At PhDStats Advisor, I offer comprehensive statistical consulting and data analysis solutions (PhD research data analysis services) specifically tailored to the needs of Indian professors, PhD scholars, medical professionals, and industry researchers. Whether you are just beginning to collect data or are in the final stages of writing your thesis chapters, my goal remains the same: to deliver professional-grade, turnkey analysis. Furthermore, each service includes complete write-ups, enabling you to focus on interpreting the results instead of struggling with the numbers.
Core Service Areas
- Exploratory Analysis
- To begin with, I investigate raw data sets to uncover patterns, identify anomalies, and verify underlying assumptions.
- Next, I use visualizations—such as tables, charts, graphs, and summary statistics—to guide deeper analysis.
- Based on these findings, I determine the most appropriate statistical techniques aligned with your specific research questions.
- Descriptive Analysis
- Once the exploratory stage is complete, I move on to systematically summarizing data characteristics using tools like frequency tables, cross-tabs, and measures of central tendency and dispersion.
- In addition, I craft publication-quality tables and figures that clearly communicate your key findings.
- To support your academic writing, I also provide text-based narratives that interpret descriptive statistics for inclusion in thesis chapters or journal manuscripts.
- Inferential Analysis
- At this stage, I perform hypothesis testing—including t-tests, chi-square tests, and ANOVA—to examine statistically significant relationships.
- As a result, you can draw valid inferences that extend to your broader research population.
- Predictive Analysis
- When your goal is forecasting or classification, I build regression models (linear, logistic, multivariate) and conduct rigorous diagnostics, such as residual plots and multicollinearity checks.
- Furthermore, I develop advanced statistical or mathematical models—such as SEM, EFA/CFA, and time-series forecasting—to support data-driven predictions.
- For more complex tasks, I implement machine-learning techniques (e.g., decision trees, neural networks) in R for supervised classification or regression.
- Finally, I validate these models using cross-validation techniques, ROC curves, and other performance metrics to ensure reliability.
- Analysis Writing & Reporting
- In parallel with the analyses, I compose clear, concise write-ups of methods, results, and interpretations—formatted to meet university or journal requirements.
- Moreover, I integrate tables and figures seamlessly into your documentation, complete with descriptive captions and footnotes.
- Most importantly, I ensure that your “Results” chapter highlights novel findings in a way that helps readers quickly grasp their significance.
- Analysis Automation
- To increase efficiency, I automate repetitive tasks in Excel or R—reducing manual errors, saving time, and maintaining reproducibility.
- Additionally, I build self-updating dashboards and interactive templates that regenerate tables, charts, and outputs whenever raw data is updated.
- This empowers you to run follow-up analyses or incorporate new data without redoing every calculation by hand.
- Research Methodology Advice
- Before you collect data, I guide you through the design of your study, helping with data collection strategies and the development of instruments such as questionnaires and surveys.
- Along the way, I help you frame testable hypotheses and choose sampling techniques that enhance validity and reliability.
- Furthermore, I recommend resources, tools, and best practices to strengthen your overall research methodology.
- Additional Services
- Synopsis & Research Proposal Support: I help refine your research questions, objectives, and study design while developing structured proposals that meet university guidelines.
- Questionnaire Design & Validation: I assist in crafting survey instruments, pilot-testing items, and conducting reliability and validity assessments.
- Excel & R Problem Solving: I troubleshoot coding issues, optimize formulas, and mentor you in best practices for statistical programming.
Fees & Turnaround Times
- Consultation / Advice / First briefing meeting: ₹1,000 per hour (prorated and deposited in advance).
- Outsourced Data Analysis Packages: Flexible pricing with discounts for bundled services (e.g., combining inferential analysis with write-up and automation).
- Minimum project value is ₹10,000 (≈10 man-hours or 20 pages). Final fees depends on analytical rigor and types and quantity of analysis needs.
- Standard Delivery Time-lines:
- Novice (Pkg 1): 10 Man-hours
- Smart (Pkg 2): 20 Man-hours
- Value (Pkg 3): 30 Man-hours
- Quality (Pkg 4): 35 Man-hours
For details visit the PhD research data analysis services pricing page
Get in Touch for PhD research data analysis services
Whether you’re an early-stage PhD scholar formulating hypotheses or a seasoned professor needing a full thesis chapter consider getting in touch with me by visiting the “Get in Touch for PhD research data analysis services” page.
Frequently Asked Questions for PhD research data analysis services
Do you sell complete theses, dissertations, or articles?
No—PhDStats Advisor strictly provides data-related services (analysis, methodology advice, automation). If you already possess a document, I can help with all data-centric tasks (e.g., analysis, write-up, interpretation) but not author entire chapters or papers.
Who are your typical clients?
My clients come from a range of academic and professional backgrounds. Specifically:
■ First, I work with pre-doctoral candidates, PhD scholars, and PhD holders who require specialized quantitative expertise.
■ In addition, I support medical doctors engaged in clinical or epidemiological research, helping them navigate complex data challenges.
■ Moreover, I collaborate with professional researchers across various fields—including social sciences, life sciences, healthcare management, and related domains—who seek reliable and insightful data analysis.
■ First, I work with pre-doctoral candidates, PhD scholars, and PhD holders who require specialized quantitative expertise.
■ In addition, I support medical doctors engaged in clinical or epidemiological research, helping them navigate complex data challenges.
■ Moreover, I collaborate with professional researchers across various fields—including social sciences, life sciences, healthcare management, and related domains—who seek reliable and insightful data analysis.
What types of assignments do you accept?
■ I accept a wide variety of research-based data analysis projects. Specifically, this includes exploratory, descriptive, inferential, and predictive analyses.
■ In addition to core analysis services, I also offer support with related tasks. These include content writing for data sections, plagiarism-proofing, proofreading, and editing—though only for data-related chapters.
■ Furthermore, I provide assistance with data collection methodology and conduct thorough checks to detect any fabricated data.
All assignments are delivered in English, ensuring clarity and consistency in academic communication.
■ In addition to core analysis services, I also offer support with related tasks. These include content writing for data sections, plagiarism-proofing, proofreading, and editing—though only for data-related chapters.
■ Furthermore, I provide assistance with data collection methodology and conduct thorough checks to detect any fabricated data.
All assignments are delivered in English, ensuring clarity and consistency in academic communication.
When is the right time to hire PhDStats Advisor?
■ For Data Analysis Outsourcing: Once you have collected and cleaned your raw data (or at least have a preliminary dataset).
■ For Paid Consultation / Advice: Any time you need guidance—whether you’re designing surveys, framing hypotheses, or troubleshooting code.
■ For Paid Consultation / Advice: Any time you need guidance—whether you’re designing surveys, framing hypotheses, or troubleshooting code.
What documents do you require before starting a project?
■ A brief research overview: topic, objectives, and a sample of collected data (e.g., few rows in CSV/Excel).
■ Codebooks, questionnaires, or variable descriptions to ensure clarity on measurement scales.
■ Without these, it’s not feasible to scope or commence analysis.
■ Codebooks, questionnaires, or variable descriptions to ensure clarity on measurement scales.
■ Without these, it’s not feasible to scope or commence analysis.
Will you write my complete thesis or dissertation?
No—My expertise is strictly in data and data-analysis tasks. I will not author entire chapters outside of data interpretation. Therefore, any additional writing like literature review, introduction and research methodology is outside my scope.
What is your payment policy?
■ Consultation / Advice / First briefing meeting: Payment upfront for each hour (₹1,000/hr).
■ Outsourced Analysis: Partial advance (usually 50 %) to secure your slot; balance due upon delivery.
■ No Credit: Full payment or agreed partial advance required before work begins.
■ Outsourced Analysis: Partial advance (usually 50 %) to secure your slot; balance due upon delivery.
■ No Credit: Full payment or agreed partial advance required before work begins.
What payment methods are accepted?
Digital payments only: UPI.
Can you share details of past work?
■ Client work is confidential; I cannot share raw data or full reports.
■ You may request anonymous examples of my analysis outputs (tables, graphs, code snippets) during the consultation.
■ You may request anonymous examples of my analysis outputs (tables, graphs, code snippets) during the consultation.
Do you work remotely or on-site?
■ Primary support is remote (via email or video call).
■ On-site visits are not available; all collaboration is digital.
■ On-site visits are not available; all collaboration is digital.
What is the minimum value of an outsourced project?
■ Synopsis / Research Proposal: Minimum ₹10,000 (≈10 man-hours or 20 pages).
■ Data Analysis Chapter: Fees vary by package (starting at ₹10,000 for basic descriptive tasks).
■ Consultation: Minimum one hour (₹1,000).
■ For any other custom requirement, please request a quote and payment terms.
■ Data Analysis Chapter: Fees vary by package (starting at ₹10,000 for basic descriptive tasks).
■ Consultation: Minimum one hour (₹1,000).
■ For any other custom requirement, please request a quote and payment terms.
Ready to elevate your research with rigorous, reproducible analysis?
- Send Your Research Details: Email with a brief on your topic, objectives, and sample data.
- Book a Consultation: Schedule a call to discuss your project scope and time-line.
- Secure Your Slot: Provide advance payment to confirm your project start date.
All services are subject to confidentiality agreements and ethical data-use policies.