International Journal of

Clinical Biostatistics and BiometricsISSN: 2469-5831

Archive

 Open Access DOI:10.23937/2469-5831/1510052

Statistical Analysis in Clinical Trials Using the Study Data Tabulation Model (SDTM) and the Analysis Dataset Model (ADaM): Effects, Obstacles, and Solutions

Sagar Kumar Patel, Srinivasa Reddy Mukkala, Rachna Patel and Sandeep Bolla

Article Type: Review Article | First Published: 2023/09/25

Proper statistical analysis is the most important thing in clinical trials if a person wants to come to accurate conclusions and make smart decisions about the safety and effectiveness of new medical interventions. The utilization of the Study Data Tabulation Model (SDTM) and the Analysis Dataset Model (ADaM) is imperative in facilitating this process. The Study Data Tabulation Model (SDTM) is a universally accepted and standardized framework utilized to structure and display data obtained from ...

 Open Access DOI:10.23937/2469-5831/1510051

Biostatistical Methodologies in Clinical Trials: An Overview of Recent Developments and Pitfalls

Sagar Kumar Patel, Rachna Patel and Sandeep Bolla

Article Type: Review Article | First Published: August 16, 2023

Biostatistical analysis has emerged as one of the most crucial applications for clinical trial systems. The relevance of statistical analysis in clinical trials cannot be overstated in the advancement of novel pharmaceuticals and therapeutics. Data volumes, including effectiveness and safety summaries, are produced throughout the process of developing and approving novel medicines....

 Open Access DOI:10.23937/2469-5831/1510050

Fitting Birth and Death Queuing Models using Maximum Likelihood Estimation with Application to COVID-19 Pandemic in Sub-Saharan Africa

Nkemnole EB and Kuti OO

Article Type: Research Article | First Published: March 03, 2023

The COVID-19 pandemic has revealed facts about deficiencies in health resource planning of some countries having relatively high case count and death toll. The virus has undergone an observed increase of cases that led to a global pandemic. Many authors have developed different models for predicting or observing the current trend of COVID-19 pandemic. In this study, fitting birth and death models using maximum likelihood estimation (MLE) method with application to COVID-19 in sub-Sahara Africa i...

Volume 9
Issue 1