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 probability of causation depends both on the unknown mechanisms by which exposure affects disease risk and competing risks, and on the unknown degree of heterogeneity in the background disease risk of the exposed population. We derive the maximum and minimum values for the probability of causation consistent with the observable population quantities. We also derive the relationship of the "assigned share" (excess incidence rate as a proportion of total incidence rate) to the probability of causation.

journal_name

Biometrics

journal_title

Biometrics

authors

Robins J,Greenland S

subject

Has Abstract

pub_date

1989-12-01 00:00:00

pages

1125-38

issue

4

eissn

0006-341X

issn

1541-0420

journal_volume

45

pub_type

杂志文章
  • Bayesian semiparametric models for survival data with a cure fraction.

    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

    authors: Ibrahim JG,Chen MH,Sinha D

    更新日期:2001-06-01 00:00:00

  • Modeling longitudinal data with nonparametric multiplicative random effects jointly with survival data.

    abstract::In clinical studies, longitudinal biomarkers are often used to monitor disease progression and failure time. Joint modeling of longitudinal and survival data has certain advantages and has emerged as an effective way to mutually enhance information. Typically, a parametric longitudinal model is assumed to facilitate t...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00896.x

    authors: Ding J,Wang JL

    更新日期:2008-06-01 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

  • 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

  • Asynchronous distance between homologous DNA sequences.

    abstract::The distance between homologous DNA sequences of two species is proposed to be -1/4 ln[det(P)], where P is the conditional probability matrix specifying the proportions of the various nucleotides in the second sequence, corresponding to each of the four nucleotides in the first sequence. A probability model is describ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Barry D,Hartigan JA

    更新日期:1987-06-01 00:00:00

  • Statistical analysis of multilocus recombination.

    abstract::A general formula for the frequency of different recombinant gamete types, in terms of the underlying distribution of crossovers, is derived. This formula may be applied to any theoretical model of recombination in which it is assumed that there is no chromatid interference. Multiple-locus recombination data may be ev...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Risch N,Lange K

    更新日期:1983-12-01 00:00:00

  • Nonparametric discrete survival function estimation with uncertain endpoints using an internal validation subsample.

    abstract::When a true survival endpoint cannot be assessed for some subjects, an alternative endpoint that measures the true endpoint with error may be collected, which often occurs when obtaining the true endpoint is too invasive or costly. We develop an estimated likelihood function for the situation where we have both uncert...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12316

    authors: Zee J,Xie SX

    更新日期:2015-09-01 00:00:00

  • Further aspects of a Markovian sampling policy for water quality monitoring.

    abstract::In this paper, a Markov process is developed as a mathematical model to study the general problem of quality control monitoring. This approach was previously used by Arnold (1970) in development of sampling plans to study the water quality monitoring of streams. Arnold considered the expected sample size required for ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Smeach SC,Jernigan RW

    更新日期:1977-03-01 00:00:00

  • Using empirical likelihood to combine data: application to food risk assessment.

    abstract::This article introduces an original methodology based on empirical likelihood, which aims at combining different food contamination and consumption surveys to provide risk managers with a risk measure, taking into account all the available information. This risk index is defined as the probability that exposure to a c...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01051.x

    authors: Crépet A,Harari-Kermadec H,Tressou J

    更新日期:2009-03-01 00:00:00

  • Bayesian inference for the causal effect of mediation.

    abstract::We propose a nonparametric Bayesian approach to estimate the natural direct and indirect effects through a mediator in the setting of a continuous mediator and a binary response. Several conditional independence assumptions are introduced (with corresponding sensitivity parameters) to make these effects identifiable f...

    journal_title:Biometrics

    pub_type: 杂志文章,随机对照试验

    doi:10.1111/j.1541-0420.2012.01781.x

    authors: Daniels MJ,Roy JA,Kim C,Hogan JW,Perri MG

    更新日期:2012-12-01 00:00:00

  • Multi-subgroup gene screening using semi-parametric hierarchical mixture models and the optimal discovery procedure: Application to a randomized clinical trial in multiple myeloma.

    abstract::This article proposes an efficient approach to screening genes associated with a phenotypic variable of interest in genomic studies with subgroups. In order to capture and detect various association profiles across subgroups, we flexibly estimate the underlying effect size distribution across subgroups using a semi-pa...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12716

    authors: Matsui S,Noma H,Qu P,Sakai Y,Matsui K,Heuck C,Crowley J

    更新日期:2018-03-01 00:00:00

  • Multistage index selection in finite populations.

    abstract::Multistage selection with fixed proportions and selection indices based on covariates of the target variable is studied. Assuming a multivariate normal distribution before the selection, expressions are presented for the expectation and the variance of the target variable in the retained subpopulation. As the numerica...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Norell L,Arnason T,Hugason K

    更新日期:1991-03-01 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

  • Growth curve models of repeated binary response.

    abstract::Experimental designs that include repeated measures of binary response variables over time and under different conditions are common in biology. In such settings, it is often desirable to characterize the response pattern over time. When response variables are continuous, this characterization can be made in terms of ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Stanek EJ 3rd,Diehl SR

    更新日期:1988-12-01 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 general methodology for the analysis of experiments with repeated measurement of categorical data.

    abstract::This paper is concerned with the analysis of multivariate categorical data which are obtained from repeated measurement experiments. An expository discussion of pertinent hypotheses for such situations is given, and appropriate test statistics are developed through the application of weighted least squares methods. Sp...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Koch GG,Landis JR,Freeman JL,Freeman DH Jr,Lehnen RC

    更新日期:1977-03-01 00:00:00

  • Bayesian dose-finding in phase I/II clinical trials using toxicity and efficacy odds ratios.

    abstract::A Bayesian adaptive design is proposed for dose-finding in phase I/II clinical trials to incorporate the bivariate outcomes, toxicity and efficacy, of a new treatment. Without specifying any parametric functional form for the drug dose-response curve, we jointly model the bivariate binary data to account for the corre...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00534.x

    authors: Yin G,Li Y,Ji Y

    更新日期:2006-09-01 00:00:00

  • Optimally weighted L(2) distance for functional data.

    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

    authors: Chen H,Reiss PT,Tarpey T

    更新日期:2014-09-01 00:00:00

  • Confidence intervals following group sequential tests in clinical trials.

    abstract::Tsiatis, Rosner, and Mehta (1984, Biometrics 40, 797-803) proposed a procedure for constructing confidence intervals following group sequential tests of a normal mean. This method is first extended for group sequential tests for which the sample sizes between interim analyses are not identical or the times are not equ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Kim K,DeMets DL

    更新日期:1987-12-01 00:00:00

  • Ultra high-dimensional semiparametric longitudinal data analysis.

    abstract::As ultra high-dimensional longitudinal data are becoming ever more apparent in fields such as public health and bioinformatics, developing flexible methods with a sparse model is of high interest. In this setting, the dimension of the covariates can potentially grow exponentially as ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13348

    authors: Green B,Lian H,Yu Y,Zu T

    更新日期:2020-08-04 00:00:00

  • Biased and unbiased estimation in longitudinal studies with informative visit processes.

    abstract::The availability of data in longitudinal studies is often driven by features of the characteristics being studied. For example, clinical databases are increasingly being used for research to address longitudinal questions. Because visit times in such data are often driven by patient characteristics that may be related...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12501

    authors: McCulloch CE,Neuhaus JM,Olin RL

    更新日期:2016-12-01 00:00:00

  • Nonparametric estimation of relative mortality from nested case-control studies.

    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:

    authors: Borgan O,Langholz B

    更新日期:1993-06-01 00:00:00

  • Nonparametric functional mapping of quantitative trait loci.

    abstract::Functional mapping is a useful tool for mapping quantitative trait loci (QTL) that control dynamic traits. It incorporates mathematical aspects of biological processes into the mixture model-based likelihood setting for QTL mapping, thus increasing the power of QTL detection and the precision of parameter estimation. ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01063.x

    authors: Yang J,Wu R,Casella G

    更新日期:2009-03-01 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

  • 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

  • Symmetrically dependent models arising in visual assessment data.

    abstract::Given data from bilateral visual assessments on N subjects at k occasions, we consider inference for contralateral correlations (C) between fellow eyes and lateral correlations (L) among p different assessments of the same eye. Under permutation symmetric dependence structure between observations from fellow eyes and ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2000.01188.x

    authors: Viana M,Olkin I

    更新日期:2000-12-01 00:00:00

  • Multilist population estimation with incomplete and partial stratification.

    abstract::Multilist capture-recapture methods are commonly used to estimate the size of elusive populations. In many situations, lists are stratified by distinguishing features, such as age or sex. Stratification has often been used to reduce biases caused by heterogeneity in the probability of list membership among members of ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00767.x

    authors: Sutherland JM,Schwarz CJ,Rivest LP

    更新日期:2007-09-01 00:00:00

  • The analysis of pair-matched case-control studies, a multivariate approach.

    abstract::In matched case-control studies one frequently must consider more than one variable in the analysis and in this paper a log-linear model is presented to meet this objective. A conditional argument yields a method for making inferences on the parameters measuring the association between the variables and disease. The r...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Holford TR

    更新日期:1978-12-01 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

  • Functional multiple indicators, multiple causes measurement error models.

    abstract::Objective measures of oxygen consumption and carbon dioxide production by mammals are used to predict their energy expenditure. Since energy expenditure is not directly observable, it can be viewed as a latent construct with multiple physical indirect measures such as respiratory quotient, volumetric oxygen consumptio...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12706

    authors: Tekwe CD,Zoh RS,Bazer FW,Wu G,Carroll RJ

    更新日期:2018-03-01 00:00:00