Abstract:
:Bayesian experimental design for a clinical trial involves specifying a utility function that models the purpose of the trial, in this case the selection of patients for a diagnostic test. The best sample of patients is selected by maximizing expected utility. This optimization task poses difficulties due to a high-dimensional discrete design space and, also, to an expected utility formula of high complexity. A simulation-based optimal design method is feasible in this case. In addition, two deterministic algorithms that perform a systematic search over the design space are developed to address the computational issues.
journal_name
Biometricsjournal_title
Biometricsauthors
Buzoianu M,Kadane JBdoi
10.1111/j.1541-0420.2008.01156.xsubject
Has Abstractpub_date
2009-09-01 00:00:00pages
953-61issue
3eissn
0006-341Xissn
1541-0420pii
BIOM1156journal_volume
65pub_type
杂志文章相关文献
BIOMETRICS文献大全abstract::In genetic family studies, ages at onset of diseases are routinely collected. Often one is interested in assessing the familial association of ages at the onset of a certain disease type. However, when a competing risk is present and is related to the disease of interest, the usual measure of association by treating t...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2009.01372.x
更新日期:2010-12-01 00:00:00
abstract::The classical concordance correlation coefficient (CCC) to measure agreement among a set of observers assumes data to be distributed as normal and a linear relationship between the mean and the subject and observer effects. Here, the CCC is generalized to afford any distribution from the exponential family by means of...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2009.01335.x
更新日期:2010-09-01 00:00:00
abstract::Many techniques of functional data analysis require choosing a measure of distance between functions, with the most common choice being L2 distance. In this article we show that using a weighted L2 distance, with a judiciously chosen weight function, can improve the performance of various statistical methods for funct...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12161
更新日期:2014-09-01 00:00:00
abstract::Multinomial data arise in many areas of the life sciences, such as mark-recapture studies and phylogenetics, and will often by overdispersed, with the variance being higher than predicted by a multinomial model. The quasi-likelihood approach to modeling this overdispersion involves the assumption that the variance is ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.13194
更新日期:2020-09-01 00:00:00
abstract::In longitudinal studies and in clustered situations often binary and continuous response variables are observed and need to be modeled together. In a recent publication Dunson, Chen, and Harry (2003, Biometrics 59, 521-530) (DCH) propose a Bayesian approach for joint modeling of cluster size and binary and continuous ...
journal_title:Biometrics
pub_type: 评论,杂志文章
doi:10.1111/j.1541-020X.2005.00409_1.x
更新日期:2005-09-01 00:00:00
abstract::A time-dependent measure, termed the rate ratio, was proposed to assess the local dependence between two types of recurrent event processes in one-sample settings. However, the one-sample work does not consider modeling the dependence by covariates such as subject characteristics and treatments received. The focus of ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.13229
更新日期:2020-12-01 00:00:00
abstract::Andersen et al. (1985, Biometrics 41, 921-932) gave an estimator of the cumulative relative mortality comparing rates of death in an epidemiologic cohort to an external population as a function of time when covariate information is available on all cohort members. We present an analogous estimator when covariate infor...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1993-06-01 00:00:00
abstract::Computer simulation has been used to compare four methods for calculating confidence intervals for simple rate ratios estimated from cohort studies. The method proposed by Cornfield (1956. In Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability. Vol. IV, 135-148) for interval estimati...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1983-06-01 00:00:00
abstract::We propose methods for Bayesian inference for a new class of semiparametric survival models with a cure fraction. Specifically, we propose a semiparametric cure rate model with a smoothing parameter that controls the degree of parametricity in the right tail of the survival distribution. We show that such a parameter ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341x.2001.00383.x
更新日期:2001-06-01 00:00:00
abstract::The spending function approach proposed by Lan and DeMets (1983, Biometrika 70, 659-663) for sequential monitoring of clinical trials is applied to situations where comparison of changes in a continuous response variable between two groups is the primary concern. Death, loss to follow-up, and missed visits could cause...
journal_title:Biometrics
pub_type: 临床试验,杂志文章
doi:
更新日期:1992-09-01 00:00:00
abstract::A study of otitis media that requires a test for the comparison of two clustered samples of censored data is described. A method is proposed taking into account the within-subject correlation in the formation of the log-rank statistic. ...
journal_title:Biometrics
pub_type: 临床试验,杂志文章,随机对照试验
doi:
更新日期:1996-03-01 00:00:00
abstract::Training data in a supervised learning problem consist of the class label and its potential predictors for a set of observations. Constructing effective classifiers from training data is the goal of supervised learning. In biomedical sciences and other scientific applications, class labels may be subject to errors. We...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341X.2004.00156.x
更新日期:2004-03-01 00:00:00
abstract::In this article, we propose a new statistical method-MutRSeq-for detecting differentially expressed single nucleotide variants (SNVs) based on RNA-seq data. Specifically, we focus on nonsynonymous mutations and employ a hierarchical likelihood approach to jointly model observed mutation events as well as read count me...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12548
更新日期:2017-03-01 00:00:00
abstract::The focus of this article is on the nature of the likelihood associated with N-mixture models for repeated count data. It is shown that the infinite sum embedded in the likelihood associated with the Poisson mixing distribution can be expressed in terms of a hypergeometric function and, thence, in closed form. The res...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12521
更新日期:2016-12-01 00:00:00
abstract::An adjusted rank correlation test is proposed as a technique for identifying publication bias in a meta-analysis, and its operating characteristics are evaluated via simulations. The test statistic is a direct statistical analogue of the popular "funnel-graph." The number of component studies in the meta-analysis, the...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1994-12-01 00:00:00
abstract::Diggle's tests of spatial randomness based on empirical distributions of interpoint distances can be performed with and without edge-effect correction. We present here numerical results illustrating that tests without the edge-effect correction proposed by Diggle (1979, Biometrics 35, 87-101) have a higher power for s...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341x.1999.00156.x
更新日期:1999-03-01 00:00:00
abstract::The relative performance of the unconditioned maximum likelihood estimators (UMLEs), conditional MLEs (CMLEs), and Jewell-type estimators of the odds ratio (OR) and its logarithm were investigated in sets of single 2 x 2 contingency tables. The tables were generated by complete enumeration of all possible cell frequen...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1991-09-01 00:00:00
abstract::Restricted maximum likelihood (REML) is now well established as a method for estimating the parameters of the general Gaussian linear model with a structured covariance matrix, in particular for mixed linear models. Conventionally, estimates of precision and inference for fixed effects are based on their asymptotic di...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1997-09-01 00:00:00
abstract::In problems with missing or latent data, a standard approach is to first impute the unobserved data, then perform all statistical analyses on the completed dataset--corresponding to the observed data and imputed unobserved data--using standard procedures for complete-data inference. Here, we extend this approach to mo...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341X.2005.031010.x
更新日期:2005-03-01 00:00:00
abstract::The simultaneous testing of multiple hypotheses is common to the analysis of high-dimensional data sets. The two-group model, first proposed by Efron, identifies significant comparisons by allocating observations to a mixture of an empirical null and an alternative distribution. In the Bayesian nonparametrics literatu...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.13314
更新日期:2020-06-14 00:00:00
abstract::A routine challenge is that of making inference on parameters in a statistical model of interest from longitudinal data subject to dropout, which are a special case of the more general setting of monotonely coarsened data. Considerable recent attention has focused on doubly robust (DR) estimators, which in this contex...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2010.01476.x
更新日期:2011-06-01 00:00:00
abstract::Within the framework of Fisher's discriminant analysis, we propose a multiclass classification method which embeds variable screening for ultrahigh-dimensional predictors. Leveraging interfeature correlations, we show that the proposed linear classifier recovers informative features with probability tending to one and...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.13065
更新日期:2019-12-01 00:00:00
abstract::This article presents a new approach for exploring the distribution of interindividual random effects in nonlinear mixed effect models. The approach introduces a spline function, which transforms an assumed normally distributed interindividual random effect to an arbitrary distribution approximating that of the data. ...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1995-12-01 00:00:00
abstract::A simple method for comparing independent groups of clustered binary data with group-specific covariates is proposed. It is based on the concepts of design effect and effective sample size widely used in sample surveys, and assumes no specific models for the intracluster correlations. It can be implemented using any s...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1992-06-01 00:00:00
abstract::In epidemiologic studies of time to an event, mean lifetime is often of direct interest. We propose methods to estimate group- (e.g., treatment-) specific differences in restricted mean lifetime for studies where treatment is not randomized and lifetimes are subject to both dependent and independent censoring. The pro...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2010.01503.x
更新日期:2011-09-01 00:00:00
abstract::Dynamic treatment regimes (DTRs) aim to formalize personalized medicine by tailoring treatment decisions to individual patient characteristics. G-estimation for DTR identification targets the parameters of a structural nested mean model, known as the blip function, from which the optimal DTR is derived. Despite its po...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.13104
更新日期:2019-12-01 00:00:00
abstract::Highly active antiretroviral therapy (HAART) has proved efficient in increasing CD4 counts in many randomized clinical trials. Because randomized trials have some limitations (e.g., short duration, highly selected subjects), it is interesting to assess the effect of treatments using observational studies. This is chal...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12564
更新日期:2017-03-01 00:00:00
abstract::Conventional statistical determinations of sample size in phase II studies typically lead to sample sizes of the order of 25 (Schoenfeld, 1980, International Journal of Radiation Oncology, Biology and Physics 6, 371-374). When the development of new treatments is proceeding rapidly relative to the recruitment of suita...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1985-06-01 00:00:00
abstract::Prognostic models in survival analysis typically aim to describe the association between patient covariates and future outcomes. More recently, efforts have been made to include covariate information that is updated over time. However, there exists as yet no standard approach to assess the predictive accuracy of such ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2007.00889.x
更新日期:2008-06-01 00:00:00
abstract::The search for an optimal dose of a drug has been investigated in a sequential setting to ensure the safety level by Eichhorn and Zacks (1973, Journal of the American Statistical Association 68, 594-598; 1981, Communications in Statistics--Theory and Methods A10, 931-953), Eichhorn (1974, Communications in Statistics ...
journal_title:Biometrics
pub_type: 临床试验,杂志文章
doi:
更新日期:1989-06-01 00:00:00