GET THE APP

The innovative scientific clinical data management “booster” for the clinical research | SciTechnol

Journal of Vaccines & Clinical Trials.

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Special Issue Article, Jvct Vol: 4 Issue: 3

The innovative scientific clinical data management “booster” for the clinical research

Abstract
The aim of this paper is to present a realistic and innovative solution for having high quality data management which certainly increase the reliability of the clinical research and therefore the fame of the companies (CRO). Our findings indicate that the appropriate research methodology for every clinical study in combination with innovative scientific clinical data management can create absolutely reliable data, zero errors, zero biased data, and high quality conclusions. Specifically, our research was based on 78 different clinical studies’ data, we realized specific research methodology for every study, according to the scientific criteria and to research ethics. We used an innovative statistical method for data analysis combining ANOVA, Chi-Square Test and Econometric Analysis (binary regression analysis model), in order to obtain high quality results, according to the validity and reliability criteria. Our groundbreaking research offers high quality and innovative clinical data management in scientific level, eliminating the biggest obstacle which is the biased results and the errors.

Description: C:\Users\Dell\Desktop\Valued Abstracts\cardiff ioannis.png

Biography:

Prof. Ioannis Makedos has completed his PhD at University of Thessaloniki. He is in Advisory Board of Camridge Scholars Publishing and Head of Researche Department in Cardiff University. Apart his academic career, he is working into real business field, as Senior Clinical Data Manager in a CRO. Additionally, has published more than 15 papers in high

reputed journals and has been serving as an editorial board member and editor in high ranking scientific journals. Recently, he was awarded for his contribution in the  field of the research methodology and on August 2018 his research awarded as the

 

 

 

 

 

best one during an international conference.
 

Speaker Publications:

 

  1. “Tax Morale and Compliance in Greece: An Approach for the Construction of a Questionnaire Survey”;  The First Decade of Living with the Global Crisis / 2016 / 10.1007/978-3-319-24267-5_8 (pp.103-112)
  2. “How the Shadow Economy Affects Enterprises of Finance of Energy”;  Energy Systems and Management / 2019 / 10.1007/978-3-319-16024-5_29
  3. “The Absorption of a Shadow Economy in the Greek GDP”; Procedia Economics and Finance / 2014 / 10.1016/S2212-5671(14)00006-9

 

10th International Conference on Clinical Research and Clinical Trials; Amsterdam, Netherlands- March 18-19, 2020.

Abstract Citation:

The innovative scientific clinical data management “booster” for the clinical research, Euro Clinical Trials 2020, 10th International Conference on Clinical Research and Clinical Trials; Amsterdam, Netherlands- March 18-19, 2020 (https://clinicaltrials.pharmaceuticalconferences.com/abstract/2020/the-innovative-scientific-clinical-data-management-booster-for-the-clinical-research)

 

 

Abstract

Abstract
The aim of this paper is to present a realistic and innovative solution for having high quality data management which certainly increase the reliability of the clinical research and therefore the fame of the companies (CRO). Our findings indicate that the appropriate research methodology for every clinical study in combination with innovative scientific clinical data management can create absolutely reliable data, zero errors, zero biased data, and high quality conclusions. Specifically, our research was based on 78 different clinical studies’ data, we realized specific research methodology for every study, according to the scientific criteria and to research ethics. We used an innovative statistical method for data analysis combining ANOVA, Chi-Square Test and Econometric Analysis (binary regression analysis model), in order to obtain high quality results, according to the validity and reliability criteria. Our groundbreaking research offers high quality and innovative clinical data management in scientific level, eliminating the biggest obstacle which is the biased results and the errors.

Description: C:\Users\Dell\Desktop\Valued Abstracts\cardiff ioannis.png

Biography:

Prof. Ioannis Makedos has completed his PhD at University of Thessaloniki. He is in Advisory Board of Camridge Scholars Publishing and Head of Researche Department in Cardiff University. Apart his academic career, he is working into real business field, as Senior Clinical Data Manager in a CRO. Additionally, has published more than 15 papers in high

reputed journals and has been serving as an editorial board member and editor in high ranking scientific journals. Recently, he was awarded for his contribution in the  field of the research methodology and on August 2018 his research awarded as the

 

 

 

 

 

best one during an international conference.
 

Speaker Publications:

 

  1. “Tax Morale and Compliance in Greece: An Approach for the Construction of a Questionnaire Survey”;  The First Decade of Living with the Global Crisis / 2016 / 10.1007/978-3-319-24267-5_8 (pp.103-112)
  2. “How the Shadow Economy Affects Enterprises of Finance of Energy”;  Energy Systems and Management / 2019 / 10.1007/978-3-319-16024-5_29
  3. “The Absorption of a Shadow Economy in the Greek GDP”; Procedia Economics and Finance / 2014 / 10.1016/S2212-5671(14)00006-9

 

10th International Conference on Clinical Research and Clinical Trials; Amsterdam, Netherlands- March 18-19, 2020.

Abstract Citation:

The innovative scientific clinical data management “booster” for the clinical research, Euro Clinical Trials 2020, 10th International Conference on Clinical Research and Clinical Trials; Amsterdam, Netherlands- March 18-19, 2020 (https://clinicaltrials.pharmaceuticalconferences.com/abstract/2020/the-innovative-scientific-clinical-data-management-booster-for-the-clinical-research)

 

 

Keywords:

Track Your Manuscript