Prove your efficacy and effectiveness in clinical studies with statistical analysis.
At Quanticate, our biostatisticians have a desire for quality and implement the best approach to a client situation/scenario to ensure correct analysis without an over complex process. By using the appropriate tools, we are able to demonstrate the efficacy of a drug and present the results in the clearest way possible.
Biostatistics is necessary for all investigational drug or device development programmes to determine the efficacy and effectiveness in clinical trials. This includes the study designs, study conduct, determining the most effective data collection points and how analysis and reporting should be performed.
We are trusted by top pharmaceuticals as our personalised approach forms lasting relationships and enables our experts to transfer their biostatistics knowledge on to our customers.
Quanticate provides all levels of support from bespoke biostatistical consultancy for protocol design, calculation of sample sizes, power calculations, and/or the production of study randomisation, through to study level analysis of Tables, Listings and Figures. We even provide support and advice for pre-clinical studies to ensure the study objective is being fulfilled.
Quanticate has experience across a wide range of therapeutic areas, all phases of research and development. Our scientific principles will guide you throughout your trial ensuring high quality data with your clinical trial reporting to support your regulatory submission.
Our services provide a solid foundation for your clinical studies, from protocol development, randomisation, and unblinding procedures to the creation of Statistical Analysis Plans (SAP) and thorough reviews of Case Report Forms (CRFs) to ensure data alignment with trial objectives, ultimately enhancing study success.
Our input includes writing of statistical analysis section, clinical study design, sample size calculations and consultancy advice during the start up of a study.
We ensure innovative approaches to the statistical content of a study to increase the chances of a successful trial. By using standardised output shells, we ensure a smooth transition to Programming when using our validated macros.
We offer support at the start of the trial to set up the documentation for DSMBs and study designs to incorporate interim analysis.
With cross functional support for Clinical Data Management customers, CRFs are reviewed to ensure data collection endpoints are appropriate and necessary for the trials objectives.
Our study reporting services ensure precise and regulatory-compliant presentation of trial data. We specialise in creating integrated summaries, conducting meta-analyses, and adhering to CDISC standards. Our team enhances efficiency in output production and performs detailed PK/PD analyses, ensuring high-quality statistical reports and thorough review of clinical study reports (CSRs).
We provide support for the integrated summaries of safety and integrated summaries of efficacy data prior to regulatory approval.
Our expert statisticians can advise on potentials for bias during a Meta Analysis as well as on statistical methods to use.
using CDISC standards ensures that the data used in the outputs produced complies with regulatory standards.
Using your systems or Quanticate's standard macros with SAS ® Programming and R Programming ensures increased efficiency when producing study report outputs.
Non-compartmental analysis using Phoenix WinNonlin® and statistical analysis with the relationship between exposure and response modeled using non-linear models and the use of non-linear mixed effect modeling.
Our statistical and medical writing teams collaborate to produce high-quality reports to display the study reporting results of trials, which are then used by Medical Writing in the creation of CSRs. We also review these CSRs from a statistical perspective generated to ensure statistical integrity is up held.
Richard Morton is Quanticate's Head of Statistics, responsible for leading both the Statistical Consultancy team and statistical programming deliverables.
He has over 30 years of experience working within the pharmaceutical industry, with a wealth of knowledge having thrived as a Manager, Statistician, and Statistical Programmer.
Richard graduated from DeMontfort University, Reading, with a MSc in Biometry.
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