The Assumption of Proportional Odds in Clinical Trials
Learn about the proportional odds assumption in clinical trials, its importance in ordinal regression, and key considerations for statistical analysis.
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The Ultimate Guide to Electronic Data Capture for Clinical Trials
Discover how EDC systems enhance clinical trials with efficient data collection, real-time validation, robust security, and streamlined workflows.
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Key Considerations in Implementing FSP Models
Explore key factors for implementing FSP models to boost efficiency, ensure compliance, and streamline operations in sponsor-vendor strategic partnerships.
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A Guide to Adaptive Randomisation in Clinical Trials
An Adaptive Randomisation method based on a Patient's Characteristics used in phase 2 and phase 3 clinical trials that focuses on personalising medication for rare diseases and adaptive trial design.
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Multiple Imputation and Missing Data in Clinical Trials
An introduction to handling the issues of Missing Data in Clinical Trials which has changed the incorporation of missing data in study results.
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Multi-Omics and its Application in Personalised Medicine Studies
Explore how multi-omics transforms personalised medicine, integrating genomics, proteomics, and metabolomics to advance precision healthcare.
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A Guide to Randomisation in Clinical Trials
Discover the essentials of randomisation in clinical trials, covering methods, benefits, and best practices for robust and unbiased research.
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A Guide to Complex Innovative Trial Designs
Explore Complex Innovative Trial Designs (CIDs) in clinical research: adaptive, Bayesian, biomarker-driven methods, case studies, challenges and more
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Efficacy Endpoints in Oncology Clinical Trials
A guide to efficacy endpoints in oncology clinical trials and the RECIST (Response Evaluation Criteria In Solid Tumours) method.
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The Different Phases of Clinical Trials
Learn about all the different phases of clinical trials that are classified into 4 phases, including a phase 0, and their study designs and methodologies.
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SAS Proc Transpose In Clinical Trial Programming
A blog article by a member of Quanticate's Clinical Programming team exploring SAS Proc Transpose VS SAS Arrays within Clinical Programming
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The Advantages of Parallel Processing Clinical Data in SAS/Connect
This blog post reviews the Advantages of Parallel Processing on the reporting and analysis of clinical trial data using SAS/Connect. Learn more with Quanticate's programming experts.
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