I can help you conduct statistical analysis and reporting using SAS
- 4.7
- (5)
Project Details
Why Hire Me?
With 7+ years of hands-on experience in statistical modeling and data analysis, I use SAS to deliver high-quality, reliable results.
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Proficient in SAS procedures for regression, ANOVA, logistic models, and multivariate techniques
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Experienced in both academic research and enterprise data analytics
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Skilled in working with large datasets, automating tasks, and generating repeatable outputs using macros
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Capable of producing clean, interpretation-ready reports for non-technical audiences
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Strong understanding of industry-specific applications including healthcare, finance, and public policy
What I Need to Start Your Work
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Project Details
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A concise description of your objectives and hypotheses
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Specific research questions or applied problems you aim to address
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Data and Data Description
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Dataset(s) in
.sas7bdat
,.csv
, or.xlsx
formats -
Variable names, data sources, data types, and any preprocessing details
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Analysis Scope
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Preferred techniques (e.g., regression, classification, survival analysis)
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Any required SAS procedures (e.g.,
PROC REG
,PROC GLM
,PROC LOGISTIC
, etc.)
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Reporting Expectations
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Preferred output format (Word report, PDF summary, annotated SAS output)
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Any charts, statistical tables, or formatting guidelines for academic or professional presentation
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Communication & Timeline
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Preferred communication channels (email, phone, etc.)
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Expected timeline, key milestones, or final submission dates
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Portfolio

SAS Logistic Regression Used to Analyze Clinical Trial Outcomes
Applied logistic regression in SAS to analyze treatment response in a Phase III clinical trial. Findings supported regulatory documentation, R&D decisions, and improved patient subgroup targeting.

Built Loan Default Prediction Model Using SAS Statistical Techniques
Used SAS to develop a predictive model for identifying high-risk loan applicants. Analysis improved default detection, supported automated underwriting, and enhanced credit risk management strategies.

Explored Voter Turnout Trends Using SAS Multivariate Analysis
Used SAS to analyze U.S. voter turnout using demographic and socioeconomic data. Results identified key turnout predictors and supported strategic decisions in public policy and campaign targeting.
Process

Customer Reviews
5 reviews for this Gig ★★★★★ 4.7
forecasting part using sas procedures was very helpful especially with demand prediction for our product launch
wasn't sure if my data was ready for analysis but he guided through every sas step and delivered a complete report on time
needed help with logistic regression for clinical trial data and got it done quickly with excellent interpretation
model building was spot on but i had to ask twice for visualization still the sas code worked perfectly and report was clear
he helped clean and transform my messy insurance dataset in sas and explained everything simply even for non coder like me