Pharmaceutical Statistics

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Propensity score applied to survival data analysis through proportional hazards models: a Monte Carlo study
Pharmaceutical Statistics - Tập 11 Số 3 - Trang 222-229 - 2012
Étienne Gayat, Matthieu Resche‐Rigon, Jean–Yves Mary, Raphaël Porcher
Propensity score methods are increasingly used in medical literature to estimate treatment effect using data from observational studies. Despite many papers on propensity score analysis, few have focused on the analysis of survival data. Even within the framework of the popular proportional hazard model, the choice among marginal, stratified or adjusted models remains unclear. A Monte Carlo simula... hiện toàn bộ
Combining p‐values in large‐scale genomics experiments
Pharmaceutical Statistics - Tập 6 Số 3 - Trang 217-226 - 2007
Dmitri V. Zaykin, L. A. Zhivotovsky, Wendy Czika, Susan Shao, Russell D. Wolfinger
AbstractIn large‐scale genomics experiments involving thousands of statistical tests, such as association scans and microarray expression experiments, a key question is: Which of the L tests represent true associations (TAs)? The traditional way to control false findings is via individual adjustments. In the presence of multiple TAs, p‐value combination methods offer certain advantages. Both Fishe... hiện toàn bộ
Missing data in clinical trials: from clinical assumptions to statistical analysis using pattern mixture models
Pharmaceutical Statistics - Tập 12 Số 6 - Trang 337-347 - 2013
Bohdana Ratitch, Michael O’Kelly, Robert Tosiello
The need to use rigorous, transparent, clearly interpretable, and scientifically justified methodology for preventing and dealing with missing data in clinical trials has been a focus of much attention from regulators, practitioners, and academicians over the past years. New guidelines and recommendations emphasize the importance of minimizing the amount of missing data and carefully selecting pri... hiện toàn bộ
Optimal caliper widths for propensity‐score matching when estimating differences in means and differences in proportions in observational studies
Pharmaceutical Statistics - Tập 10 Số 2 - Trang 150-161 - 2011
Peter C. Austin
AbstractIn a study comparing the effects of two treatments, the propensity score is the probability of assignment to one treatment conditional on a subject's measured baseline covariates. Propensity‐score matching is increasingly being used to estimate the effects of exposures using observational data. In the most common implementation of propensity‐score matching, pairs of treated and untreated s... hiện toàn bộ
An improved concordance correlation coefficient
Pharmaceutical Statistics - Tập 2 Số 4 - Trang 253-261 - 2003
Jason J. Z. Liao
AbstractIt is often required to compare two measurements in medicine and other experimental sciences. This problem covers a broad range of data, and examples can be found in different industries. In this paper, a new index on measuring agreement is proposed, which is similar to Lin's concordance correlation coefficient but derived from a criterion which is more conceptually appealing and which off... hiện toàn bộ
The role of the minimum clinically important difference and its impact on designing a trial
Pharmaceutical Statistics - Tập 10 Số 3 - Trang 250-256 - 2011
Christy Chuang‐Stein, Simon Kirby, Ian Hirsch, Gary Atkinson
AbstractThe minimum clinically important difference (MCID) between treatments is recognized as a key concept in the design and interpretation of results from a clinical trial. Yet even assuming such a difference can be derived, it is not necessarily clear how it should be used. In this paper, we consider three possible roles for the MCID. They are: (1) using the MCID to determine the required samp... hiện toàn bộ
Guidelines for accurate EC50/IC50 estimation
Pharmaceutical Statistics - Tập 10 Số 2 - Trang 128-134 - 2011
Jeanne L. Sebaugh
AbstractThis article provides minimum requirements for having confidence in the accuracy of EC50/IC50 estimates. Two definitions of EC50/IC50s are considered: relative and absolute. The relative EC50/IC50 is the parameter c in the 4‐parameter logistic model and is the concentration corresponding to a response midway between the estimates of the lower and upper plateaus. The absolute EC50/IC50 is t... hiện toàn bộ
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