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A Statistical Study of Platelet Size Decomposition and Related Growth Model

In: Advances in Growth Curve and Structural Equation Modeling

Author

Listed:
  • Ratan Dasgupta

    (Indian Statistical Institute, Theoretical Statistics and Mathematics Unit)

  • Koushik Biswas

    (Medical College Hospital, Regional Institute of Ophthalmology)

  • Debabrata Dash

    (Banaras Hindu University, Department of Biochemistry, Institute of Medical Sciences)

Abstract

We study the time-dependent distribution of blood platelet size, and its process of evolution with time, when treated with a mobile ion-carrier chemical A23187 that can penetrate into the cells causing size breakdown. The study helps to understand the role of A23187 as a carrier of drugs into cells, and to investigate signaling pathway in platelets that is of relevance in diagnosing diseases like brain stroke, diabetes, etc. It appears that the size distribution of platelets stabilizes after a time period of 3 h and more. Growth pattern of peak and ebb of the time-dependent platelet size distributions is studied to examine the stability of the process in the long run. A proportionate growth model of size breakdown is proposed.

Suggested Citation

  • Ratan Dasgupta & Koushik Biswas & Debabrata Dash, 2018. "A Statistical Study of Platelet Size Decomposition and Related Growth Model," Springer Books, in: Ratan Dasgupta (ed.), Advances in Growth Curve and Structural Equation Modeling, pages 175-193, Springer.
    • Handle: RePEc:spr:sprchp:978-981-13-0980-9_11
    DOI: 10.1007/978-981-13-0980-9_11
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