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  1. Dr Ram Bajpai. Title. Lecturer in Epidemiology/Applied Statistics. Location. DJW 0.109. Contact me. Via email. Phone. +44 (0) 1782 734883. Email. r.bajpai@keele.ac.uk. Biography Research and scholarship Teaching Further information Publications.

  2. Ram BAJPAI | Lecturer in Biostatistics | PhD (Medical Statistics) | Keele University, Newcastle under Lyme | School of Medicine | Research profile. About. 210. Publications. 124,098. Reads....

  3. View Ram Bajpais profile on LinkedIn, the world’s largest professional community. Ram has 5 jobs listed on their profile. See the complete profile on LinkedIn and discover Rams...

    • 500+
    • Keele University
    • University of Lucknow
    • Keele, England, United Kingdom
  4. 2017. Prevalence and incidence of chronic wounds and related complications: a protocol for a systematic review. K Järbrink, G Ni, H Sönnergren, A Schmidtchen, C Pang, R Bajpai, J Car. Systematic reviews 5 (152) , 2016. 368. 2016. Prevalence of chronic wounds in the general population: Systematic review and meta-analysis of observational studies.

  5. Nov 24, 2023 · PMCID: PMC10796632. PMID: 37999798. Musculoskeletal disorders and pain in agricultural workers in Low- and Middle-Income Countries: a systematic review and meta-analysis. Mrithula Shivakumar, # Victoria Welsh, # Ram Bajpai, Toby Helliwell, Christian Mallen, Michelle Robinson, and Thomas Shepherd.

    • 10.1007/s00296-023-05500-5
    • 2024
    • Rheumatol Int. 2024; 44(2): 235-247.
  6. Venous thromboembolism is linked to severity of disease in COVID‐19 patients: A systematic literature review and exploratory meta‐analysis. International Journal of Clinical Practice. 2021-09-28 | Journal article. DOI: 10.1111/ijcp.14910. Part of ISSN: 1368-5031. Part of ISSN: 1742-1241. Show more detail. Source : Ram Bajpai.

  7. Ram Bajpai. Keele University, Medicine, Faculty Member. Follow. Research Interests: Meta-Analysis (Statistics), Meta-Analysis and Systematic Review, Epidemiology and biostatistics, Biosemiotics, Statistical Modeling and Machine Learning Algorithms for Data Mining, Inference, Prediction and Classification Problems, and Regression Analysis. Papers.