Statistical Analysis of Research Data

@kelvinm094

Hello, I’ve reviewed your observational data project and I’m confident I can deliver a clear statistical analysis using Excel for data preparation and SPSS Statistics for modeling, including a cause-specific Cox model with death as the competing event, restricted cubic splines for delays, and a Fine-Gray sensitivity analysis. I will present descriptive statistics and a concise report outlining methodology, assumptions, and interpretation, with ready-to-use outputs in Excel. Delivery in 2 days with a concise results section and methods appendix. Best regards, Freelancer

@glanegonsalves

Hey there Glane here, I can conduct the analysis using Excel for data preparation and descriptive statistics, with the survival modelling implemented in R where needed for the advanced methods. The workflow will include cause-specific Cox regression with death treated as a competing event, restricted cubic splines for delay duration, and a Fine Gray competing-risks sensitivity analysis, alongside appropriate descriptive summaries and clear interpretation of hazard ratios, confidence intervals, and model assumptions. I’ll provide a reproducible analysis workflow, publication-ready tables/figures, and a concise statistical report with all results clearly linked to the observational dataset.

@citijayamala

1. I am an expert in Statistics, Regression analysis, Linear regression analysis, p value, ANOVAs, etc. I use excel and other statistical software like SPSS, STATA, E-views for data analysis and statistical analysis based on client requirement. 2. Have done many projects in statistics using SPSS, STATA, E-views. I read your project and sure I can handle your project. 3. Your project will be delivered on time with high standard 4. Assistance will be provided with number of clarifications until client satisfaction 5. I will provide assistance even after the payment. And will maintain data (content) security. Please connect in chat for more discussion, Regards, Jaya

@khaliduom103

‎Hi i am an experienced mathematician and statistician withpython/Matlab developer and have PhD in applied mathematics and data analyst.I can help you in mathematics and statisi problems and Matlab/python coding. ‎

@maxscender

I can help you with this analysis. I will build the Cox model in Excel with death treated as a competing risk, using a restricted cubic spline to properly model the non-linear effect of delay duration. I will then run a Fine-Gray sensitivity analysis to validate the robustness of your primary findings against the competing risk assumption. My approach is straightforward: I will first assess your data structure to confirm the necessary variables are formatted correctly, then execute the models, and finally deliver a clear report that interprets the hazard ratios and spline effects in plain language for your research.

@muratalper99

I have a PhD in statistics with vast experience in studying data and preprocessing and running various statistical methods, including Cox regression. I can rün the analyses and present results and interpretation.

@Freelancersedo

Hello, I can help with the statistical analysis of your observational dataset, including descriptive statistics and survival analysis. I can run the cause-specific Cox model with death as a competing event, use restricted cubic splines to assess the relationship with delay duration, and conduct a Fine-Gray sensitivity analysis. I’ll present the results clearly, including hazard ratios, confidence intervals, model assumptions, tables, and relevant figures, with a straightforward interpretation of the findings. Please share the dataset and variable details so I can review everything and confirm the most appropriate analysis approach.

@ianb65

Hi there, Your observational Excel data needs a rigorous survival analysis, including the cause-specific Cox model, death as a competing event, restricted cubic spline for delay duration, and Fine-Gray sensitivity analysis. I have strong expertise in SPSS Statistics, Data Processing, and Excel for exactly this kind of research workflow. I will clean and structure the spreadsheet, run descriptive statistics, fit the Cox regression hazard model, test spline effects for delay duration, and validate findings with a Fine-Gray competing-risk sensitivity check. Best regards, Ian

@bizvivo

Greetings, With a robust background in statistics and data science, complemented by a prolific academic writing portfolio, I am well-equipped to tackle complex data-driven challenges. My expertise is rooted in the successful completion of numerous PhD-level thesis projects, where I employed advanced statistical methodologies to extract meaningful insights from diverse datasets. My professional journey has been marked by collaborations with various companies, leading to projects that demanded high-level quantitative analysis and data interpretation. These projects enabled me to delve into trend analysis, temporal behaviour studies, and comparative assessments of data variables. I possess proficiency in a suite of analytical tools, including SPSS, R, Python, OpenCV, WEKA, Tableau, Power BI, and Excel. My skill set extends to sophisticated techniques such as image processing, machine learning, deep learning, artificial intelligence, natural language processing, hypothesis testing, forecasting, T-tests, and ANOVA, among others. I am eager to engage in discussions that leverage my comprehensive skill set to provide innovative solutions in AI and ML domains. Warm regards, Radhika

@alluankit01

Hi, I can perform the statistical analysis for your observational research data and prepare a clear report covering descriptive statistics, cause-specific Cox regression, competing-risk handling, restricted cubic spline for delay duration, and Fine–Gray sensitivity analysis. The best solution is to first review your Excel dataset, outcome definitions, time-to-event variables, censoring rules, delay duration variable, covariates, and coding structure. Then I’ll clean and prepare the data, generate descriptive summaries, run the survival models, check assumptions, and present results with tables, plots, hazard ratios, confidence intervals, and concise interpretation. I’m comfortable with Excel data handling, observational research datasets, Cox proportional hazards models, cause-specific Cox models, competing risks, Fine–Gray sensitivity analysis, restricted cubic splines, statistical reporting, data visualization, and research-ready result tables. Deliverables will include: * Data review and cleaning * Descriptive statistics * Cause-specific Cox model * Death as competing event handling * Restricted cubic spline analysis * Fine–Gray sensitivity analysis * HR, CI, and p-value tables * Model assumption notes * Charts/plots where needed * Clear statistical report I’ll use Excel for data preparation and reporting, and suitable statistical tools where needed for Cox/Fine–Gray modeling, so the final results are accurate, reproducible, and clearly explained. Best regards Ankit

@albertc1996

Hi there, Albert here. I completely understand you need a comprehensive statistical report for your observational data, specifically focusing on survival analysis including a cause-specific Cox model (accounting for death as a competing event) and a Fine-Gray sensitivity analysis. The tricky part about this project is the toolset. While Excel is excellent for data manipulation, descriptive statistics, and delivering a clean final report, natively running advanced models like restricted cubic splines and Fine-Gray competing risks is beyond standard Excel capabilities. The real challenge is running these robust statistical computations accurately and bridging them back into the clear, Excel-based format you requested. Here is my action plan to deliver exactly what you need: Data Prep & Descriptives: Clean your observational data and generate comprehensive descriptive statistics directly within Excel. Advanced Modeling: Utilize a robust statistical backend (Python/R) to accurately run the cause-specific Cox hazard model, apply the restricted cubic splines for delay duration, and execute the Fine-Gray sensitivity analysis. Comprehensive Reporting: Export all outputs (hazard ratios, confidence intervals, p-values, and spline plots) back into a beautifully formatted, easy-to-read Excel report. Coming from a strong background in Data Analysis and Business Intelligence (BI), I specialize in turning complex mathematical models into crystal-clear, structured reports while maintaining a 100% track record for precision. To ensure the restricted cubic spline accurately captures the non-linear effects of your delay duration, do you already have a specific number of knots in mind, or would you prefer I determine the optimal knots based on the data’s distribution? Best, Albert

@imranahmadquresh

Hi, I understand you need a Data Analyst using Excel for Statistical Analysis of Research Data. I offer my services for this project. I am IBM Data Analyst certified. I have made many Data Analysis based projects using Excel as follows; • Deal with duplicate or null values in data. • Statistical Analysis such as Mean, Median etc. • Merge and append multiple sheets. • Analyze data in spreadsheets by using filter, sort, look‐up functions. • Create basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets. • Construct advanced charts and visualizations such as Treemaps, Sparklines, Histograms, Scatter Plots, and Filled Map Charts. • Construct pivot charts and pivot tables. • Work with Power Query for ETL and ELT to better clean and transform data. • Work with Power Pivot to build charts and tables. • Create measures using Power Pivot to perform advanced analysis. • Build interactive dashboards. • DAX measures for the metrics. I ensure to complete your project efficiently and on time.

@jeandres7

I HAVE RECENTLY FINISHED A SIMILAR PROJECT I completed a comprehensive statistical analysis for a research team, focusing on observational data using Excel. The final report included detailed descriptive statistics and a Cox regression analysis, leading to actionable insights for their study. I can help you effectively analyze your data and deliver a clear report that meets your research objectives. My goal is to ensure your findings are presented in a straightforward and impactful way. I noticed you require a cause-specific Cox model with a focus on death as a competing event, along with Fine–Gray sensitivity analysis, which aligns perfectly with my expertise. My skills in statistical analysis and proficiency in Excel will ensure a seamless process and high-quality results. I'd love to chat about your project! The worst that can happen is you walk away with a free consultation. Regards, Jeandre.

@nushratp

I can perform a comprehensive and reproducible analysis of your observational dataset, including descriptive statistics, cause-specific Cox regression with death as a competing event, restricted cubic spline analysis for delay duration, and Fine–Gray sensitivity analysis. I will ensure accurate data preparation, appropriate model interpretation, publication-ready tables/figures, and a clear statistical report. All results will be generated from your actual dataset with no fabricated results. I can start immediately and deliver within 2–3 days.

@JunaidBadroodien

I believe the best proposal should demonstrate that your project is understood before asking for your trust. Your research project requires a detailed statistical analysis of observational data, leveraging Excel's capabilities to provide clarity and insight. With a focus on descriptive statistics and the implementation of the Cox regression hazard model, I will ensure that your data is not only analyzed but presented in a manner that highlights key trends and patterns. By employing techniques such as the cause-specific Cox model, accounting for death as a competing event, and utilizing restricted cubic splines for delay duration, I will provide a thorough exploration of your data. Additionally, Fine–Gray sensitivity analysis will enhance the robustness of the findings, ensuring they are both reliable and actionable. I have previously worked on a project involving similar statistical methods, where I successfully delivered a comprehensive report that guided future research decisions. This experience equips me to meet the specific needs of your project effectively. Your research deserves a meticulous approach that generates meaningful insights, driving impactful conclusions. Let's create something that not only meets your expectations but sets a new standard for quality. Regards Junaid

@DevanVDW

Hi there, Imagine having your observational data transformed into clear insights that not only meet but exceed your expectations. With my extensive experience in statistical analysis, especially with Cox regression, I’m confident I can deliver a report that’s as clean and professional as you need. I noticed you’re looking for descriptive statistics and a cause-specific Cox model that accounts for death as a competing event. You also mentioned restricted cubic splines for delay duration and Fine–Gray sensitivity analysis. I’m all about creating user-friendly reports that integrate seamlessly into your workflow. I specialize in statistical analysis and have a strong grasp of Excel for data manipulation. I pride myself on delivering concise reports with speedy communication and a fast turnaround time. Let me know if you are available for a quick chat! The worst that can happen is you walk away with a free consultation and a clearer direction for your project. Regards, Devan

@tinyopsezr

Hello, TinyOps Studio can turn your de-identified workbook into a reproducible survival-analysis package covering the cause-specific Cox model, restricted cubic spline for delay duration, and Fine-Gray sensitivity analysis. I would use Excel for the data audit and final result tables, with scripted statistical analysis for the survival models so every estimate can be reproduced. You will receive: - a cleaned analysis workbook with a clear variable map - hazard ratios, confidence intervals, diagnostics, and sensitivity results - publication-ready tables and charts - a concise methods and findings report - the analysis script and one focused revision Before starting, could you confirm the endpoint, competing-death and censoring codes, the time origin, and the adjustment covariates? Please provide de-identified data only. Bid: 10,000 INR fixed, delivered within 3 days after receiving the complete workbook and variable definitions. Work begins after the platform milestone is funded. Thanks, TinyOps Studio LLC

@warrick1718

This project immediately caught my attention because it is exactly the type of work I do best. Your need for a comprehensive statistical analysis report, particularly utilizing the Cox regression hazard model and addressing cause-specific events, aligns perfectly with my expertise in delivering clean, professional, and user-friendly reports. While I am new to freelancer, I have tons of experience and have done other projects off site, focusing on detailed statistical analyses and Excel proficiency. If this sounds like what you're looking for I'd love to hear more about your project. Regards, Warrick Van Eeden

@shainw

Are you struggling to make sense of your research data? I can help you conduct a comprehensive statistical analysis that transforms complex information into actionable insights. I specialise in statistical analysis, particularly with Cox regression models, and have extensive experience with observational data. I will provide you with descriptive statistics, a cause-specific Cox model considering death as a competing event, and incorporate restricted cubic splines for delay duration. Additionally, I will conduct a Fine–Gray sensitivity analysis to ensure robustness in your findings. You can expect clear communication, organised milestones, and regular progress updates throughout the project. I’ll first review your data and recommend the most effective approach tailored to your goals and timeline. Drop me a message, and I'll send examples of my work, showcasing my proficiency in Excel and report writing. Kind regards, Shain Founder | WWD Digital Solutions You have nothing to lose. If we're not the right fit, you'll still receive a FREE professional consultation to help point your project in the right direction—no obligation. ?