriately.
Deliverables:
• Summary tables and figures (in Word or Excel)
• Cleaned scripts/output (preferably in R or Python)
• Statistical methods write-up (Word format)
• Recommendations for further analysis, if relevant
Notes:
• Data is de-identified and available in Excel format.
• Clinical context and variable definitions will be provided.
We are seeking a statistician to assist with data analysis for a retrospective clinical audit involving 130 patients with a specific condition. The dataset includes 23 variables comprising demographic data, clinical characteristics, number and type of procedures undergone over several years, and selected outcomes.
Objectives:
1. Descriptive Analysis:
• Perform a comprehensive descriptive statistical analysis of the dataset.
• Provide summary statistics (e.g. means, medians, standard deviations, frequencies, ranges) for key variables.
• Summarise baseline characteristics of the cohort in a clear, publishable format (e.g. Table 1).
2. Association and Correlation Analysis:
• Identify and test for statistically significant associations between relevant variables.
• Investigate correlations or trends (e.g. whether patients with higher BMI are more likely to experience certain outcomes).
• Choose appropriate statistical tests based on data types (e.g. chi-squared, t-test, logistic regression, etc.).
3. Manuscript Contribution – Methods Section:
• Draft a clear and concise “Statistical Methods” section suitable for inclusion in a peer-reviewed manuscript.
• Outline all statistical techniques used, assumptions tested, software utilised, and rationale for test selection.
4. Visualisations and Graphical Output:
• Provide relevant graphs and figures (e.g. boxplots, histograms, scatterplots, forest plots) to illustrate key findings.
• Ensure figures are clear, publication-ready, and labelled appropriately.
Deliverables:
• Summary tables and figures (in Word or Excel)
• Cleaned scripts/output (preferably in R or Python)
• Statistical methods write-up (Word format)
• Recommendations for further analysis, if relevant
Notes:
• Data is de-identified and available in Excel format.
• Clinical context and variable definitions will be provided.