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Research Statistical Analysis

Survey, public-health, and reproducible statistical workflows

Fiverr GigPythonRSPSSStataSurvey Data

Offer summary#

This offer is built for buyers who already have a dataset and a real analytic question, but need the work done with more rigor than a generic spreadsheet summary. The core promise is simple: I clean the data, run the requested statistical workflow, document the method, and return results in a form that can be checked and reused.

Typical delivery bundle#

  • cleaned dataset with variable notes
  • reproducible script or notebook in Python, R, SPSS syntax, or Stata do-file form
  • tables and figures suitable for a report or appendix
  • short interpretation memo explaining what was tested, what was found, and what remains uncertain

Representative methods#

  • descriptive statistics and data-quality checks
  • cross-tabulations and hypothesis testing
  • linear, logistic, and count regression
  • subgroup comparisons and interaction terms
  • survival or event-history analysis when the data supports it
  • survey-weighted summaries where weights and design variables are available

Why this fits my background#

My formal training is in statistics, and much of my research work sits between machine learning and policy-relevant quantitative analysis. Relevant examples on this site include Distributed Causality in the SDG Network, Pretrained Encoders for Global Child Development, and Green-NAS.

Sample workflow#

  1. confirm the research question, outcome variable, and expected output format
  2. inspect the dataset, codebook, and missingness pattern
  3. clean and document the analysis sample
  4. run the planned analysis and diagnostics
  5. return tables, visuals, and a short interpretation note

Package ladder#

  • Basic - $45: descriptive statistics, visuals, and a short summary on a clean or nearly clean dataset
  • Standard - $125: one regression or inference workflow with interpretation
  • Premium - $280: full workflow with a reproducible appendix and delivery-ready figures/tables

Buyer fit#

This is for survey, research, public-health, NGO, and policy work. It is not positioned as coursework help, and it does not promise significance on demand.