Cohort and Prospective Study Statistical Analysis Support
-
1 sales
- 49 views
- Save
5.00 /5.0
User reviewI 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.
2. How do you ensure patient data privacy?
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.
3. Which statistical methods are typically used for cohort analysis?
I apply logistic regression, Poisson regression, Cox proportional hazards, Fine–Gray competing risks, and longitudinal mixed models depending on your study design and outcomes.
4. Can you analyse time-to-event outcomes in cohort studies?
Yes, I conduct survival analysis using Kaplan–Meier, Cox models, and competing risk methods for outcomes such as mortality, disease progression, or treatment response.
5. How do you deal with missing data in longitudinal cohorts?
I use techniques such as multiple imputation, mixed-effects modelling, and sensitivity analyses, always aligned with ICH E9(R1) recommendations.
6. Do you provide publication-ready results?
Yes, I deliver outputs as structured tables, figures, and listings (TFLs) suitable for journal submission or reports, along with clear explanations of statistical methods.
7. Which software do you use for cohort analysis?
I primarily use R, SAS, and Stata for advanced modelling. SPSS can be used for applied healthcare datasets if requested.
8. Can you identify risk factors and associations?
Yes, I perform univariate and multivariable regression analyses to identify predictors, associations, and potential confounders, adjusted for relevant covariates.
9. What information do I need to provide to start?
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.
10. Do you also help with writing methods and results?
Yes, I can prepare the statistical methods and results sections for manuscripts or reports, ensuring clarity, accuracy, and compliance with publication standards.
5.0
(4 weeks ago)cohort study
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.