Abstract:
:In this study, a Bayesian approach was suggested to estimate a change-point according to a covariate threshold when some patients never experienced the event of interest. Gibbs sampler algorithm with latent binary cure indicators was used to simplify the implementation of Markov chain Monte Carlo method. Then, the accuracy of new model was demonstrated by simulation studies to compute the point and interval estimates of parameters. Finally, an effective threshold was suggested in age at surgery time to experience the metastasis when the model was applied for a data set of breast cancer patients.
journal_name
J Biopharm Statjournal_title
Journal of biopharmaceutical statisticsauthors
Shamsi F,Baghestani AR,Binesh Fdoi
10.1080/10543406.2019.1632877subject
Has Abstractpub_date
2020-03-01 00:00:00pages
219-230issue
2eissn
1054-3406issn
1520-5711journal_volume
30pub_type
杂志文章abstract::Dichotomizing a continuous biomarker is a common practice in medical research. Various methods exist in the literature for dichotomizing continuous biomarkers. The most widely adopted minimum p-value approach uses a sequence of test statistics for all possible dichotomizations of a continuous biomarker, and it chooses...
journal_title:Journal of biopharmaceutical statistics
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doi:10.1080/10543406.2012.756503
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
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doi:10.1080/10543406.2017.1397008
更新日期:2018-01-01 00:00:00
abstract::Receptor occupancy (RO) PET is a non-invasive way to determine drug on target. Given the complexity of procedures, long acquisition times, and high cost, ligand displacement imaging trials often have a limited size and produce sparse RO results over the time course of the blocking drug. To take the best advantage of t...
journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
doi:10.1080/10543400701697158
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journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
doi:10.1080/10543400701329497
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
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doi:10.1080/10543406.2010.544527
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journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
doi:10.1080/10543406.2011.616975
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abstract::Large sample size imbalance is not uncommon in the biosimilar development. At the beginning of a product development, sample sizes of a biosimilar and a reference product may be limited. Thus, a sample size calculation may not be feasible. During the development stage, more batches of reference products may be added a...
journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
doi:10.1080/10543406.2016.1265544
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abstract::In various pharmaceutical applications, repeated measurements are taken from each subject, and model parameters are estimated from the collected data. Examples include dose response modeling and PK/PD studies with serial blood sampling, among others. The quality of the information in an experiment is reflected in the ...
journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
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journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
doi:10.1080/10543406.2017.1372766
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journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
doi:10.1080/10543406.2016.1265539
更新日期:2017-01-01 00:00:00
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
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doi:10.1080/10543406.2020.1730877
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journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
doi:10.1080/10543406.2018.1489401
更新日期:2018-01-01 00:00:00
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journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
doi:10.1080/10543409608835129
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
doi:10.1080/10543406.2013.813516
更新日期:2013-01-01 00:00:00
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journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
doi:10.1080/10543406.2014.1000546
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abstract::The Wilcoxon-Mann-Whitney (WMW) test is the most commonly used nonparametric method to compare two treatments when the underlying distribution of the outcome variable is not normally distributed. In the presence of stratum effects, the van Elteren (vE) test, a stratified WMW test, can be used to adjust for the stratum...
journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
doi:10.1080/10543400802369103
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abstract::Noninferiority multiregional clinical trials (MRCTs) have recently received increasing attention in drug development. While a major goal in an MRCT is to estimate the global treatment effect, it is also important to assess the consistency of treatment effects across multiple regions. In this paper, we propose an intui...
journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
doi:10.1080/10543406.2017.1293075
更新日期:2017-01-01 00:00:00
abstract::ETRANK is a statistical software which uses nonparametric (randomization) technique to analyze incomplete repeated measures data, where the pattern of withdrawal is treatment related. This stand alone program is written in C, presently runs in MS-DOS, and a Windows version is in development. The program has been devel...
journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章,评审
doi:10.1080/10543409608835156
更新日期:1996-11-01 00:00:00
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
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更新日期:2006-01-01 00:00:00
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journal_title:Journal of biopharmaceutical statistics
pub_type: 杂志文章
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更新日期:2005-01-01 00:00:00