Coleman, Daniel Pourmohamad, Tony
Published in
Pharmaceutical statistics
This article considers designed experiments for stability, comparability, and formulation testing that are analyzed with regression models in which the degradation rate is a fixed effect. In this setting, we investigate how the number of lots, the number of time points and their locations affect the precision of the entities of interest, leverages ...
Phillips, Alan Smith, Karen
Published in
Pharmaceutical statistics
The intention of this article is to highlight sources of web-based reference material and software that will aid consulting statisticians when designing clinical trials. The article includes websites that provide links to explanation of statistical concepts for non-statisticians, regulatory guidelines, and free statistical study design software. © ...
De Backer, Mickaël Legrand, Catherine Péron, Julien Lambert, Alexandre Buyse, Marc
Published in
Pharmaceutical statistics
In randomized clinical trials, methods of pairwise comparisons such as the 'Net Benefit' or the 'win ratio' have recently gained much attention when interests lies in assessing the effect of a treatment as compared to a standard of care. Among other advantages, these methods are usually praised for delivering a treatment measure that can easily han...
Liu, Qingyang Hu, Guanyu Ye, Binqi Wang, Susan Wu, Yaoshi
Published in
Pharmaceutical statistics
Unblinded sample size re-estimation (SSR) is often planned in a clinical trial when there is large uncertainty about the true treatment effect. For Proof-of Concept (PoC) in a Phase II dose finding study, contrast test can be adopted to leverage information from all treatment groups. In this article, we propose two-stage SSR designs using frequenti...
Zhou, Yanhong Zhao, Yujie Cicconetti, Greg Mu, Yunming Yuan, Ying Wang, Li Penugonda, Sudhir Salman, Zeena
Published in
Pharmaceutical statistics
Designing Phase I clinical trials is challenging when accrual is slow or sample size is limited. The corresponding key question is: how to efficiently and reliably identify the maximum tolerated dose (MTD) using a sample size as small as possible? We propose model-assisted and model-based designs with adaptive intrapatient dose escalation (AIDE) to...
Labrenz, Jannik Edelmann, Dominic Heitmann, Jonas S Salih, Helmut R Kopp-Schneider, Annette Schlenk, Richard F
Published in
Pharmaceutical statistics
Dose-finding designs for phase-I trials aim to determine the recommended phase-II dose (RP2D) for further phase-II drug development. If the trial includes patients for whom several lines of standard therapy failed or if the toxicity of the investigated agent does not necessarily increase with dose, optimal dose-finding designs should limit the freq...
Yu, Xuanxuan Cai, Lixin Yu, Hao Zhong, Zihang Yang, Min Wu, Jingwei Bai, Jianling
Published in
Pharmaceutical statistics
Multi-regional clinical trial (MRCT) is an efficient design to accelerate drug approval globally. Once the global efficacy of test drug is demonstrated, each local regulatory agency is required to prove effectiveness of test drug in their own population. Meanwhile, the ICH E5/E17 guideline recommends using data from other regions to help evaluate r...
Pourmohamad, Tony Ng, Hon Keung Tony
Published in
Pharmaceutical statistics
Dissolution studies are a fundamental component of pharmaceutical drug development, yet many studies rely upon the f 1 and f 2 model-independent approach that is not capable of accounting for uncertainty in parameter estimation when comparing dissolution profiles. In this paper, we deal with the issue of uncertainty quantification by proposing seve...
Abugov, Robert Clark, Jennifer Higginbotham, Laura Li, Feng Nie, Lei Reasner, David Rothmann, Mark Yuan, Xin Sharretts, John
Published in
Pharmaceutical statistics
Continuous outcomes are often dichotomized to classify trial subjects as responders or nonresponders, with the difference in rates of response between treatment and control defined as the "responder effect." In this article, we caution that dichotomization of continuous interval outcomes may not be best practice. Defining clinical benefit or harm f...
Wang, Jixian Marion-Gallois, Roland
Published in
Pharmaceutical statistics
Matching and stratification based on confounding factors or propensity scores (PS) are powerful approaches for reducing confounding bias in indirect treatment comparisons. However, implementing these approaches requires pooled individual patient data (IPD). The research presented here was motivated by an indirect comparison between a single-armed t...