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期刊名:Pharmaceutical statistics

缩写:PHARM STAT

ISSN:1539-1604

e-ISSN:1539-1612

IF/分区:1.4/Q2

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共收录本刊相关文章索引1147
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Dixi Xue Dixi Xue
Sequential monitoring of efficacy and safety data has become a vital component of modern clinical trials. It affords companies the opportunity to stop studies early in cases when it appears as if the primary objective will not be achieved o...
Helene Thygesen,Vladimir Dragalin,Anne Whitehead et al. Helene Thygesen et al.
We describe a dose escalation procedure for a combined phase I/II clinical trial. The procedure is based on a Bayesian model for the joint distribution of the occurrence of a dose limiting event and of some indicator of efficacy (both consi...
Aklilu Habteab Ghebretinsae,Christel Faes,Geert Molenberghs et al. Aklilu Habteab Ghebretinsae et al.
Multivariate longitudinal or clustered data are commonly encountered in clinical trials and toxicological studies. Typically, there is no single standard endpoint to assess the toxicity or efficacy of the compound of interest, but co-primar...
Habib Hassani Habib Hassani
This paper discusses the application of a stochastic model in the analysis of response assessments made at various time points in a clinical trial of patients with squamous cell carcinoma of the head and neck. The transition rates and proba...
C H Mallinckrodt,Q Lin,I Lipkovich et al. C H Mallinckrodt et al.
An important evolution in the missing data arena has been the recognition of need for clarity in objectives. The objectives of primary focus in clinical trials can often be categorized as assessing efficacy or effectiveness. The present inv...
Mark Janssens,Geert Molenberghs,René Kerstens Mark Janssens
Missing data in clinical trials is a well-known problem, and the classical statistical methods used can be overly simple. This case study shows how well-established missing data theory can be applied to efficacy data collected in a long-ter...
Harry Southworth,Janet E Heffernan Harry Southworth
Generally, in the interpretation of clinical safety laboratory data, it is extreme values that indicate potential safety issues. We illustrate the application of multivariate extreme value modelling to such data. Applying the methods to a c...
Petra Bůžková Petra Bůžková
In medical studies, the long-term level of a risk factor exceeding a threshold is often an outcome of interest. In practice, such a risk factor may not be directly measurable. Instead, outcome variables are based on a single or multiple bio...
Mercier Francois,Chin Peter,Francis Gordon Mercier Francois
Lesion count observed on brain magnetic resonance imaging scan is a common end point in phase 2 clinical trials evaluating therapeutic treatment in relapsing remitting multiple sclerosis (MS). This paper compares the performances of Poisson...
Sara Hughes,Julia Harris,Nancy Flack et al. Sara Hughes et al.
Considerable statistical research has been performed in recent years to develop sophisticated statistical methods for handling missing data and dropouts in the analysis of clinical trial data. However, if statisticians and other study team ...