Work with Medical & Clinical Trials Biostatistician Eren – View Profile!

Cohort and Prospective Study Statistical Analysis Support

    5.00 /5.0
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I provide advanced statistical support for cohort and prospective studies in clinical and healthcare research. With extensive experience in handling large observational datasets, I deliver rigorous, reproducible, and publication-ready analyses tailored to your study design and research questions.
My services include:

  • Design and analysis of prospective and retrospective cohort studies
  • Risk factor identification and regression modelling (logistic, Poisson, Cox)
  • Longitudinal and repeated measures analysis for follow-up data
  • Time-to-event and survival analysis with competing risks if required
  • Subgroup, sensitivity, and interaction analyses
  • Preparation of results as tables, figures, and listings (TFLs) suitable for peer-reviewed publications

Software expertise covers R, SAS, Stata, and SPSS, ensuring flexibility and compliance with academic and regulatory standards.

đź“© Send your cohort study details, and I will ensure robust statistical analysis that strengthens your evidence base and supports journal submission.

Fequently asked questions

1. What types of cohort studies do you support?

I work with both prospective and retrospective cohort studies, including registry-based, hospital-based, and population-based datasets, as well as real-world evidence studies.

All data are handled under strict confidentiality, stored securely, and never shared with third parties. I can sign an NDA or data use agreement if required.

I apply logistic regression, Poisson regression, Cox proportional hazards, Fine–Gray competing risks, and longitudinal mixed models depending on your study design and outcomes.

Yes, I conduct survival analysis using Kaplan–Meier, Cox models, and competing risk methods for outcomes such as mortality, disease progression, or treatment response.

I use techniques such as multiple imputation, mixed-effects modelling, and sensitivity analyses, always aligned with ICH E9(R1) recommendations.

Yes, I deliver outputs as structured tables, figures, and listings (TFLs) suitable for journal submission or reports, along with clear explanations of statistical methods.

I primarily use R, SAS, and Stata for advanced modelling. SPSS can be used for applied healthcare datasets if requested.

Yes, I perform univariate and multivariable regression analyses to identify predictors, associations, and potential confounders, adjusted for relevant covariates.

A dataset or access to your registry or list of variables, a clear research question, defined outcomes, and any covariates of interest are sufficient to begin the analysis.

Yes, I can prepare the statistical methods and results sections for manuscripts or reports, ensuring clarity, accuracy, and compliance with publication standards.

1 Client reviews

( 5.00 Overall rating )
Hannah Clark
5.0
(4 weeks ago)

Eren’s support was excellent . The cohort study outputs were easy to follow and strengthened our journal submission. I’d definitely work with Eren again for future research projects.