scholarly journals A Bayesian approach to the analysis of clinical trial data using logistic regression: example from a randomized placebo-controlled crossover trial of propranolol for migraine prevention

2013 ◽  
pp. 39 ◽  
Author(s):  
Christopher Dardis ◽  
Yogesh Moradiya ◽  
Arnold Eggers
Keyword(s):  
Clinical Trial ◽  
Logistic Regression ◽  
Bayesian Approach ◽  
Crossover Trial ◽  
Clinical Trial Data ◽  
Trial Data ◽  
Migraine Prevention

scholarly journals Covariate Adjustment for Logistic Regression Analysis of Binary Clinical Trial Data

2017 ◽  
Vol 9 (1) ◽  
pp. 126-134 ◽  
Author(s):  
Honghua Jiang ◽  
Pandurang M. Kulkarni ◽  
Craig H. Mallinckrodt ◽  
Linda Shurzinske ◽  
Geert Molenberghs ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Clinical Trial Data ◽  
Trial Data ◽  
Covariate Adjustment

scholarly journals Covariate Imbalance and Adjustment for Logistic Regression Analysis of Clinical Trial Data

2013 ◽  
Vol 23 (6) ◽  
pp. 1383-1402 ◽  
Author(s):  
Jody D. Ciolino ◽  
Renée H. Martin ◽  
Wenle Zhao ◽  
Edward C. Jauch ◽  
Michael D. Hill ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Clinical Trial Data ◽  
Trial Data

scholarly journals Parametric Modelling of Migraine Day Frequency In Migraine Prevention: A Case Study Of Erenumab Clinical Trial Data

2017 ◽  
Vol 20 (9) ◽  
pp. A733
Author(s):  
JK Porter ◽  
GL Di Tanna ◽  
G Villa ◽  
A Brennan ◽  
S Palmer ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Clinical Trial Data ◽  
Trial Data ◽  
Parametric Modelling ◽  
Migraine Prevention

Clinical Trial Data Management Software: A Review of the Technical Features

2019 ◽  
Vol 14 (3) ◽  
pp. 160-172 ◽  
Author(s):  
Aynaz Nourani ◽  
Haleh Ayatollahi ◽  
Masoud Solaymani Dodaran
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Data Management ◽  
Clinical Data ◽  
Clinical Trial Data ◽  
Trial Data ◽  
Data Management System ◽  
Management Systems ◽  
Data Management Systems ◽  
Technical Features

Background:Data management is an important, complex and multidimensional process in clinical trials. The execution of this process is very difficult and expensive without the use of information technology. A clinical data management system is software that is vastly used for managing the data generated in clinical trials. The objective of this study was to review the technical features of clinical trial data management systems.Methods:Related articles were identified by searching databases, such as Web of Science, Scopus, Science Direct, ProQuest, Ovid and PubMed. All of the research papers related to clinical data management systems which were published between 2007 and 2017 (n=19) were included in the study.Results:Most of the clinical data management systems were web-based systems developed based on the needs of a specific clinical trial in the shortest possible time. The SQL Server and MySQL databases were used in the development of the systems. These systems did not fully support the process of clinical data management. In addition, most of the systems lacked flexibility and extensibility for system development.Conclusion:It seems that most of the systems used in the research centers were weak in terms of supporting the process of data management and managing clinical trial's workflow. Therefore, more attention should be paid to design a more complete, usable, and high quality data management system for clinical trials. More studies are suggested to identify the features of the successful systems used in clinical trials.

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