The estimation of maternal genetic variances.

Abstract:

:The estimation of maternal genetic variances by a multivariate maximum likelihood method is discussed. As an illustration the method is applied to data on Tribolium using a model based on partitioning the maternal genetic effect into additive and dominance components. An alternative model due to Falconer (1965) is also fitted. The method is applied to designs suggested for estimating maternal variances by Eisen [1967]. Modifications required when parents are selected on their phenotypic values are given.

journal_name

Biometrics

journal_title

Biometrics

authors

Thompson R

subject

Has Abstract

pub_date

1976-12-01 00:00:00

pages

903-17

issue

4

eissn

0006-341X

issn

1541-0420

journal_volume

32

pub_type

杂志文章
  • Bayesian calibration of a stochastic kinetic computer model using multiple data sources.

    abstract::In this article, we describe a Bayesian approach to the calibration of a stochastic computer model of chemical kinetics. As with many applications in the biological sciences, the data available to calibrate the model come from different sources. Furthermore, these data appear to provide somewhat conflicting informatio...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2009.01245.x

    authors: Henderson DA,Boys RJ,Wilkinson DJ

    更新日期:2010-03-01 00:00:00

  • On logit confidence intervals for the odds ratio with small samples.

    abstract::Unless the true association is very strong, simple large-sample confidence intervals for the odds ratio based on the delta method perform well even for small samples. Such intervals include the Woolf logit interval and the related Gart interval based on adding .5 before computing the log odds ratio estimate and its st...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.00597.x

    authors: Agresti A

    更新日期:1999-06-01 00:00:00

  • Capture-recapture when time and behavioral response affect capture probabilities.

    abstract::We consider a capture-recapture model in which capture probabilities vary with time and with behavioral response. Two inference procedures are developed under the assumption that recapture probabilities bear a constant relationship to initial capture probabilities. These two procedures are the maximum likelihood metho...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2000.00427.x

    authors: Chao A,Chu W,Hsu CH

    更新日期:2000-06-01 00:00:00

  • Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules.

    abstract::Precision medicine seeks to provide treatment only if, when, to whom, and at the dose it is needed. Thus, precision medicine is a vehicle by which healthcare can be made both more effective and efficient. Individualized treatment rules operationalize precision medicine as a map from current patient information to a re...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12743

    authors: Butler EL,Laber EB,Davis SM,Kosorok MR

    更新日期:2018-03-01 00:00:00

  • Assessing reproducibility by the within-subject coefficient of variation with random effects models.

    abstract::In this paper we consider the use of within-subject coefficient of variation (WCV) for assessing the reproducibility or reliability of a measurement. Application to assessing reproducibility of biochemical markers for measuring bone turnover is described and the comparison with intraclass correlation is discussed. Bot...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Quan H,Shih WJ

    更新日期:1996-12-01 00:00:00

  • Optimal designs when the variance is a function of the mean.

    abstract::We develop locally D-optimal designs for nonlinear models when the variance of the response is a function of its mean. Using the two-parameter Michaelis-Menten model as an example, we show that the optimal design depends on both the type of heteroscedasticity and the magnitude of the variation. In addition, our result...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.00925.x

    authors: Dette H,Wong WK

    更新日期:1999-09-01 00:00:00

  • A proportional hazards model for multivariate interval-censored failure time data.

    abstract::This paper focuses on the methodology developed for analyzing a multivariate interval-censored data set from an AIDS observational study. A purpose of the study was to determine the natural history of the opportunistic infection cytomeglovirus (CMV) in an HIV-infected individual. For this observational study, laborato...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2000.00940.x

    authors: Goggins WB,Finkelstein DM

    更新日期:2000-09-01 00:00:00

  • Joint modeling of progression of HIV resistance mutations measured with uncertainty and failure time data.

    abstract::Development of HIV resistance mutations is a major cause for failure of antiretroviral treatment. This article proposes a method for jointly modeling the processes of viral genetic changes and treatment failure. Because the viral genome is measured with uncertainty, a hidden Markov model is used to fit the viral genet...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00635.x

    authors: Hu C,De Gruttola V

    更新日期:2007-03-01 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

  • Comments about Joint Modeling of Cluster Size and Binary and Continuous Subunit-Specific Outcomes.

    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

    authors: Gueorguieva RV

    更新日期:2005-09-01 00:00:00

  • Robust inference for the stepped wedge design.

    abstract::Stepped wedge designed trials are a type of cluster-randomized study in which the intervention is introduced to each cluster in a random order over time. This design is often used to assess the effect of a new intervention as it is rolled out across a series of clinics or communities. Based on a permutation argument, ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13106

    authors: Hughes JP,Heagerty PJ,Xia F,Ren Y

    更新日期:2020-03-01 00:00:00

  • Selecting factors predictive of heterogeneity in multivariate event time data.

    abstract::In multivariate survival analysis, investigators are often interested in testing for heterogeneity among clusters, both overall and within specific classes. We represent different hypotheses about the heterogeneity structure using a sequence of gamma frailty models, ranging from a null model with no random effects to ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341X.2004.00179.x

    authors: Dunson DB,Chen Z

    更新日期:2004-06-01 00:00:00

  • Semiparametric regression of multidimensional genetic pathway data: least-squares kernel machines and linear mixed models.

    abstract::We consider a semiparametric regression model that relates a normal outcome to covariates and a genetic pathway, where the covariate effects are modeled parametrically and the pathway effect of multiple gene expressions is modeled parametrically or nonparametrically using least-squares kernel machines (LSKMs). This un...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00799.x

    authors: Liu D,Lin X,Ghosh D

    更新日期:2007-12-01 00:00:00

  • A multi-source adaptive platform design for testing sequential combinatorial therapeutic strategies.

    abstract::Traditional paradigms for clinical translation are challenged in settings where multiple contemporaneous therapeutic strategies have been identified as potentially beneficial. Platform trials have emerged as an approach for sequentially comparing multiple trials using a single protocol. The Ebola virus disease outbrea...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12841

    authors: Kaizer AM,Hobbs BP,Koopmeiners JS

    更新日期:2018-09-01 00:00:00

  • A method for estimating incidence rates of onchocerciasis from skin-snip biopsies with consideration of false negatives.

    abstract::The aim of this study is to estimate incidence rates of onchocerciasis from skin-snip biopsies, based on incomplete data obtained in field surveys, with consideration of false negatives. The method of maximum likelihood is employed and the effect of false negatives on the incidence rates is discussed. ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Yanagawa T,Kasagi F,Yoshimura T

    更新日期:1984-06-01 00:00:00

  • Estimation of completeness and adjustment of age-specific and age-standardized incidence rates.

    abstract::This note discusses the use of capture-mark-recapture methods and log-linear, linear, product models for incomplete tables (Espeland, 1986, Communications in Statistics--Simulation and Computing 15, 405-424) to estimate completeness of reporting in a disease registry and to estimate incompleteness-adjusted incidence r...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Hilsenbeck SG,Kurucz C,Duncan RC

    更新日期:1992-12-01 00:00:00

  • A network-based analysis of the 1861 Hagelloch measles data.

    abstract::In this article, we demonstrate a statistical method for fitting the parameters of a sophisticated network and epidemic model to disease data. The pattern of contacts between hosts is described by a class of dyadic independence exponential-family random graph models (ERGMs), whereas the transmission process that runs ...

    journal_title:Biometrics

    pub_type: 历史文章,杂志文章

    doi:10.1111/j.1541-0420.2012.01748.x

    authors: Groendyke C,Welch D,Hunter DR

    更新日期:2012-09-01 00:00:00

  • Feature-specific penalized latent class analysis for genomic data.

    abstract::Genomic data are often characterized by a moderate to large number of categorical variables observed for relatively few subjects. Some of the variables may be missing or noninformative. An example of such data is loss of heterozygosity (LOH), a dichotomous variable, observed on a moderate number of genetic markers. We...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00566.x

    authors: Houseman EA,Coull BA,Betensky RA

    更新日期:2006-12-01 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

  • A Bayesian hidden Markov model for detecting differentially methylated regions.

    abstract::Alterations in DNA methylation have been linked to the development and progression of many diseases. The bisulfite sequencing technique presents methylation profiles at base resolution. Count data on methylated and unmethylated reads provide information on the methylation level at each CpG site. As more bisulfite sequ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13000

    authors: Ji T

    更新日期:2019-06-01 00:00:00

  • Doubly robust estimator for net survival rate in analyses of cancer registry data.

    abstract::Cancer population studies based on cancer registry databases are widely conducted to address various research questions. In general, cancer registry databases do not collect information on cause of death. The net survival rate is defined as the survival rate if a subject would not die for any causes other than cancer....

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12568

    authors: Komukai S,Hattori S

    更新日期:2017-03-01 00:00:00

  • Efficient regression analysis with ranked-set sampling.

    abstract::This article is motivated by a lung cancer study where a regression model is involved and the response variable is too expensive to measure but the predictor variable can be measured easily with relatively negligible cost. This situation occurs quite often in medical studies, quantitative genetics, and ecological and ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341X.2004.00255.x

    authors: Chen Z,Wang YG

    更新日期:2004-12-01 00:00:00

  • Connecting the latent multinomial.

    abstract::Link et al. (2010, Biometrics 66, 178-185) define a general framework for analyzing capture-recapture data with potential misidentifications. In this framework, the observed vector of counts, y, is considered as a linear function of a vector of latent counts, x, such that y=Ax, with x assumed to follow a multinomial d...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12333

    authors: Schofield MR,Bonner SJ

    更新日期:2015-12-01 00:00:00

  • Semiparametric estimation of the covariate-specific ROC curve in presence of ignorable verification bias.

    abstract::Covariate-specific receiver operating characteristic (ROC) curves are often used to evaluate the classification accuracy of a medical diagnostic test or a biomarker, when the accuracy of the test is associated with certain covariates. In many large-scale screening tests, the gold standard is subject to missingness due...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01562.x

    authors: Liu D,Zhou XH

    更新日期:2011-09-01 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

  • Comparison of different methods for decision-making in bioequivalence assessment.

    abstract::If the regulatory requirements are symmetrical, the use of symmetrical confidence intervals as a decision rule for bioequivalence assessment leads, as shown by simulations, to better level properties and an inferior power compared to a rule based on shortest confidence intervals. A choice between these two approaches ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Mandallaz D,Mau J

    更新日期:1981-06-01 00:00:00

  • Model selection for G-estimation of dynamic treatment regimes.

    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

    authors: Wallace MP,Moodie EEM,Stephens DA

    更新日期:2019-12-01 00:00:00

  • A proposal for a goodness-of-fit test to the Arnason-Schwarz multisite capture-recapture model.

    abstract::In an analysis of capture-recapture data, the identification of a model that fits is a critical step. For the multisite (also called multistate) models used to analyze data gathered at several sites, no reliable test for assessing fit is currently available. We propose a test for the JMV model, a simple generalization...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/1541-0420.00006

    authors: Pradel R,Wintrebert CM,Gimenez O

    更新日期:2003-03-01 00:00:00

  • A mixture model for quantum dot images of kinesin motor assays.

    abstract::We introduce a nearly automatic procedure to locate and count the quantum dots in images of kinesin motor assays. Our procedure employs an approximate likelihood estimator based on a two-component mixture model for the image data; the first component has a normal distribution, and the other component is distributed as...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2010.01467.x

    authors: Hughes J,Fricks J

    更新日期:2011-06-01 00:00:00

  • Modeling of time trends and interactions in vital rates using restricted regression splines.

    abstract::For the analysis of time trends in incidence and mortality rates, the age-period-cohort (apc) model has became a widely accepted method. The considered data are arranged in a two-way table by age group and calendar period, which are mostly subdivided into 5- or 10-year intervals. The disadvantage of this approach is t...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Heuer C

    更新日期:1997-03-01 00:00:00