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EAST takes on Multi-Arm Multi-Stage Designs

Posted by Cytel

Mar 11, 2016 12:30:00 PM

There has been increasing interest in  multi-arm multi-stage trials with treatment selection and sample size re-estimation at interim analysis. The East 6.4  release incorporates new Multi-Arm Multi-Stage (MAMS) module to support statisticians designing these studies.  In this blog, we take a high level look at some of the features and advantages of this approach.  

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Topics: East, Adaptive Clinical Trials, Multi-Arm Studies, Multi-Arm Multi-Stage Studies, EAST 6.4


Mind the Gap! How to prepare for SDTM migrations.

Posted by Cytel

Mar 8, 2016 9:30:00 AM

Data standardization is critical to ensure successful regulatory submissions. While many sponsors now choose to create CDISC compliant outputs as part of their in-line study analysis and reporting, inevitably legacy conversion of older studies is required.

A legacy conversion project is one which requires a significant transformation effort, where neither CDASH nor SDTM has been used. Migrating to SDTM is of course a complex activity, requiring a precise and intelligent approach- it’s not just a matter of renaming variables.  A gap analysis which assesses the current state of the data can ensure the project is commenced on the right footing.  In the below example, we conducted a gap analysis as part of a project for a client who engaged Cytel for support with their ISS/ISE.

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Topics: Statistical Programming, ISS, ISE, CDISC, SDTM


Adaptive SSR: Debunking the inefficiency myth

Posted by Cytel

Mar 3, 2016 3:00:00 PM

 'The aim of a discussion should not be victory but progress.'

This principle, expressed by the French essayist Joseph Joubert, applies effectively to the spirit of scientific debate. More specifically, within the clinical development space, the field of adaptive designs has seen its fair share of both discussion and progress. In this blog we’ll take a look at one debated area- the efficiency of Adaptive SSR designs.

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Topics: Cyrus Mehta, Adaptive Clinical Trials, adaptive sample size re-estimation, Lingyun Liu


Getting Technical: The evolving role of the Data Manager

Posted by Cytel

Feb 26, 2016 9:00:00 AM

Remember the early days of Electronic Data Capture? Those first systems, which were revolutionary for their time featured basic data entry screens, simple edit checks and a handful of reports. 

Technology has come a long way since then, and the EDC landscape has matured dramatically along with it.  Current EDC must-haves include easy user and site management, secure automated password retrieval, robust reporting, query and SAE management, as well as Source Data Verification, and Risk based monitoring. Many sites need to be active at the same time; labs need to enter or upload data directly into the system; medical coding should be performed inside of the tool; images need to be uploaded and stored; email and text alerts sent to investigators and sponsors, and patient reported outcomes and diaries need to be available.

Counter intuitively, while EDC system functionality is becoming ever more sophisticated, the interface to build the systems is becoming easier to use and understand.

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Topics: Data Management, Clinical Research Services, Clinical Data, EDC, database build, data manager, CDM


EnForeSys® enrollment forecasting showcases at SCOPE

Posted by Cytel

Feb 17, 2016 12:32:45 PM

Charles Liu, Statistician and Product Manager at Cytel will be part of the expert speaker panel at the 7th Annual SCOPE Summit on 23-26th February. This year’s meeting is taking place in Miami, and offers a packed program with tracks covering such varied topics as risk based monitoring, clinical data technology and integration, and managing outsourced clinical trials. SCOPE has become one of the leading events on the conference calendar for clinical operations executives, with 1100 delegates from over 300 companies expected to attend this February. 

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Topics: feasibility studies, patient enrollment, enforesys, Scope conference


How to Make the Most of Data Management Capabilities for Improved Risk Based Monitoring

Posted by Cytel

Dec 1, 2015 3:00:00 PM

Risk based monitoring is a strategic monitoring practice which aims to shine the spotlight on problematic study areas, to maximize oversight of the most vulnerable data. The efficiency promised by RBM arises from the ability to detect the sources of data require the most attention, and distribute finite resources for oversight to the most problematic areas. This distribution aims to optimize attention on data sources which are in the most need of oversight, while decreasing attention on sources of data that have historically proven to be reliable.

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Topics: Data Management, Clinical Data, Risk Based Monitoring


A Competitive Alternative to Model-Based Dose-finding

Posted by Cytel

Nov 19, 2015 4:00:00 PM

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Topics: Dose-Finding, BLRM


Takeda Pharmaceuticals' Ling Wang Talks Model-based Dose-finding Designs

Posted by Cytel

Nov 16, 2015 4:30:00 PM

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Topics: Dose-Finding, BLRM


2 Talks on Early Phase Go/No-GO Decision Making

Posted by Cytel

Nov 12, 2015 4:00:00 PM

Last week Cytel joined forces with Sanofi/Genzyme to devote a full day of workshops and talks related to modern methods in early phase oncology. Patrick Mitchell, an Associate Director of Statistical Sciences at Astra Zeneca, gave this talk on Bayesian go/no-go decision-making in an early phase oncology event study. 

Astra Zeneca recently invited Cytel to take part in a collaborative initiative to develop software for go/no-go decision-making. Pat demonstrates the uses of this proprietary software in early phase oncology. 

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Topics: Bayesian Methods, Early Phase Trials, Clinical Development Strategy, go-no-go


Bayesian Dose Escalation Designs for Late Onset Toxicity

Posted by Cytel

Nov 10, 2015 4:00:00 PM

Last week Cytel joined forces with Sanofi/Genzyme to devote a full day of workshops and talks related to modern methods in early phase oncology. 

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Topics: Dose-Escalation, Bayesian Methods


How to Reduce Bias in the Estimates of Count Data Regression

Posted by Cytel

Oct 29, 2015 4:00:00 PM

A common challenge of working with small sample sizes is determining proper bias correction methods when evaluating a given set of data. Oftentimes, statisticians depend on large sample sizes to naturally correct for any bias. Small sample sizes, by contrast, require innovations like Firth’s famous bias correction method.

Recently, Cytel statisticians Ashwini Joshi and Sumit Singh gave a talk entitled “How to Reduce Bias in the Estimates of Count Data Regression.” Using a number of case studies and simple to use LogXact PROC software, they demonstrate the ease with which bias correction can be implemented for small sample clinical data.

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Topics: Access to Slides PDF, Small Sample Sparse Data


Cytel Case Study Series III: Dose Finding & Dose Response Modeling in Pediatric Asthma

Posted by Cytel

Oct 22, 2015 2:28:53 PM

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Topics: Case Study, Pediatric, MCP-Mod


MCPMod: An Introduction

Posted by Cytel

Oct 15, 2015 5:31:00 PM

The method for dose-response modeling that is widely called MCPMod allows a sponsor to measure the likelihood that particular dose-response curves are the right mathematical model for a given set of data. Since several different dose-response curves might be able to fit the data, how can you determine which is the best curve for your purposes?

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Topics: MCP-Mod


Statistical Primer for Cardiovascular Research

Posted by Cytel

Oct 13, 2015 4:39:00 PM

In honor of World Obesity Day (celebrated on Oct. 11 2015) here is an American Heart Association Statistical Primer on Cardiovascular Research. Cardiovascular outcome trials (sometimes called CVOTs) are clinical trials that are critical for determining the safety of new anti-obesity and diabetes drugs. Early CVOTs like TECOS and SAVOR-TIMI enrolled over 14,000 and 16,000 patients respectively.

Cyrus Mehta, president and co-founder of Cytel, has been on the forefront of developing novel designs to shorten the length of these trials while maintaining high statistical rigor. In this primer he provides an overview of fixed sample, GS and adaptive designs for cardiovascular trials. Other topics include: adaptive sample size re-estimation, and SSR with enrichment for high and low risk subpopulations. 

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Topics: Cardiovascular


Being a Statistician: An Art, a Science or Just Job?

Posted by Cytel

Oct 8, 2015 4:25:00 PM

A recent American Statistical Association conference featured a town hall meeting to discuss the role of the statistician within the pharmaceutical industry, and in particular within the subfield of precision medicine. The panel of distinguished academics, regulators and members of industry confronted the concern that the era of precision medicine heralds an emerging need for statisticians to play a different role than the ones normally associated with technique and craft. Statisticians are now charged with discovering insightful applications to new statistical methodologies, and ensuring that clinical development reflects as many innovative statistical methods as necessary to achieve a successful study. According to the panel, statisticians may even find themselves in a position where they are required to anticipate scientific and technological advances for a study’s benefit.

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Topics: Statistical Programming, statistical communication


2 Methods for Evaluating Biomarker Subpopulations in (Adaptive Enrichment) Time to Event Trials

Posted by Cytel

Oct 5, 2015 4:14:58 PM

One consideration every sponsor of a biomarker-stratified confirmatory trial must take into account, is whether to evaluate the biomarker subpopulation (S) against the rest of the population (S') or against the full population (F).

Mathematically, one would think this makes very little difference as F is partitioned into S and S'. If the null hypothesis is rejected for both S and S' then clearly it is rejected for F too. Similarly, if it is rejected for S and not for S' then the therapy is effective for the biomarker subpopulation, and ineffective for the rest of the population.

As it turns out, whether or not a given biomarker is indeed a predictive biomarker should affect the choice of statistical methodology in time-to-event trials.

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Topics: Cyrus Mehta, Enrichment, Simulation & Biomarkers, time-to-even trials, Biomarkers


5 Skills Needed by All Highly Effective Statisticians

Posted by Cytel

Sep 29, 2015 5:02:00 PM

The Head of the DIA’s Adaptive Design Working Group Asks Us to Consider 5 ‘Soft-Skills’ All Effective Statisticians Should Cultivate

The advent of adaptive designs has meant that statisticians have a new role to play in the drug development process. Not only are they responsible for tackling the precise statistical issues that can arise during the course of a study, but their knowledge and vision can result in innovations that substantially alter study design, strategic decision-making, probability of trial success and level of revenue.  

Given this new role played by statisticians, what skills do statisticians now need to cultivate to be as effective as possible in the boardroom and on their project teams?

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Topics: Statistical Analysis, Entrepreneurship, Clinical Development Strategy


Cytel Case Study Series II: Adaptive Bayesian Design with Informative Prior

Posted by Cytel

Sep 15, 2015 3:56:42 PM

 

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Topics: Bayesian Methods, Cytel Consulting, Case Study, Adaptive Clinical Trials


Cytel Case Studies Series #1: Using Simulation for Accelerated Early Phase Drug Development

Posted by Cytel

Sep 4, 2015 10:30:00 AM

Our Client's Challenge:

Can knowledge of the relationship between biomarkers and clinical endpoints help us to optimize an early development program and improve the probability of selecting the right dose in Phase 3?

Our client approached us hoping to expedite dose-finding with biomarkers in Phase 1b, and to design an optimal Phase 2b clinical endpoint trial to maximize probability of correct Phase 3 dose selection.

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Topics: Cytel Consulting, Early Phase Trials, Clinical Development Strategy, Proof-of-Concept, Case Study, Biomarkers, Simulations


Modern Early Phase Clinical Trial Design Primer

Posted by Cytel

Sep 1, 2015 4:01:39 PM

If you’re in the practice of conducting early phase clinical trials, you’ve probably heard that modern trial designs include a number of new methodologies. There’s CRM and BLRM, model-based methods versus rule-based methods, and a number of other developments that might affect your clinical strategy. Each of these methods affects operational, financial and regulatory objectives in unique ways.

As a part of this year’s Joint Statistical Meeting, Cytel statisticians created a primer to go along with a workshop for early phase clinical trial design.

In the primer you will find: 

  • 1. An overview of 3+3, CRM, BLRM and mTPI methods
  • 2. A synopsis of basic concepts like Bayesian and frequentist statistics, models and rules, etc.
  • 3. Reflections on regulatory considerations
  • 4. Case studies and topical exercises with Cytel’s high-powered simulations
  • 5. A solution guide for those with access to Cytel's East software  

 Click to download the Primer

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Topics: Bayesian Methods, CRM, Early Phase Trials, Clinical Development Strategy, BLRM


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