PhD Manuscript Statistics Services
Get Professional PhD manuscript statistics services
Enhance Your Manuscript with Expert Statistical Analysis – PhD Assistance Research Lab
PhD manuscript statistics services– Trusted by Scholars from Top Global Universities
Poor statistical reporting is a widespread, long-standing issue in academic publishing. Numerous studies ([Refs 3–19]) have confirmed that a high percentage of journal articles contain serious errors in the application, interpretation, and reporting of statistics, often undermining the study's conclusions. From flawed analysis design to misused inferential tests, statistical missteps can significantly delay or even jeopardize journal publication.
At Ph.D. Assistance, we help you avoid these rejections.
✔ Why Choose Ph.D. Assistance for Your Manuscript Statistics?
Our Ph.D. statisticians and manuscript experts offer deep domain knowledge across disciplines, with years of experience in copyediting, statistical reporting, and research methodology. Through our Statistical Analysis Services for PhD Writing, we ensure that your manuscript complies with Scopus, SCI, and international journal standards, and increasing your chances of acceptance
What We Do: Reporting Statistics in Journal Manuscripts
We support end-to-end statistical analysis and reporting tailored for academic journal submissions:
Preliminary Analyses
• Data transformation for normality
• Ratio creation, outlier handling
• Missing data imputation
Primary Analyses
• Define the objective and variables
• Identify minimal significant differences
• Test assumptions (e.g., normality, homogeneity)
• Sensitivity and subgroup analysis
Reporting Statistical Results
• Descriptive summary statistics
• Inferential tests (t-tests, chi-square, etc.)
• Visual summaries (tables, charts, graphs)
• Reporting OR, RR, HR, AR (risk, rates, ratios)
• Hypothesis testing and p-value interpretation
• Correlation, regression, ANOVA, ANCOVA
• Survival/time-to-event analysis
• Detailed results discussion and referencing
How We Mentor for Ph.D. Research
We offer structured, transparent, and confidential research mentoring:
1. Once confirmed, a dedicated subject-matter expert is assigned.
2. We arrange a 1-on-1 call to discuss your study, timeline, and deliverables.
3. You receive technical guidance, regular updates, and collaborative support through every stage.
Beyond Analysis – We Also Mentor and Rewrite
Our role extends beyond running analyses:
• We help rewrite results sections for clarity and journal compliance.
• We explain concepts, not just provide outputs.
• We guide you on how to interpret, present, and defend your statistical results.
• We strictly follow journal-specific statistical guidelines (e.g., CONSORT, STROBE, APA).
Why This Matters
• Prevent critical errors in methodology
• Improve clarity, coherence, and scientific rigor
• Save time and avoid unnecessary rejections
• Strengthen your manuscript for Scopus/SCI-indexed journals
We offer Statistical Analysis Services for PhD Writing to ensure your manuscript meets the highest quality for journal submission.
We guarantee that all manuscripts are 100% original and expert-authored—not AI-generated. Content is thoroughly checked using Turnitin, WriteCheck, and AI detection tools, ensuring it passes institutional scrutiny for authenticity and academic integrity.
Our statisticians and analysts are PhD-level experts across fields including:
- Medicine & Clinical Research
- Engineering
- Computer Science & AI
- Life Sciences
- Management & Finance
- Social Sciences & Public Policy
Each project is handled by a subject-matter expert who ensures statistical accuracy and contextual relevance. Our Statistical Analysis Services for PhD Writing ensure the valid and professional presentation of your data.
We tailor your manuscript to match your university’s formatting, structure, and citation standards—be it IITs, IIMs, Oxford, Harvard, Cambridge, NUS, or UGC-recognized institutions.
All sources are selected from peer-reviewed, credible databases such as:
Scopus, PubMed, IEEE Xplore, JSTOR, Springer, Elsevier, ProQuest, and Web of Science.
References are cited using the latest styles (APA, Harvard, Chicago, etc.).
We offer complete support in biostatistics, econometrics, and data analytics using tools like:
- SPSS, STATA, R, MATLAB, NVivo, AMOS
Services include: - Data cleaning and preparation
- Hypothesis testing
- Sample size calculation
- Regression, ANOVA, and advanced modelling
All manuscripts include properly formatted citations and references using tools like Mendeley, Zotero, and EndNote, adhering to the latest academic citation styles.
We offer unlimited revisions to meet university feedback—whether it’s refining statistical sections, adjusting methodology, or aligning results presentation.
We commit to strict timelines, offering:
- Minor revisions within 24 hours
- Major revisions within 48 hours
- Fast responses within 30 minutes during business hours
We maintain word count compliance as per university requirements (8,000 to 80,000+ words), excluding non-content sections like references, tables, and appendices—no filler, just focused academic writing.
We match your thesis (8,000–80,000+) to submission guidelines without padding. Figures, tables, appendices, and blocks of code are clearly shown, academically correct.
•Raw datasets (CSV, SQL, JSON, etc.)
•Source code with README files
•Algorithm flowcharts and architecture diagrams
•Journal references and downloadable PDFs
•PPTs and notes for viva-voce preparation
Our Manuscript statistical analyses by Subject Area
Computer science Manuscript statistical Services
Expert Manuscript Statistical Analysis Service That We Carry Out
Statistical Analysis Planning
- Considering statistical methods relating to study objectives and hypotheses, as well as journal indicators
- Deciding which statistical models to use (examples include linear regression, logistic regression, Cox models, mixed models etc.)
- Developing a statistical analysis plan (SAP) that meets journal and ethical guidelines
Thematic and content-driven qualitative analysis
- Performing qualitative coding (grounded theory, thematic analysis, content analysis, or use of framework analysis)
- Using software programs such as NVivo, ATLAS.ti or MAXQDA to manage and analyze qualitative data
- Recognizing and developing key themes, patterns and narratives that are useful in answering your research questions
Manuscript Development with Statistical Focus
- Including statistical rationale and justification in the Methods sections (e.g., study design, sample size, statistical tests)
- Tactically formulate methods sections to maximize the effectiveness of statistical writing, clarity of reader comprehension, selected academic tone, and facilitate reviewers’ understanding of what is written
- Customizing/formatting statistical content to targeted journals (e.g., Nature, JAMA, BMJ, PLOS One, etc.)
Statistical Reporting Compliance
- Assuring reporting standards (for example, CONSORT, STROBE, PRISMA, or other relevant and applicable reporting standards)
- Double-checking analysis transparency, reproducibility, data integrity
- Ethically documenting statistical methods and assumptions.
Results drafting for the results section of your manuscript
- Turning SPSS, STATA, R, Python or MATLAB statistical output into publication quality statistical results
- Interpreting inferential tests, effect sizes, confidence intervals, p values etc.
- Writing the Results and Discussion chapters from raw stats
- Preparing publication quality tables, figures and visualizations as per journal metrics
Data visualization: tables, charts, and figures
- Turning your statistical or themed findings into recognizable and visually interesting/supported formats for academic or professional publications
- Creating publication-quality tables and graphs in R (ggplot2), Python (Matplotlib/Seaborn), Excel or GraphPad Prism
- Modifying figures to meet any requirements for individual journals, plus readability (colors, labels, layout)
Reviewer Comment Support (Statistics-Focused)
- Rewriting or executing analyses in manuscript due to peer reviewers’ comments
- Writing a response point-by-point to statistical items from reviewers’ comments
- Adding clarity or further depth to statistics based on journal standards
Statistical Quality Check & Validation
- Independent review of statistical analysis as quality control for the manuscript
- Independently run statistical approaches to check reproducibility and accuracy of the analysis
- Validate interpretations, and their consistency with the research objectives and conclusions
Advanced Biostatistical Modeling
- Working with sophisticated models: Survival analysis, multi-level models, meta-analysis, time series, and Bayesian inference
- Dealing with missing data, confounding, multicollinearity, model diagnostics
- Implementer machine learning or predictive analytics methodologies for contemporary health data research
Review of statistical assumptions and research methodology
Formatting of Statistical Content
- Formatting tables (e.g., ANOVA, regression, survival curves, etc.) as outlined in journal template
- Formatting statistical notations, abbreviations, and figures to specific submission guidelines
- Formatting aligning with the statistical components of the APA, AMA, or specific journals.
Data Visualization & Statistical Presentation
- Producing clear and publication ready figures: forest plots, Kaplan-Meier curves, receiver operating curves, correlation matrices
- Producing graphical abstracts or dashboards alongside the statistical reports
- Final feed optimization of visuals for resolution, scale, journal requirements
Whether your study involves clinical trials, social sciences, or engineering data, our statisticians ensure your manuscript is statistically sound and ready for successful journal submission. Our Statistical Analysis Services for PhD Writing provides you confident that your statistical analyses are of the highest academic standard.
Order process
Submit Your Requirements and Make Payment
You complete the order form by filling out your research requirements, and then you complete a secure online payment. This will allow us to initiate your planning and method construction process immediately.
Order Confirmation
&
Expert Allocation
Regular Updates & Two-Way Communication
Editing, Proofreading & Plagiarism Checking
Review
&
Revisions
We cross-check the document with your original requirements. Unlimited free revisions are offered for supervisor feedback or content updates.
Final Delivery
&
Feedback
Manuscript statistics –Service Package
Quantitative and Qualitative Statistical Analysis Packages
Quantitative Statistical Analysis Packages
5–7 business days
Basic
$249/-
7–10 business days
Mostly Popular
Advanced
ANOVA/MANOVA, regressions, correlation, charts, results drafting
$449/-
10–14 business days
Premium
$699/-
Qualitative Statistical Analysis Packages
7–10 business days
Mostly Popular
Advanced
$399/-
10–14 business days
Premium
$649 /-
All Packages Include:
- Consultation with expert statisticians
- Results tailored to journal submission standards (Scopus, SCI, etc.)
- Journal-compliant tables, figures, and interpretations
- One round of revisions and feedback support
Types of Qualitative and Quantitative Statistical Analyses That We Carry Out
At PhD Assistance Research Lab, we offer a comprehensive range of statistical analyses tailored to both qualitative and quantitative research methodologies, ensuring accuracy, relevance, and journal readiness.
We apply advanced techniques to analyze numerical data, test hypotheses, and validate results, commonly used in clinical, experimental, and survey-based studies.
- Descriptive Statistics (Mean, Median, Mode, SD, Variance)
- Inferential Statistics (t-tests, ANOVA, ACOVA, MANOVA, Chi-square tests)
- Regression Analysis (Linear, Logistic, Multiple, Multilevel)
- Correlation Analysis (Pearson, Spearman, Kendall)
- Structural Equation Modeling (SEM)
- Factor Analysis (Exploratory & Confirmatory)
- Time Series & Survival (time-to-event) Analysis
- Non-parametric Tests (Mann-Whitney U, Kruskal-Wallis, Wilcoxon)
- Meta-Analysis and Statistical Modeling
- Bayesian Analyses
We assist with rigorous analysis of non-numerical data to identify patterns, themes, and narratives aligned with your research goals.
- Thematic Analysis
- Content Analysis
- Grounded Theory
- Narrative Analysis
- Framework Analysis
- Phenomenological Analysis
- Coding and Categorization using NVivo, ATLAS.ti, MAXQDA
- Triangulation and Mixed-Methods Integration
Our team ensures all analyses are reported clearly in the results section, supported by appropriate tables, charts, and figures, and aligned with Scopus, SCI, or target journal requirements.
Software’s we use at PhD Assistance Research Lab
SPSS
Key Features: Easy to use GUI, can perform well over 50 statistical tests (ex. t-tests, ANOVA, regression), descriptive statistics, and visualizations, ability to integrate Excel or SQL Database. Best For: Best for descriptive statistics, ANOVA, taking a hypothesis-testing approach, regression in public health, psychology and medical science.
SAS
Key Features: Easy to use GUI, can perform well over 50 statistical tests (ex. t-tests, ANOVA, regression), descriptive statistics, and visualizations, ability to integrate Excel or SQL Database. Best For: Best for descriptive statistics, ANOVA, taking a hypothesis-testing approach, regression in public health, psychology and medical science.
R / RStudio
Key Features: Open-source and can be customized with varying packages (example: survival, ggplot2, lme4), allows for great data visuals and advanced statistical modelling. Best For: Designed for advance, multivariate analyses; great for survival analyses, bioinformatics, and research studies that allow for flexible statistical programming.
Python
Key Features: Scripting language and open-source, libraries
include stats models,
pandas, scikit-learn, and seaborn for prediction modeling
and analysis,
Best For: Best for machine
learning opportunities for biostatistics,
predictive modeling, live data analysis, and algorithm opportunities.
Minitab
Key Features: Tools for statistical quality control, regression, ANOVA, DOE,
run control charts, also capable of Six Sigma analysis.
Best For: Best for evaluation and effect
of public health programs, use for data
relating to manufacturing processes, or improvement studies relating to healthcare.
STATA
Key Features: Data management features, useful for analyzing time-series and panel data, user-written commands, allows for reproducible reports on research.
Best For: Health & economics modelling, longitudinal (stepwise or covariance studies), biostatistical modelling.
GraphPad Prism
Key Features: Nonlinear regression, survival analysis, dose-response curves, graphing for science, easy to enter data.
Best For: Biomedicine, pharmacology, and lab-based investigations using smaller sample sizes that have a reliance on visual interpretations.
Epi Info
Key Features: Allows for planning surveys, epidemiological statistics, mapping (GIS), and templates for formal outbreak investigations. Best For: Field-based studies associated with epidemiology and public health research, particularly in the areas of surveillance and rapid response assessments.
JMP
Key Features: Interactive and visualizations,
data exploration, statistical
modelling, DOE tools with drag and drop.
Best For: Clinical trials, quality in
healthcare evaluation,
and exploratory modelling in biostatistics.
Whom We Serve – Manuscript Statistics Service for your Research
If you are preparing a manuscript from your doctoral dissertation or thesis, we help you with the following:
- Determining the appropriate statistical techniques based on your study design and research questions
- Writing or modifying the methodology and results for the statistical sections of your manuscript to be published
- Interpreting outputs from statistical software such as SPSS, R, STATA SAS, or Python
PhD assistance Research Lab provides support to research supervisors, academic departments, and other publication support centers at universities in order to develop manuscripts to be submitted for institutional journals or conferences. We help in the following ways:
- Statistics and statistical methods in the manuscript adhere to academic integrity and institutional research guidelines
Statistics and results are represented clearly using statistics and are available for peer review
Postdoc researchers, faculty, and lone authors, we offer profound assistance in:
- Selecting appropriate statistical models (e.g., logistic regression, survival analysis, mixed models)
- Revising statistical portions of a manuscript to be accurate and clear
Structuring statistical outputs per journal specifications and statistical reporting standards (e.g., APA, AMA).
Medical professionals developing manuscripts for clinical journals can take advantage of our experience developing and reporting biostatistical analysis in:
- Design and report the biostats for clinical trial manuscripts.
- Develop survival analysis, risk factor models, ROC analysis, and comparative effectiveness studies.
Assuring statistical methods are CONSORT, STROBE, or PRISMA compliant.
We help researchers, scientific consultants, and corporate R&D teams create data-driven manuscripts for either white papers or peer-reviewed journals by:
- Rationalizing statistical analysis for data collected from product testing, usability studies, or population research
- Structuring statistical evidence to present for regulatory or scientific communication
Supporting final formatting and generating figures or tables for submission ready documents.
We help students and researchers in the UK, USA, Europe, Australia, UAE, and Asia by:
- Customizing statistical content in accordance with international journal protocols
- Aligning with discipline-specific styles and area-specific tools (R in EU, SPSS in India, SAS in US)
Providing support with English-language clarity, and manuscript editing for an international audience
Check at what stage you’re into & Analyse how you can fit into our engagement model
Wilson
Service you need: Interpretation of Statistics and Manuscript Reporting Results We assist you in making a clear, interpretable report of your statistical data and results.
Dwayne
Service you need: Statistical Validity and Assumption Testing for Manuscripts We help improve the credibility in your manuscript by conducting assumption testing (e.g., normality, homoscedasticity), reliability tests (e.g., Cronbach’s alpha, ICC), and to check for robustness.
Kevin
Service you need: Statistical Method Justification for Manuscript We Walk you through how to present and justify your statistical method in a way that aligns with your study’s research design and theoretical model.
Jason
Service you need: Statistical Test Identification & Execution for manuscript writing We help you to identify and execute the most appropriate statistical tests based upon your research questions, independent and dependent variables and structure of the data.
Our Guarantee
Plagiarism Free
Unlimited Support
On-time delivery
Subject Matter Expertise
Communicate with your writer
Updated academic resources
Free research articles supply*
Our Sample & Example Works Speaks
Client success stories
Manuscript Statistical Analysis Service
Expert Support in Manuscript Statistical Design
I was unsure what statistical method was best for my manuscript data (linear regression, ANOVA, or another model). The Manuscript Statistical Analysis Service from PhD Assistance Research Lab helped me in selecting the best method for my sample data and developing a sound analysis plan. The inclusivity of prior knowledge with regards to the assumptions we were working with, and the relevance of the variables generated a statistically stronger and more valid manuscript."
— Sophie Laurent, France, PhD Scholar
Timely Statistical Output for Journal Submission
"I was under tight deadlines prior to submission to my journal and required in full a multivariate analysis. The team from PhD Assistance Research Lab provided great review of the SPSS outputs and provided me well-organized Table of Outputs and nicely organized and polished output graphs. The submission went great, as they met my deadline and really saved my submission!"
— Jonas Weber, Doctoral Candidate, Germany
High-Quality Analysis with Clear Manuscript Interpretation
"I used their premium manuscript statistics package. The descriptive and inferential analysis were all excellent, and they even added contextual interpretation by referring to findings in peer-reviewed literature. The simple way they discussed odds ratios and confidence intervals, made it very easy to relate findings back to my discussion section."
— Isabella Rossi, Medical Researcher, Italy
Publication-Ready Statistical Deliverables
"All statistics tables had been formatted to the target journal's style guide, and the results were succinct with appropriate annotation and formatting for ease of incorporation in my manuscript. and all outputs (e.g., regression diagnostics, correlations matrices, etc.) were publication-ready, and professional, and felt seamless."
— Erik Lindholm, Data Analyst, Sweden
Rigorous Statistical Review for Manuscript Validity
"I was doubtful of the rigor of my model for review. The manuscript statistics team did a rigorous (and detailed) review of my SPSS outputs regarding assumptions, checking for multicollinearity, inspection of residuals, etc. Overall, the team validated that my analysis was rigorous and thus, valid science; and provided me with confidence in my overall validity of my analysis."
— Marta Novak, PhD Scholar, Epidemiology, Poland
Affordable Pricing"
“I fully admire PhD assistance's reputation and quality. I especially chose PhD assistance's packages as no other company offers such a service. Their service quality and timely delivery is very helpful in meeting journal deadlines. I am glad that PhD assistance offers packages at affordable price.”
-Kate Merkel-Hess
Supportive brainstorming and topic discovery
"Picking a topic for my PhD felt like looking for a needle in a haystack. I was lost until I found the topic selection guidance service at PhD Assistance. They were like personal academic cheerleaders—helping me discover what I truly cared about and could research meaningfully. It was like a brainstorming session with friends who knew their stuff. Now I’m excited to dive into my research and make a difference!"
PhD topic clarity and direction
"Choosing a PhD topic was a total headache until I stumbled upon the PhD Thesis Dissertation Topics Help UK at PhD Assistance. Let me tell you—these guys are wizards when it comes to turning confusion into clarity. They didn’t just throw random ideas at me; they took the time to understand what I was passionate about and what I wanted to achieve. It felt like having a coffee chat with a smart friend who knows all about PhDs. Thanks to their help, I finally feel like I’m on the right track and ready to tackle anything that comes my way!"
Stress-free topic selection in Computer Science
"I was very confused about selecting a research topic for my PhD in computer science. It was stressful and overwhelming. A friend recommended PhD Assistance—and it was the best decision. The expert helped me choose a topic that my guide accepted without any changes. Thank you, PhD Assistance!"
Confidence-building experience
"I recommend PhD Assistance to anyone needing help with research topic selection. I was hesitant at first, but after meeting the team, I gained confidence in articulating my ideas clearly. The title they provided matched exactly what I had in mind—it felt like they had read my thoughts. Thank you!"
Structured support for academic success
"I was feeling overwhelmed and lost when it came to choosing a PhD topic that would truly excite me and contribute to the field. Thankfully, the topic selection service at PhD Assistance gave me invaluable support. They took the time to understand my interests, strengths, and goals and curated a list of focused research areas. I found a topic that reignited my passion. Thank you, team!"
John, France
Flexible and student-friendly service
"PhD Assistance offered me great flexibility in choosing courses and research areas. The specialists helped me identify a unique and meaningful topic. It gave me a strong foundation to move confidently into the next stage of my research."
Liam
Supportive brainstorming and topic discovery
"Picking a topic for my PhD felt like looking for a needle in a haystack. I was lost until I found the topic selection guidance service at PhD Assistance. They were like personal academic cheerleaders—helping me discover what I truly cared about and could research meaningfully. It was like a brainstorming session with friends who knew their stuff. Now I’m excited to dive into my research and make a difference!"
Supportive brainstorming and topic discovery
"Picking a topic for my PhD felt like looking for a needle in a haystack. I was lost until I found the topic selection guidance service at PhD Assistance. They were like personal academic cheerleaders—helping me discover what I truly cared about and could research meaningfully. It was like a brainstorming session with friends who knew their stuff. Now I’m excited to dive into my research and make a difference!"
Quality & Compliances
Frequently Asked Questions.
Absolutely! Whether via email, Skype, WhatsApp, or meeting times scheduled, we can connect you in real time with the assigned expert. Our project coordinator will include this in project start-up along with your expert appointee as requested, when the project is initiated.
We provide full support, with no statistical problems too minor or complex, because our aim is statistical rigor and clear reporting across all phases associated with journal manuscripts. The collection of features include:
- Preliminary analysis: data cleaning, data transformations (e.g., making normality corrections, creating ratios), outlier processing
- Primary analysis: choice of variables, purpose of the analysis, summarizing results, smallest significant differences
- Supplementary analysis: sensitivity testing, imputing missing data, testing assumptions and subgroup/post-hoc analysis
The results are formatted and display in journal-ready formats including clear tables and figures.
At PhD Assistance Research Lab, we provide following services to the UK/US students
• Full assistance in implementation
• Execution
• Writing of the thesis
• Integrating big data with conventional research methodology
• Data collection, analysis, and interpretation
• Project compilation and presentation
• Relevant findings
• Discussion and conclusion
• Formatting
• Referencing
• Appendices
• Research paradigm
• Conceptual framework
Yes. We offer a fair and transparent cost structure when considering PhD-level support. We also run seasonal discounts and offer referral benefits. Contact our project coordinators for a personalized quote.
No, we offer unlimited revisions at no extra charge until you are entirely satisfied! We also accommodate changes based on your university or journal comments. For our revision policies, see our Terms & Conditions or speak to a project coordinator.
Yes. If your manuscript received reviewer comments on statistical analysis, we can revise, reanalyse and reformat your statistical sections to use any comments professionally.
Insights
