Pharmaceutical Statistics
SCOPUS (2004-2025)SCIE-ISI
1539-1612
1539-1604
Anh Quốc
Cơ quản chủ quản: John Wiley and Sons Ltd , WILEY
Lĩnh vực:
Statistics and ProbabilityPharmacologyPharmacology (medical)
Phân tích ảnh hưởng
Các bài báo tiêu biểu
Optimal caliper widths for propensity‐score matching when estimating differences in means and differences in proportions in observational studies
Tập 10 Số 2 - Trang 150-161 - 2011
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...
Guidelines for accurate EC50/IC50 estimation
Tập 10 Số 2 - Trang 128-134 - 2011
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...
Missing data in clinical trials: from clinical assumptions to statistical analysis using pattern mixture models
Tập 12 Số 6 - Trang 337-347 - 2013
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...
Propensity score applied to survival data analysis through proportional hazards models: a Monte Carlo study
Tập 11 Số 3 - Trang 222-229 - 2012
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...
Combining p‐values in large‐scale genomics experiments
Tập 6 Số 3 - Trang 217-226 - 2007
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...
An improved concordance correlation coefficient
Tập 2 Số 4 - Trang 253-261 - 2003
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...
The role of the minimum clinically important difference and its impact on designing a trial
Tập 10 Số 3 - Trang 250-256 - 2011
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...