Sequential construction of multiple-objective optimal designs.

Abstract:

:We propose a sequential approach for constructing multiple-objective locally optimal designs for nonlinear models. The technique used here is a general one and we demonstrate the added benefits of using a multiple-objective design over a single-objective design with examples from biomedical studies.

journal_name

Biometrics

journal_title

Biometrics

authors

Huang YC,Wong WK

subject

Has Abstract

pub_date

1998-12-01 00:00:00

pages

1388-97

issue

4

eissn

0006-341X

issn

1541-0420

journal_volume

54

pub_type

杂志文章
  • On modelling microbial infections.

    abstract::Several models for the course of microbial infections during the incubation period are examined. Each model fits sore throat incubation data very well. Together with the lack of precision of the resulting parameter estimates, this suggests that incubation data alone are insufficient for elucidating the finer details o...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Morgan BJ,Watts SA

    更新日期:1980-06-01 00:00:00

  • Analyzing bivariate repeated measures for discrete and continuous outcome variables.

    abstract::A considerable body of literature has arisen over the past 15 years for analyzing univariate repeated measures data. However, it is rare in applied biomedical research for interest to be restricted to a single outcome measure. In this paper, we consider the case of bivariate repeated measures. We apply a generalized e...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Rochon J

    更新日期:1996-06-01 00:00:00

  • On longitudinal prediction with time-to-event outcome: Comparison of modeling options.

    abstract::Long-term follow-up is common in many medical investigations where the interest lies in predicting patients' risks for a future adverse outcome using repeatedly measured predictors over time. A key quantity is the likelihood of developing an adverse outcome among individuals who survived up to time s given their covar...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12562

    authors: Maziarz M,Heagerty P,Cai T,Zheng Y

    更新日期:2017-03-01 00:00:00

  • Fair regression for health care spending.

    abstract::The distribution of health care payments to insurance plans has substantial consequences for social policy. Risk adjustment formulas predict spending in health insurance markets in order to provide fair benefits and health care coverage for all enrollees, regardless of their health status. Unfortunately, current risk ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13206

    authors: Zink A,Rose S

    更新日期:2020-09-01 00:00:00

  • Regression for skewed biomarker outcomes subject to pooling.

    abstract::Epidemiological studies involving biomarkers are often hindered by prohibitively expensive laboratory tests. Strategically pooling specimens prior to performing these lab assays has been shown to effectively reduce cost with minimal information loss in a logistic regression setting. When the goal is to perform regress...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12134

    authors: Mitchell EM,Lyles RH,Manatunga AK,Danaher M,Perkins NJ,Schisterman EF

    更新日期:2014-03-01 00:00:00

  • An adaptive trial design to optimize dose-schedule regimes with delayed outcomes.

    abstract::This paper proposes a two-stage phase I-II clinical trial design to optimize dose-schedule regimes of an experimental agent within ordered disease subgroups in terms of the toxicity-efficacy trade-off. The design is motivated by settings where prior biological information indicates it is certain that efficacy will imp...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13116

    authors: Lin R,Thall PF,Yuan Y

    更新日期:2020-03-01 00:00:00

  • Heterogeneous capture-recapture models with covariates: a partial likelihood approach for closed populations.

    abstract::In practice, when analyzing data from a capture-recapture experiment it is tempting to apply modern advanced statistical methods to the observed capture histories. However, unless the analysis takes into account that the data have only been collected from individuals who have been captured at least once, the results m...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01596.x

    authors: Stoklosa J,Hwang WH,Wu SH,Huggins R

    更新日期:2011-12-01 00:00:00

  • Type I error robustness of ANOVA and ANOVA on ranks when the number of treatments is large.

    abstract::Agricultural screening trials often involve a large number (t) of treatments in a complete block design with limited replication (b = 3 or 4 blocks). The null hypothesis of interest is that of no differences between treatments. For the commonly used analysis of variance (ANOVA) procedure, most texts do not discuss agr...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Brownie C,Boos DD

    更新日期:1994-06-01 00:00:00

  • A century of biometrical genetics.

    abstract::We briefly review the major contribution of biometrics to genetics over the last century (population genetic models, familial correlations, segregation analysis, and gene mapping) and current areas of active research and then speculate about what problems will be tackled in the next century. ...

    journal_title:Biometrics

    pub_type: 社论,历史文章,评审

    doi:10.1111/j.0006-341x.2000.00659.x

    authors: Elston RC,Thompson EA

    更新日期:2000-09-01 00:00:00

  • Improved estimation of the noncentrality parameter distribution from a large number of t-statistics, with applications to false discovery rate estimation in microarray data analysis.

    abstract::Given a large number of t-statistics, we consider the problem of approximating the distribution of noncentrality parameters (NCPs) by a continuous density. This problem is closely related to the control of false discovery rates (FDR) in massive hypothesis testing applications, e.g., microarray gene expression analysis...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2012.01764.x

    authors: Qu L,Nettleton D,Dekkers JC

    更新日期:2012-12-01 00:00:00

  • Sample size methods for estimating HIV incidence from cross-sectional surveys.

    abstract::Understanding HIV incidence, the rate at which new infections occur in populations, is critical for tracking and surveillance of the epidemic. In this article, we derive methods for determining sample sizes for cross-sectional surveys to estimate incidence with sufficient precision. We further show how to specify samp...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12336

    authors: Konikoff J,Brookmeyer R

    更新日期:2015-12-01 00:00:00

  • A Bayesian goodness of fit test and semiparametric generalization of logistic regression with measurement data.

    abstract::Logistic regression is a popular tool for risk analysis in medical and population health science. With continuous response data, it is common to create a dichotomous outcome for logistic regression analysis by specifying a threshold for positivity. Fitting a linear regression to the nondichotomized response variable a...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12007

    authors: Schörgendorfer A,Branscum AJ,Hanson TE

    更新日期:2013-06-01 00:00:00

  • An implicitly defined parametric model for censored survival data and covariates.

    abstract::Parametric survival functions are usually defined as explicit functions of time and covariates. However, consideration of some simple differential equations describing certain survival curves leads to a descriptive equation which cannot be explicitly solved for the survival function. Nevertheless, the resulting surviv...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Piantadosi S,Crowley J

    更新日期:1995-03-01 00:00:00

  • Estimating overdispersion in sparse multinomial data.

    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

    authors: Afroz F,Parry M,Fletcher D

    更新日期:2020-09-01 00:00:00

  • Heterogeneity models of disease susceptibility, with application to diabetic nephropathy.

    abstract::It is not, in general, possible to include all relevant risk factors in a model of survival or disease incidence. This heterogeneity must be accounted for in the interpretation, as it can imply otherwise unexpected results. This is illustrated by diabetic nephropathy, a serious complication experienced by some diabeti...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Hougaard P,Myglegaard P,Borch-Johnsen K

    更新日期:1994-12-01 00:00:00

  • Accurate critical constants for the one-sided approximate likelihood ratio test of a normal mean vector when the covariance matrix is estimated.

    abstract::Tang, Gnecco, and Geller (1989, Biometrika 76, 577-583) proposed an approximate likelihood ratio (ALR) test of the null hypothesis that a normal mean vector equals a null vector against the alternative that all of its components are nonnegative with at least one strictly positive. This test is useful for comparing a t...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2002.00650.x

    authors: Tamhane AC,Logan BR

    更新日期:2002-09-01 00:00:00

  • Confidence interval estimation for the ratio of simple and standardized rates in cohort studies.

    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:

    authors: Howe GR

    更新日期:1983-06-01 00:00:00

  • Interval estimates for the ratio of the means of two normal populations with variances related to the means.

    abstract::A procedure is given for estimating the ratio of the means of two populations using the data from two independent random samples when the observations are normally distributed with population variances that are related to the population means. ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Cox CP

    更新日期:1985-03-01 00:00:00

  • Combining multivariate bioassays.

    abstract::Linear multivariate theory is applied to the problem of combining several multivariate bioassays. Results are an asymptotic test of the hypothesis of a common log relative potency; the maximum likelihood estimator of the common log relative potency; and an exact and asymptotic confidence interval estimator for log rel...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Meisner M,Kushner HB,Laska EM

    更新日期:1986-06-01 00:00:00

  • A disequilibrium coefficient approach to Hardy-Weinberg testing.

    abstract::A comparison was made of various tests for Hardy-Weinberg equilibrium, with emphasis on methods for multiple alleles. For an overall test of deviations from equilibrium, the classical chi-square goodness-of-fit test generally performs well, with continuity corrections needed for extreme gene frequencies or extreme dep...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Hernández JL,Weir BS

    更新日期:1989-03-01 00:00:00

  • Statistical analysis of unlabeled point sets: comparing molecules in chemoinformatics.

    abstract::We consider Bayesian methodology for comparing two or more unlabeled point sets. Application of the technique to a set of steroid molecules illustrates its potential utility involving the comparison of molecules in chemoinformatics and bioinformatics. We initially match a pair of molecules, where one molecule is regar...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00622.x

    authors: Dryden IL,Hirst JD,Melville JL

    更新日期:2007-03-01 00:00:00

  • Testing nonlinear regression parameters under heteroscedastic, normally distributed errors.

    abstract::Likelihood ratio tests for parameters estimated assuming normally distributed errors are examined under a variety of homoscedastic and heteroscedastic variance assumptions. It is assumed that gamma ij, the jth observation from the ith population, is distributed as N[mu(chi ij, beta i), (sigma i mu(chi ij, beta i)theta...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Kimura DK

    更新日期:1990-09-01 00:00:00

  • Estimation and interpretation of heterogeneous vaccine efficacy against recurrent infections.

    abstract::Vaccine-induced protection may not be homogeneous across individuals. It is possible that a vaccine gives complete protection for a portion of individuals, while the rest acquire only incomplete (leaky) protection of varying magnitude. If vaccine efficacy is estimated under wrong assumptions about such individual leve...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12473

    authors: Mehtälä J,Dagan R,Auranen K

    更新日期:2016-09-01 00:00:00

  • Criteria for the validation of surrogate endpoints in randomized experiments.

    abstract::The validation of surrogate endpoints has been studied by Prentice (1989, Statistics in Medicine 8, 431-440) and Freedman, Graubard, and Schatzkin (1992, Statistics in Medicine 11, 167-178). We extended their proposals in the cases where the surrogate and the final endpoints are both binary or normally distributed. Le...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Buyse M,Molenberghs G

    更新日期:1998-09-01 00:00:00

  • Procedures for comparing samples with multiple endpoints.

    abstract::Five procedures are considered for the comparison of two or more multivariate samples. These procedures include a newly proposed nonparametric rank-sum test and a generalized least squares test. Also considered are the following tests: ordinary least squares, Hotelling's T2, and a Bonferroni per-experiment error-rate ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: O'Brien PC

    更新日期:1984-12-01 00:00:00

  • The use of frailty hazard models for unrecognized heterogeneity that interacts with treatment: considerations of efficiency and power.

    abstract::Increasingly, genetic studies of tumors of the same histologic diagnosis are elucidating subtypes that are distinct with respect to clinical endpoints such as response to treatment and survival. This raises concerns about the efficiency of using the simple log-rank test for analysis of treatment effect on survival in ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2002.00232.x

    authors: Li Y,Betensky RA,Louis DN,Cairncross JG

    更新日期:2002-03-01 00:00:00

  • A two-stage stepwise estimation procedure.

    abstract::This article proposes a two-stage simultaneous confidence procedure for the comparisons of k pairs of population means, without using multiplicity adjustment of more than two populations. The proposed procedure can be broadly applied to parametric or nonparametric models. It is robust and versatile because its derivat...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00902.x

    authors: Chen JT

    更新日期:2008-06-01 00:00:00

  • Two-group Poisson-Dirichlet mixtures for multiple testing.

    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

    authors: Denti F,Guindani M,Leisen F,Lijoi A,Wadsworth WD,Vannucci M

    更新日期:2020-06-14 00:00:00

  • Model selection and inference for censored lifetime medical expenditures.

    abstract::Identifying factors associated with increased medical cost is important for many micro- and macro-institutions, including the national economy and public health, insurers and the insured. However, assembling comprehensive national databases that include both the cost and individual-level predictors can prove challengi...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12464

    authors: Johnson BA,Long Q,Huang Y,Chansky K,Redman M

    更新日期:2016-09-01 00:00:00

  • Exact two-sample inference with missing data.

    abstract::When comparing follow-up measurements from two independent populations, missing records may arise due to censoring by events whose occurrence is associated with baseline covariates. In these situations, inferences based only on the completely followed observations may be biased if the follow-up measurements and the co...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2005.00332.x

    authors: Cheung YK

    更新日期:2005-06-01 00:00:00