Data Management and Analysis in Clinical Trials

Chetana Menda; Manoj Kumar; S. Reddemma

Title:
Data Management and Analysis in Clinical Trials

Authors:
S. Reddemma | Chetana Menda | Manoj Kumar

Cite This Article :

S. Reddemma | Chetana Menda | Manoj Kumar "Data Management and Analysis in Clinical Trials" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-4, August 2023, pp.270-288, URL: https://www.ijtsrd.com/papers/ijtsrd59667.pdf

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Abstract :
Data management and analysis play a critical role in the successful conduct of clinical trials. Proper collection, validation, and handling of data are essential for ensuring the reliability and integrity of study findings. Data management involves the design and implementation of data capture tools, such as electronic case report forms (eCRFs), to efficiently collect and store clinical data. Additionally, data analysis is a crucial step that involves applying statistical methods to extract meaningful insights from the collected data. This paper provides an overview of the key components of data management and analysis in clinical trials, highlighting the importance of adherence to data standards, ensuring data quality, and maintaining data security. Effective data management and analysis not only lead to robust study outcomes but also contribute to the overall advancement of medical knowledge and patient care.

Keywords :
Data Management, Data Analysis, Clinical Trials, Electronic Case Report Forms (eCRFs), Data Collection, Data Validation

Publication Details:

Unique Identification Number : IJTSRD59667

Published In : Volume-7 | Issue-4, August 2023

Page Number(s) : 270-288

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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