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I am working with two tidy Excel workbooks about 1179 rows each, that hold research data and I need sound, publication-ready statistics drawn from them. The files are already cleaned and variables are clearly labelled; what is missing is the proper analytical plan, execution, and concise interpretation of the results. Scope of work You will review both sheets, recommend the appropriate tests (descriptive, inferential, or predictive as the data dictate), run the analyses in the software of your choice—R, SPSS, or SAS are all fine—and translate the numbers into clear insights that can slot straight into a manuscript or report. Where assumptions or model choices matter, please note them so I can justify the methods to peer reviewers. Deliverables • Brief analysis plan outlining the chosen tests and why • Annotated script or syntax file so the work is fully reproducible • Clean output tables and figures ready for Word/LaTeX insertion • A short interpretation memo (one-page max) highlighting key findings and limitations Acceptance criteria Results must be reproducible from the supplied script on the same datasets, p-values and confidence intervals reported to two decimal places, and any model diagnostics included where relevant. Turnaround is flexible within a week, but let me know if you need more time after you see the spreadsheets.
Project ID: 40416165
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Publication-ready biostatistics work requires both technical precision and transparent methodology—two areas where reproducibility and peer-review defensibility are non-negotiable. This project sits squarely within scope: two cleaned datasets of 1179 rows each need appropriate statistical testing, model selection justification, and manuscript-ready output. SPSS and R are core tools in the toolkit, alongside demonstrated competence in statistical analysis, data visualization, and research methodology. The deliverables—analysis plan, annotated syntax, clean tables, and interpretation memo—align directly with how research-grade analyses are structured and documented. The analytical workflow here is straightforward: dataset review to establish variable types and distributions, test selection based on assumptions (normality, homogeneity of variance where relevant), execution with full diagnostic reporting, and interpretation grounded in the data rather than narrative convenience. All outputs will include p-values to two decimal places, confidence intervals, assumption checks, and reproducible scripts. The one-week timeline is workable; datasets will clarify scope once shared. Ready to begin with the spreadsheets.
$30 USD in 1 day
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Edmonton, Canada
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Member since Oct 7, 2013
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