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Profile

Name: Dr. Peter Kinyua Gachoki

Qualifications

  • PhD in Applied Statistics, Chuka University, 2019-2022
  • Masters of Science in Applied Statistics, Chuka University, 2016-2018
  • Bachelor of Science in Statistics, University of Nairobi, 2011-2016

Research Interests

 

Professional Qualifications

 

External Links/Affiliations

 

Publications

  1. Karoki, G. N., Galgalo, T., Balindawa, J., Gitonga, L. K., & Gachoki, P. K. (2023). Prevalence and Factors Associated with Occupational HIV Exposure and Post Exposure Prophylaxis among Health Workers: A Case Study of Kiambu County, Kenya, 2017. American Journal of Public Health, 11(6), 189-196.
  2. Peter Gachoki, Moses Muraya, and Gladys Njoroge, “Modelling Plant Growth Based on Gompertz, Logistic Curve, Extreme Gradient Boosting and Light Gradient Boosting Models Using High Dimensional Image Derived Maize (Zea mays ) Phenomic Data.” American Journal of AppliedMathematicsand Statistics, vol. 10, no. 2 (2022): 52-64. doi: 10.12691/ajams-10-2-3.
  3. Gachoki, P., Muraya, M., & Njoroge, G. (2022). Features Selection in Statistical Classification of High Dimensional Image Derived Maize (Zea Mays L.) Phenomic Data. American Journal of Applied Mathematics and Statistics, 10(2), 44-51.
  4. Peter Gachoki, Lucas Macharia1 and Kinyanjui Jeremiah Ndung’u (2022). Application of the Randomized Complete Block Design to Investigate the Effect of Soil pH and the Amount of Calcium in the Soil on the Rate of Growth of Tree Seedlings. International Journal of Progressive Sciences and Technologies, Vol. 32 No. 1 April 2022, pp. 411-418. https://ijpsat.org /index.php/ijpsat/article/view/4276
  5. Peter Gachoki, Lucas Macharia, Kinyanjui Jeremiah Ndung’u and Moreen Nderitu “Survival Analysis for Hypertension among Adults Aged 18 Years and Above: A Case Study of Kerugoya Level 4 Hospital from 2018 to 2021” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-6, pp.09-14 June 2022  URL: https://www.rsisinternational.org /journals/ijrias/DigitalLibrary/volume-7-issue-6/09-14.pdf
  6. Peter Gachoki, Lucas Macharia1 and Kinyanjui Jeremiah Ndung’u (2022). Modelling Credit Defaults Using Support Vector Machine and Binary Logistic Models. International Journal of Progressive Sciences and Technologies, Vol. 32 No. 2 May 2022, pp. 69-78. https://ijpsat.org/php/ijpsat/article/view/4277
  7. Wambua, A., Kariuki, R., Gachoki, P., Okello, V., & Opiata, P. (2020). Effect of Cooking Methods and Duration on Ascorbic Acid Concentration of Selected Vegetables. DOI: 10.26479/2020.0606.06
  8. Gachoki, P., Mburu, M., & Muraya, M. (2019). Predictive Modelling of Benign and Malignant Tumors Using Binary Logistic, Support Vector Machine and Extreme Gradient Boosting Models. American Journal of Applied Mathematics and Statistics, 7(6), 196-204.
  9. Gachoki, P. K., & Muraya, M. M. (2019). Comparison of Models Used to Predict Flight Delays at Jomo Kenyatta International Airport. Asian Journal of Probability and Statistics, 1-8. DOI:48451
  10. Munyiri LM, Gachoki PK, Gitonga JN (2019). Analysis of Tobacco Smoking Patterns in Relation to Age and Employment Status: A Case Study of Kirinyaga Central Constituency. International Research Journal of Advanced Engineering and Science, Volume 4, Issue 2, pp.474-477. DOI: 10.5281/zenodo.3250819
  11. Gachoki PK, Munyiri LM and Moses Mburu (2019). Application of Predictive Modelling to Determine Factors Influencing Flight Delays at Jomo Kenyatta International Airport, Kenya. International Journal of Research and Innovation in Applied Science (IJRIAS), Volume IV, Issue VI, pp. 44-49
  12. Munyiri LM, Gachoki PK and Mueni PW (2019). An Experimental Analysis on the Effect of Fertilizer Inputs on Climbing Bean Production in Mbeere North Subcounty. Global Scientific Journals. GSJ: Volume 7, Issue 6. pp. 828-833. EOI: 10.11216/gsj.2019.06.23288