TimelyScholarOne of the most important services we offer — priced around scope, not a single flat number.
Where quantitative pooling is appropriate:
Pricing: Custom quotation based on review complexity
Quantitative synthesis of evidence across studies using appropriate statistical methods, effect measures, models, and sensitivity analyses.
Continuous outcomes
Dichotomous outcomes
Time-to-event outcomes
Other effect measures where appropriate
Where appropriate:
Comprehensive statistical analysis for research, clinical, healthcare, academic, survey, and organizational datasets.
Parametric tests
Non-parametric tests
Categorical analysis
Linear regression
Logistic regression
Other regression models
Where appropriate:
Where appropriate:
For appropriately designed studies:
Statistical Software: R • SPSS • Stata • Python • Excel
Every research project is different. Here is what actually drives the scope — and the quote — behind each one.
The two biggest drivers for evidence-synthesis projects are how much literature must be searched and how much evidence must be processed. Searching two databases is a different project from searching six. Screening 500 records is different from screening 14,000. We estimate the likely workload from your research question, eligibility criteria, databases, and the literature density of your field before preparing the quote.
Example. A focused clinical question searched across PubMed and Cochrane may produce 800 records and 22 eligible studies. A broader public-health question searched across six databases, trial registries, and grey literature may produce 14,000 records and 80 included studies.
Not all analyses require the same level of statistical work. A standard pairwise meta-analysis with 12 effect sizes is substantially different from a network meta-analysis, individual participant data synthesis, dose-response analysis, Bayesian model, or prognostic-factor meta-analysis. We scope the project according to the methods required, rather than applying a generic hourly calculation.
Example. A standard random-effects meta-analysis with predefined subgroup and sensitivity analyses has a different scope from a network meta-analysis involving 12 treatment comparisons, network consistency assessment, and treatment-ranking analyses.
The assessment tool, number of studies, study designs, and review process all affect the workload. A review of randomized trials using RoB 2 has different requirements from an observational review using ROBINS-I. Diagnostic accuracy reviews may require QUADAS-2, while umbrella reviews may require tools such as AMSTAR 2.
Where appropriate, additional work may include independent assessments, reviewer calibration, disagreement resolution, domain-level judgments, and presentation of risk-of-bias results.
Example. A systematic review containing 18 randomized controlled trials may require RoB 2 assessment across the included studies. An umbrella review containing 35 systematic reviews may require AMSTAR 2 assessment across each review, with substantially more appraisal and verification work.
The amount and type of synthesis required can significantly change the project scope. A structured narrative synthesis is different from quantitative pooling. Meta-analysis may require effect-size calculation, heterogeneity assessment, subgroup analysis, sensitivity analysis, meta-regression, or reporting-bias assessment.
Example. A review where studies report sufficiently comparable outcomes for one pooled analysis has a different scope from a review requiring multiple outcome-specific meta-analyses, several subgroup analyses, and sensitivity analyses based on risk of bias.
The condition of your data can materially affect the amount of work required. Clean, analysis-ready data is different from a dataset requiring extensive restructuring, variable recoding, missing-data assessment, duplicate checking, or conversion of reported statistics.
For meta-analysis, the same principle applies to study-level reporting. Missing standard deviations, inconsistent outcome definitions, multiple time points, overlapping populations, and incomplete effect estimates can require additional methodological work.
Example. A dataset with clearly labelled variables and complete outcome measures can move directly into analysis. A dataset containing inconsistent coding, substantial missingness, duplicate records, and multiple versions of the same variables requires additional preparation before statistical analysis can begin.
The amount of work required also depends on what you already have.
A client with a completed protocol, final search results, screened studies, and a clean extraction dataset requires a different scope from a client starting with only a research question.
Example. “I have extracted data from 25 studies and need the meta-analysis” is a substantially different project from “I have a research question and need the complete systematic review from protocol through reporting.”
The final deliverables affect project scope as well. These may include:
Example. A statistical analysis requiring a cleaned dataset and results tables has a different scope from one requiring a cleaned dataset, reproducible R code, publication-quality figures, formatted tables, and manuscript-ready statistical reporting.
Your intended journal, institution, funder, or reporting framework can affect the level of documentation and analysis required. Requirements may include PRISMA 2020 reporting, PRISMA-S search documentation, GRADE certainty assessment, Summary of Findings tables, supplementary materials, reproducible analysis files, or journal-specific formatting.
We scope these requirements based on the actual target journal and study type, rather than assuming that journal prestige alone determines the workload.
Example. A systematic review intended for a journal requiring detailed PRISMA 2020 reporting, GRADE Summary of Findings tables, extensive supplementary materials, and reproducible statistical documentation requires a different reporting scope from a project with a simpler reporting specification.
The methodology does not change simply because a project is urgent, but scheduling does. Rush projects require priority allocation of research and statistical capacity, while standard projects can follow the normal production schedule.
We therefore price accelerated delivery separately where it requires priority scheduling. We do not reduce methodological standards to meet a shorter deadline.
Example. A manuscript needed for a submission deadline in 10 days requires priority scheduling. A thesis analysis due in eight weeks can normally follow the standard production schedule.
We provide methodological, analytical, and research-support services within appropriate academic and professional standards. Where our contribution meets the criteria for acknowledgement, contributorship, or other disclosure under the relevant journal, institutional, or professional requirements, we support accurate disclosure.
The appropriate form of attribution depends on what work was performed and the policies governing your project. We do not misrepresent authorship, contributions, or the origin of research work.
Example. A project involving statistical consultation may appropriately acknowledge the statistical contribution. A substantial methodological contribution to study design or analysis may require a different form of contributor recognition, depending on the applicable authorship and journal criteria.
No discovery call. No sales follow-ups. Just a clear, itemized quote you can review and consider at your own pace.
Submit your details through our form, WhatsApp, or email. It takes about five minutes. Share your research question, target journal (if you have one), and approximate timeline.
We assess your project scope and brief a methodologist, usually within a few business hours. If anything needs clarification, we’ll send a few focused questions before preparing your quote.
You’ll get a written breakdown of the project scope, deliverables, timeline, assigned project lead, pricing, and any exclusions. Review everything when it suits you—there’s no call or commitment required.
When you’re ready, approve the quote and pay securely through a card payment link. Any work outside the agreed scope will be discussed and quoted separately before proceeding.
Once payment clears, work is scheduled to begin the next business day. You’ll receive progress updates at key milestones and have a dedicated project manager you can contact directly.
Our quotes are designed to be transparent from the beginning. You will know what is included, what is outside scope, and what would require an additional fee before work begins.
Every project includes the core professional support and documentation required to complete the agreed scope.
Some costs or requests fall outside the standard project scope. If they become relevant, we will identify them before the additional work is performed.
Yes. Once we understand the scope, we can provide a fixed project quotation for most projects.
Yes. Clients can request individual components such as search strategy development, screening, data extraction, risk-of-bias assessment or statistical synthesis.
Yes.
Excel, SPSS, R and Stata, depending on the analysis.
Yes, where appropriate for systematic-review/meta-analysis workflows.
Yes.
Yes. Depending on the project, this can include coding, thematic analysis, content analysis and qualitative evidence synthesis.
Priority/urgent projects may be available depending on current capacity and project complexity.
Yes, according to the agreed scope.
Submit your project details through the quote form, and we'll review the requirements and provide an estimate.
Tell us what you're trying to accomplish, and we'll recommend the appropriate service, scope and deliverables before you commit.