End-to-End Clinical Research, Clinical Data Analytics, Biostatistics & Publication Support

Orthopaedic (Knee & Hip Arthroplasty) Research

We provide comprehensive research support for orthopedic surgeons, hospitals, and research teams conducting knee and hip arthroplasty studies, from study design to final publication.

1. Study Design & Research Planning

Support in designing scientifically strong orthopedic research studies.

• Research question formulation

• Study design selection

  • Prospective cohort

  • Retrospective study

  • Comparative study

  • Randomized controlled trial (RCT) guidance

• Defining primary and secondary outcomes

• Inclusion and exclusion criteria development

• Sample size estimation and power analysis

• Registry-based arthroplasty study design

2. Clinical Data Structuring & Management

Preparation of clean, research-ready clinical datasets.

• Arthroplasty dataset structuring

• Data cleaning and validation

• Missing data identification and handling

• Coding and variable derivation

• Preparing analysis-ready datasets

3. Statistical Analysis Plan (SAP)

Development of detailed statistical analysis strategies.

• Defining statistical methods for each endpoint

• Selection of appropriate tests (parametric / non-parametric)

• Confounding control strategies

• Subgroup analysis planning

• Propensity score matching design

4. Advanced Biostatistical Analysis.

• Descriptive statistics

• Comparative analysis between implants or surgical techniques

• Regression analysis (linear / logistic / Cox models)

• Survival analysis (implant survival, revision rates)

• Propensity score matching analysis

• Multivariate outcome analysis

5. Arthroplasty Outcomes Research

Specialized analysis for joint replacement studies.

• Functional outcome score analysis (e.g., KOOS, OKS, HHS)

• Complication and revision rate analysis

• Comparative implant studies

• Risk factor identification for surgical outcomes

6. Tables, Figures & Results Reporting

Preparation of publication-ready statistical outputs.

• Statistical tables for manuscripts

• Graphs and visualizations

• Kaplan–Meier survival curves

• Forest plots and comparative charts

• Journal-ready results summaries

7. Manuscript Development & Scientific Writing Support

Assistance in preparing manuscripts for peer-reviewed journals.

• Structuring manuscript sections

• Methods section statistical description

• Results section drafting

• Table and figure integration

• Abstract preparation

8. Journal Submission & Publication Support

Guidance through the publication process.

• Journal selection strategy

• Formatting according to journal guidelines

• Reference formatting

• Submission support

• Reviewer comment response support

• Manuscript revision assistance

9. Research Quality & Reporting Standards

Ensuring studies meet international research standards.

• STROBE guideline compliance (observational studies)

• CONSORT guidance (for randomized trials)

• Ethical reporting standards

• Data transparency and reproducibility

·  Data cleaning and manipulation to remove unwanted characters, duplicates, missing values and outliers.

· Descriptive and inferential statistical analysis, including sample size determination, power analysis, central tendency, quartiles, variances, standard deviations, coefficients of variation, ranges, minimums, maximums, skewness, and testing for data normalization and hypothesis tests.

·  Utilization of statistical methods such as T-test, Chi-square, ANOVA, Correlation (Pearson and ICC), Regression, and Propensity Matching analysis.

· Generation of tables, listings, graphs, and comprehensive reports.