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 the same for all individuals within any cohort. A modification of the Greenwood formula is derived for estimating variances and covariances of the estimates of the marginal survival probabilities. Simulation results show that this formula provides accurate adjustments for within-cohort correlations in finite samples. Comparisons with a nonparametric maximum likelihood estimator indicate negligible loss in efficiency from using simple life-table estimators of marginal survival probabilities that ignore the within-cohort correlations. Data from an angioplasty study where more than one procedure is performed on some patients are used to illustrate this methodology.

journal_name

Biometrics

journal_title

Biometrics

authors

Kang SS,Koehler KJ

subject

Has Abstract

pub_date

1997-09-01 00:00:00

pages

885-99

issue

3

eissn

0006-341X

issn

1541-0420

journal_volume

53

pub_type

杂志文章
  • Interval estimation of the risk ratio between a secondary infection, given a primary infection, and the primary infection.

    abstract::This paper discusses interval estimation of the risk ratio (RR) between a secondary infection, given a primary infection, and the primary infection. Three asymptotic closed-form interval estimators are developed using Wald's test statistic, the logarithmic transformation, and Fieller's theorem. The performance of thes...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Lui KJ

    更新日期:1998-06-01 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

  • Calculating sample size for studies with expected all-or-none nonadherence and selection bias.

    abstract:SUMMARY:We develop sample size formulas for studies aiming to test mean differences between a treatment and control group when all-or-none nonadherence (noncompliance) and selection bias are expected. Recent work by Fay, Halloran, and Follmann (2007, Biometrics 63, 465-474) addressed the increased variances within grou...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01114.x

    authors: Shardell MD,El-Kamary SS

    更新日期:2009-06-01 00:00:00

  • Nonparametric Bayesian covariate-adjusted estimation of the Youden index.

    abstract::A novel nonparametric regression model is developed for evaluating the covariate-specific accuracy of a continuous biological marker. Accurately screening diseased from nondiseased individuals and correctly diagnosing disease stage are critically important to health care on several fronts, including guiding recommenda...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12686

    authors: Inácio de Carvalho V,de Carvalho M,Branscum AJ

    更新日期:2017-12-01 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

  • 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

  • Estimating equations for removal data analysis.

    abstract::We consider the problem of estimating a population size from successive catches taken during a removal experiment and propose two estimating functions approaches, the traditional quasi-likelihood (TQL) approach for dependent observations and the conditional quasi-likelihood (CQL) approach using the conditional mean an...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.01263.x

    authors: Wang YG

    更新日期:1999-12-01 00:00:00

  • Breeding return times and abundance in capture-recapture models.

    abstract::For many long-lived animal species, individuals do not breed every year, and are often not accessible during non-breeding periods. Individuals exhibit site fidelity if they return to the same breeding colony or spawning ground when they breed. If capture and recapture is only possible at the breeding site, temporary e...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12094

    authors: Pledger S,Baker E,Scribner K

    更新日期:2013-12-01 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

  • Cohort case-control design and analysis for clustered failure-time data.

    abstract::Cohort case-control design is an efficient and economical design to study risk factors for disease incidence or mortality in a large cohort. In the last few decades, a variety of cohort case-control designs have been developed and theoretically justified. These designs have been exclusively applied to the analysis of ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2002.00764.x

    authors: Lu SE,Wang MC

    更新日期:2002-12-01 00:00:00

  • Aberrant crypt foci and semiparametric modeling of correlated binary data.

    abstract::Motivated by the spatial modeling of aberrant crypt foci (ACF) in colon carcinogenesis, we consider binary data with probabilities modeled as the sum of a nonparametric mean plus a latent Gaussian spatial process that accounts for short-range dependencies. The mean is modeled in a general way using regression splines....

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00892.x

    authors: Apanasovich TV,Ruppert D,Lupton JR,Popovic N,Turner ND,Chapkin RS,Carroll RJ

    更新日期:2008-06-01 00:00:00

  • Approximate Bayesian inference for discretely observed continuous-time multi-state models.

    abstract::Inference for continuous time multi-state models presents considerable computational difficulties when the process is only observed at discrete time points with no additional information about the state transitions. In fact, for general multi-state Markov model, evaluation of the likelihood function is possible only v...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13019

    authors: Tancredi A

    更新日期:2019-09-01 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

  • Multiclass linear discriminant analysis with ultrahigh-dimensional features.

    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

    authors: Li Y,Hong HG,Li Y

    更新日期:2019-12-01 00:00:00

  • Characterizing the relationship between HIV-1 genotype and phenotype: prediction-based classification.

    abstract::This paper establishes a framework for understanding the complex relationships between HIV-1 genotypic markers of resistance to antiretroviral drugs and clinical measures of disease progression. A new classification scheme based on the probabilities of how new patients will respond to antiretroviral therapy given the ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2002.00145.x

    authors: Foulkes AS,De GV

    更新日期:2002-03-01 00:00:00

  • Applications of multiple imputation to the analysis of censored regression data.

    abstract::The first part of the article reviews the Data Augmentation algorithm and presents two approximations to the Data Augmentation algorithm for the analysis of missing-data problems: the Poor Man's Data Augmentation algorithm and the Asymptotic Data Augmentation algorithm. These two algorithms are then implemented in the...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Wei GC,Tanner MA

    更新日期:1991-12-01 00:00:00

  • Pooling data for stability studies: testing the equality of batch degradation slopes.

    abstract::Pharmaceutical products are routinely monitored for their stability over time. Stability studies generally consist of a random sample of dosage units (e.g., tablets, capsules, vials) from a batch or several batches placed in a storage room and periodically assayed for their drug content. The degradation of the drug pr...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Ruberg SJ,Stegeman JW

    更新日期:1991-09-01 00:00:00

  • Tests for monotone mean residual life, using randomly censored data.

    abstract::At any age the mean residual life function gives the expected remaining life at that age. Reliabilists and biometricians have found it useful to categorize failure distributions by the monotonicity properties of the mean residual life function. Hollander and Proschan (1975, Biometrika 62, 585-593) have derived tests o...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Chen YY,Hollander M,Langberg NA

    更新日期:1983-03-01 00:00:00

  • 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

  • Prediction in censored survival data: a comparison of the proportional hazards and linear regression models.

    abstract::Although the analysis of censored survival data using the proportional hazards and linear regression models is common, there has been little work examining the ability of these estimators to predict time to failure. This is unfortunate, since a predictive plot illustrating the relationship between time to failure and ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Heller G,Simonoff JS

    更新日期:1992-03-01 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

  • ChIP-chip: data, model, and analysis.

    abstract::ChIP-chip (or ChIP-on-chip) is a technology for isolation and identification of genomic sites occupied by specific DNA-binding proteins in living cells. The ChIP-chip signals can be obtained over the whole genome by tiling arrays, where a peak shape is generally observed around a protein-binding site. In this article,...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00768.x

    authors: Zheng M,Barrera LO,Ren B,Wu YN

    更新日期:2007-09-01 00:00:00

  • Estimating the size of closed populations using inverse multiple-recapture sampling.

    abstract::A log-linear model for estimating the size of a closed population is defined for inverse multiple-recapture sampling with dependent samples. Efficient estimators of the log-linear model parameters and the population size are obtained by the method of minimum chi-square. A chi-square test of the general linear hypothes...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Bonett DG,Woodward JA,Bentler PM

    更新日期:1987-12-01 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

  • 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

  • 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

  • On hierarchical Bayes procedures for predicting simple exponential survival.

    abstract::The situation considered is the prediction of a future observation from a simple exponential survival distribution in a hierarchical Bayes context. It is shown that when the hyperparameters need to be estimated from the data, a sample reuse approach is superior to maximum likelihood and method of moments estimation pr...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Geisser S

    更新日期:1990-03-01 00:00:00

  • A two-stage experimental design for dilution assays.

    abstract::Dilution assays to determine solute concentration have found wide use in biomedical research. Many dilution assays return imprecise concentration estimates because they are only done to orders of magnitude. Previous statistical work has focused on how to design efficient experiments that can return more precise estima...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13032

    authors: Ferguson JM,Miura TA,Miller CR

    更新日期:2019-09-01 00:00:00

  • Marginal analysis of correlated failure time data with informative cluster sizes.

    abstract::We consider modeling correlated survival data when cluster sizes may be informative to the outcome of interest based on a within-cluster resampling (WCR) approach and a weighted score function (WSF) method. We derive the large sample properties for the WCR estimators under the Cox proportional hazards model. We establ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00730.x

    authors: Cong XJ,Yin G,Shen Y

    更新日期:2007-09-01 00:00:00

  • A test of homogeneity of distributions when observations are subject to measurement errors.

    abstract::When the observed data are contaminated with errors, the standard two-sample testing approaches that ignore measurement errors may produce misleading results, including a higher type-I error rate than the nominal level. To tackle this inconsistency, a nonparametric test is proposed for testing equality of two distribu...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13207

    authors: Lee D,Lahiri SN,Sinha S

    更新日期:2020-09-01 00:00:00