SPSS Biostatistics for Retrospective Study
Budget: $250 – $750 USD
I am analysing a retrospective descriptive study focused on infectious diseases and microbiology and need a biostatistician who feels at home in SPSS to guide the project from raw data to clear, publishable results. The dataset is already collected; what remains is turning those records into trustworthy insights.
Your contribution will begin with a careful review of the raw tables to remove inconsistencies, outliers, and duplicates. Once the data are clean, I’ll count on you to choose and run the appropriate statistical tests and models that fit a descriptive, retrospective design—think comparisons of proportions or means, trend analyses over time, and any multivariable work that strengthens the narrative. Finally, the findings must be translated into intuitive visuals (figures and tables ready for journal submission) that spotlight key patterns in pathogen prevalence, resistance profiles, or clinical outcomes.
Deliverables
• A fully cleaned SPSS dataset with a brief log of decisions made
• Syntax files (or annotated output) for all statistical procedures so the work is fully reproducible
• A concise statistical report summarising methods and main results in manuscript-ready language
• Publication-quality charts and tables, formatted per standard microbiology/infectious disease guidelines
If you are comfortable collaborating on interpretation and can explain your choices in plain language for a mixed clinical audience, let’s connect and set up a timeline.
Your contribution will begin with a careful review of the raw tables to remove inconsistencies, outliers, and duplicates. Once the data are clean, I’ll count on you to choose and run the appropriate statistical tests and models that fit a descriptive, retrospective design—think comparisons of proportions or means, trend analyses over time, and any multivariable work that strengthens the narrative. Finally, the findings must be translated into intuitive visuals (figures and tables ready for journal submission) that spotlight key patterns in pathogen prevalence, resistance profiles, or clinical outcomes.
Deliverables
• A fully cleaned SPSS dataset with a brief log of decisions made
• Syntax files (or annotated output) for all statistical procedures so the work is fully reproducible
• A concise statistical report summarising methods and main results in manuscript-ready language
• Publication-quality charts and tables, formatted per standard microbiology/infectious disease guidelines
If you are comfortable collaborating on interpretation and can explain your choices in plain language for a mixed clinical audience, let’s connect and set up a timeline.