A general noninteractive multiple toxicity model including probit, logit, and Weibull transformations.

Abstract:

:A multiple toxicity model for the quantal response of organisms is constructed based on an existing bivariate theory. The main assumption is that the tolerances follow a multivariate normal distribution function. However, any monotone tolerance distribution can be applied by mapping the integration region in the n-dimensional space of transforms on the n-dimensional space of normal equivalent deviates. General requirements to noninteractive bivariate tolerance distributions are discussed, and it is shown that bivariate logit and Weibull distributions, constructed according to the mapping procedure, meet these criteria. The univariate Weibull dose-response model is given a novel interpretation in terms of reactions between toxicant molecules and a hypothetical key receptor of the organism. The application of the multiple toxicity model is demonstrated using literature data for the action of gamma-benzene hexachloride and pyrethrins on flour beetles (Tribolium castaneum). Nonnormal tolerance distributions are needed when the mortality data include extreme response probabilities.

journal_name

Biometrics

journal_title

Biometrics

authors

Christensen ER,Chen CY

subject

Has Abstract

pub_date

1985-09-01 00:00:00

pages

711-25

issue

3

eissn

0006-341X

issn

1541-0420

journal_volume

41

pub_type

杂志文章
  • A generalized estimating equation approach for modeling random length binary vector data.

    abstract::A common measure in clinical trials and epidemiologic studies is the number of events such as seizures, hospitalizations, or bouts of disease. Frequently, a binary measure of severity for each event is available but is not incorporated in the analysis. This paper proposes methodology for jointly modeling the number of...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Albert PS,Follmann DA,Barnhart HX

    更新日期:1997-09-01 00:00:00

  • Hierarchical Bayes estimation of hunting success rates with spatial correlations.

    abstract::A Bayesian hierarchical generalized linear model is used to estimate hunting success rates at the subarea level for postseason harvest surveys. The model includes fixed week effects, random geographic effects, and spatial correlations between neighboring subareas. The computation is done by Gibbs sampling and adaptive...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2000.00360.x

    authors: He Z,Sun D

    更新日期:2000-06-01 00:00:00

  • Maximum likelihood estimation in dynamical models of HIV.

    abstract::The study of dynamical models of HIV infection, based on a system of nonlinear ordinary differential equations (ODE), has considerably improved the knowledge of its pathogenesis. While the first models used simplified ODE systems and analyzed each patient separately, recent works dealt with inference in non-simplified...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00812.x

    authors: Guedj J,Thiébaut R,Commenges D

    更新日期:2007-12-01 00:00:00

  • Time series models based on generalized linear models: some further results.

    abstract::This paper considers the problem of extending the classical moving average models to time series with conditional distributions given by generalized linear models. These models have the advantage of easy construction and estimation. Statistical modelling techniques are also proposed. Some simulation results and an ill...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Li WK

    更新日期:1994-06-01 00:00:00

  • Real-time individual predictions of prostate cancer recurrence using joint models.

    abstract::Patients who were previously treated for prostate cancer with radiation therapy are monitored at regular intervals using a laboratory test called Prostate Specific Antigen (PSA). If the value of the PSA test starts to rise, this is an indication that the prostate cancer is more likely to recur, and the patient may wis...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2012.01823.x

    authors: Taylor JM,Park Y,Ankerst DP,Proust-Lima C,Williams S,Kestin L,Bae K,Pickles T,Sandler H

    更新日期:2013-03-01 00:00:00

  • Semiparametric modelling and estimation of covariate-adjusted dependence between bivariate recurrent events.

    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

    authors: Ning J,Cai C,Chen Y,Huang X,Wang MC

    更新日期:2020-12-01 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

  • Likelihood ratio tests for a dose-response effect using multiple nonlinear regression models.

    abstract::We consider the problem of testing for a dose-related effect based on a candidate set of (typically nonlinear) dose-response models using likelihood-ratio tests. For the considered models this reduces to assessing whether the slope parameter in these nonlinear regression models is zero or not. A technical problem is t...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12563

    authors: Gutjahr G,Bornkamp B

    更新日期:2017-03-01 00:00:00

  • Multivariate bioassay, combination of bioassays, and Fieller's theorem.

    abstract::In this paper alternative methods for estimating the relative potency, its confidence intervals, and testing for proportionality are developed for multivariate bioassays. The test and estimate are based on the smaller characteristic root and the corresponding characteristic vector of a 2 X 2 matrix. The same idea is a...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Srivastava MS

    更新日期:1986-03-01 00:00:00

  • Regional spatial modeling of topsoil geochemistry.

    abstract::Geographic information about the levels of toxics in environmental media is commonly used in regional environmental health studies when direct measurements of personal exposure is limited or unavailable. In this article, we propose a statistical framework for analyzing the spatial distribution of topsoil geochemical p...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01041.x

    authors: Calder CA,Craigmile PF,Zhang J

    更新日期:2009-03-01 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

  • Estimating predictors for long- or short-term survivors.

    abstract::Suppose that the response variable in a well-executed clinical or observational study to evaluate a treatment is the time to a certain event, and a set of baseline covariates or predictors was collected for each study patient. Furthermore, suppose that a significant number of study patients had nontrivial, long-term a...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2003.00116.x

    authors: Tian L,Wang W,Wei LJ

    更新日期:2003-12-01 00:00:00

  • Attributable effects in case2-studies.

    abstract::In an effort to determine whether a particular treatment causes a particular outcome event, data are obtained from a database system that records events when they occur, and for such events, the system records exposure to the treatment. That is, the system records information about cases. The system provides no inform...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341X.2005.030920.x

    authors: Rosenbaum PR

    更新日期:2005-03-01 00:00:00

  • A comment on optimal allocations for bioequivalence studies.

    abstract::A method purporting to provide optimal allocations in bioequivalence studies fails to do so on both statistical and practical grounds. Reasons as to why this is so are given. ...

    journal_title:Biometrics

    pub_type: 评论,杂志文章

    doi:10.1111/j.0006-341x.1999.01314.x

    authors: Senn S,Grieve AP

    更新日期:1999-12-01 00:00:00

  • Maximum likelihood estimation for incomplete repeated-measures experiments under an ARMA covariance structure.

    abstract::A stochastic model is presented for the analysis of incomplete repeated-measures experiments. The general linear model is used to relate the response measures to other variables which are thought to account for inherent variation; an autoregressive moving average (ARMA) time series representation is used to model dist...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Rochon J,Helms RW

    更新日期:1989-03-01 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

  • Generalization of the Mantel-Haenszel estimating function for sparse clustered binary data.

    abstract::We extend the Mantel-Haenszel estimating function to estimate both the intra-cluster pairwise correlation and the main effects for sparse clustered binary data. We propose both a composite likelihood approach and an estimating function approach for the analysis of such data. The proposed estimators are consistent and ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2005.00362.x

    authors: Wang M,Williamson JM

    更新日期:2005-12-01 00:00:00

  • Likelihood-ratio tests for hidden Markov models.

    abstract::We consider hidden Markov models as a versatile class of models for weakly dependent random phenomena. The topic of the present paper is likelihood-ratio testing for hidden Markov models, and we show that, under appropriate conditions, the standard asymptotic theory of likelihood-ratio tests is valid. Such tests are c...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2000.00742.x

    authors: Giudici P,Rydén T,Vandekerkhove P

    更新日期:2000-09-01 00:00:00

  • Outlier reduction by an option-3 measurement scheme.

    abstract::Detecting changes in longitudinal data is important in medical research. However, the existence of measurement outliers can cause an unexpected increase in the false alarm rate in claiming changes. To reduce the outliers, a new method has been developed. In this scheme, two measures are initially taken and, if they ar...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Namgung YY,Yang MC

    更新日期:1994-03-01 00:00:00

  • An adaptive independence test for microbiome community data.

    abstract::Advances in sequencing technologies and bioinformatics tools have vastly improved our ability to collect and analyze data from complex microbial communities. A major goal of microbiome studies is to correlate the overall microbiome composition with clinical or environmental variables. La Rosa et al. recently proposed ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13154

    authors: Song Y,Zhao H,Wang T

    更新日期:2020-06-01 00:00:00

  • Asymptotic confidence bands for generalized nonlinear regression models.

    abstract::Asymptotic confidence bands for generalized nonlinear regression models are developed. These are based on a combination of the S method of Scheffe, together with the delta method which is used to approximate the mean function by a linear combination of the parameters. The approach can be used in any situation where la...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Cox C,Ma G

    更新日期:1995-03-01 00:00:00

  • Regression analysis of multivariate grouped survival data.

    abstract::Multivariate failure time data arise when each study subject may experience several types of event or when there are clusterings of observational units such that failure times within the same cluster are correlated. The failure times are often subject to interval grouping or have truly discrete measurements. In this p...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Guo SW,Lin DY

    更新日期:1994-09-01 00:00:00

  • An extension of the Cormack-Jolly-Seber model for continuous covariates with application to Microtus pennsylvanicus.

    abstract::Recent developments in the Cormack-Jolly-Seber (CJS) model for analyzing capture-recapture data have focused on allowing the capture and survival rates to vary between individuals. Several methods have been developed in which capture and survival are functions of auxiliary variables that may be discrete, constant over...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2005.00399.x

    authors: Bonner SJ,Schwarz CJ

    更新日期:2006-03-01 00:00:00

  • The probability of causation under a stochastic model for individual risk.

    abstract::In this paper we offer a mathematical definition for the probability of causation that formalizes the legal and ordinary-language meaning of the term. We show that, under this definition, even the average probability of causation among exposed cases is not identifiable from epidemiologic data. This is because the prob...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Robins J,Greenland S

    更新日期:1989-12-01 00:00:00

  • On the analysis of mixed longitudinal growth data.

    abstract::Mixed longitudinal growth data consists of several observations on a characteristic over a limited age range for each individual in a study. This data is then combined to model growth over the total age range of all individuals in the study. The limited data collected on each individual precludes a subject-specific ap...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Huggins RM,Loesch DZ

    更新日期:1998-06-01 00:00:00

  • A multilevel mixed effects varying coefficient model with multilevel predictors and random effects for modeling hospitalization risk in patients on dialysis.

    abstract::For patients on dialysis, hospitalizations remain a major risk factor for mortality and morbidity. We use data from a large national database, United States Renal Data System, to model time-varying effects of hospitalization risk factors as functions of time since initiation of dialysis. To account for the three-level...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13205

    authors: Li Y,Nguyen DV,Kürüm E,Rhee CM,Chen Y,Kalantar-Zadeh K,Şentürk D

    更新日期:2020-09-01 00:00:00

  • Inference for reaction networks using the linear noise approximation.

    abstract::We consider inference for the reaction rates in discretely observed networks such as those found in models for systems biology, population ecology, and epidemics. Most such networks are neither slow enough nor small enough for inference via the true state-dependent Markov jump process to be feasible. Typically, infere...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12152

    authors: Fearnhead P,Giagos V,Sherlock C

    更新日期:2014-06-01 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

  • Modification of the Greenwood formula for correlated response times.

    abstract::Life-table methodology for interval-censored survival times is used to estimate marginal survival probabilities from data consisting of independent cohorts of correlated responses. We restrict our attention to situations where response times within cohorts are exchangeable and the marginal survival distributions are t...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Kang SS,Koehler KJ

    更新日期:1997-09-01 00:00:00

  • Sequential treatment assignment with balancing for prognostic factors in the controlled clinical trial.

    abstract::In controlled clinical trials there are usually several prognostic factors known or thought to influence the patient's ability to respond to treatment. Therefore, the method of sequential treatment assignment needs to be designed so that treatment balance is simultaneously achieved across all such patients factor. Tra...

    journal_title:Biometrics

    pub_type: 临床试验,杂志文章

    doi:

    authors: Pocock SJ,Simon R

    更新日期:1975-03-01 00:00:00