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 rates. The method had several desirable features, including the ability to handle complex experimental designs, to incorporate auxiliary data (that may be related to the likelihood of reporting), to test the contribution of model terms, and to generate point estimates and associated standard errors.

journal_name

Biometrics

journal_title

Biometrics

authors

Hilsenbeck SG,Kurucz C,Duncan RC

subject

Has Abstract

pub_date

1992-12-01 00:00:00

pages

1249-62

issue

4

eissn

0006-341X

issn

1541-0420

journal_volume

48

pub_type

杂志文章
  • 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

  • Nonparametric estimation of ROC curves in the absence of a gold standard.

    abstract::In the evaluation of diagnostic accuracy of tests, a gold standard on the disease status is required. However, in many complex diseases, it is impossible or unethical to obtain such a gold standard. If an imperfect standard is used, the estimated accuracy of the tests would be biased. This type of bias is called imper...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2005.00324.x

    authors: Zhou XH,Castelluccio P,Zhou C

    更新日期:2005-06-01 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 simple method for the analysis of clustered binary data.

    abstract::A simple method for comparing independent groups of clustered binary data with group-specific covariates is proposed. It is based on the concepts of design effect and effective sample size widely used in sample surveys, and assumes no specific models for the intracluster correlations. It can be implemented using any s...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Rao JN,Scott AJ

    更新日期:1992-06-01 00:00:00

  • The Jolly-Seber model with tag loss.

    abstract::Tag loss in mark-recapture experiments is a violation of one of the Jolly-Seber model assumptions. It causes bias in parameter estimates and has only been dealt with in an ad hoc manner. We develop methodology to estimate tag retention and abundance in double-tagging mark-recapture experiments. We apply this methodolo...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00523.x

    authors: Cowen L,Schwarz CJ

    更新日期:2006-09-01 00:00:00

  • A group sequential procedure for all-pairwise comparisons of k treatments based on the range statistic.

    abstract::In this paper, a group sequential procedure for all-private comparisons of the means of k independent normal populations with a common known variance is proposed. A repeated range test is defined and its critical points are tabulated. The power function is studied and minimum group size needed to achieve a desirable p...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Liu W

    更新日期:1995-09-01 00:00:00

  • False discovery rate estimation for frequentist pharmacovigilance signal detection methods.

    abstract::Pharmacovigilance systems aim at early detection of adverse effects of marketed drugs. They maintain large spontaneous reporting databases for which several automatic signaling methods have been developed. One limit of those methods is that the decision rules for the signal generation are based on arbitrary thresholds...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2009.01262.x

    authors: Ahmed I,Dalmasso C,Haramburu F,Thiessard F,Broët P,Tubert-Bitter P

    更新日期:2010-03-01 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

  • 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

  • Joint models for a primary endpoint and multiple longitudinal covariate processes.

    abstract::Joint models are formulated to investigate the association between a primary endpoint and features of multiple longitudinal processes. In particular, the subject-specific random effects in a multivariate linear random-effects model for multiple longitudinal processes are predictors in a generalized linear model for pr...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00822.x

    authors: Li E,Wang N,Wang NY

    更新日期:2007-12-01 00:00:00

  • Optimal Bayesian design for patient selection in a clinical study.

    abstract::Bayesian experimental design for a clinical trial involves specifying a utility function that models the purpose of the trial, in this case the selection of patients for a diagnostic test. The best sample of patients is selected by maximizing expected utility. This optimization task poses difficulties due to a high-di...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01156.x

    authors: Buzoianu M,Kadane JB

    更新日期:2009-09-01 00:00:00

  • Combined maximum likelihood estimates for the equicorrelation coefficient.

    abstract::Combined maximum likelihood estimates for equicorrelation covariance matrices are considered. The case of a common equicorrelation rho and possibly different standard deviations sigma 1, ..., sigma k among k experimental groups is examined first, and the estimation of (rho, sigma 1, ..., sigma k) is discussed. Second,...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Viana MA

    更新日期:1994-09-01 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

  • A new method to explore the distribution of interindividual random effects in non-linear mixed effects models.

    abstract::This article presents a new approach for exploring the distribution of interindividual random effects in nonlinear mixed effect models. The approach introduces a spline function, which transforms an assumed normally distributed interindividual random effect to an arbitrary distribution approximating that of the data. ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Fattinger KE,Sheiner LB,Verotta D

    更新日期:1995-12-01 00:00:00

  • Line-segment confidence bands for repeated measures.

    abstract::For the case of repeated measures on Y with mean values linear in a concomitant variable Z in [a, b], a straight-line confidence band over [a, b] is given with width linear in Z. Graphical presentation of such line-segment confidence bands can help emphasize that appropriate inferences are limited to the range of the ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Stewart PW

    更新日期:1987-09-01 00:00:00

  • Bayesian models for multivariate current status data with informative censoring.

    abstract::Multivariate current status data, consist of indicators of whether each of several events occur by the time of a single examination. Our interest focuses on inferences about the joint distribution of the event times. Conventional methods for analysis of multiple event-time data cannot be used because all of the event ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2002.00079.x

    authors: Dunson DB,Dinse GE

    更新日期:2002-03-01 00:00:00

  • Some statistical methodology for the analysis of HLA data.

    abstract::The estimation of gene frequencies, linkage disequilibrium and disease associations for the human leukocyte antigen (HLA) system is considered. Comprehensive models for HLA data are introduced and contrasted with simpler approaches to the analysis of such data. ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Farewell VT,Dahlberg S

    更新日期:1984-06-01 00:00:00

  • Permutation tests for random effects in linear mixed models.

    abstract::Inference regarding the inclusion or exclusion of random effects in linear mixed models is challenging because the variance components are located on the boundary of their parameter space under the usual null hypothesis. As a result, the asymptotic null distribution of the Wald, score, and likelihood ratio tests will ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01675.x

    authors: Lee OE,Braun TM

    更新日期:2012-06-01 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

  • Logarithmic transformations in ANOVA.

    abstract::A method is presented for choosing an additive constant c when transforming data x to y = log(x + c). The method preserves Type I error probability and power in ANOVA under the assumption that the x + c for some c are log-normally distributed. The method has advantages similar to those of rank transformations--namely,...

    journal_title:Biometrics

    pub_type: 临床试验,杂志文章

    doi:

    authors: Berry DA

    更新日期:1987-06-01 00:00:00

  • Statistical testing of genetic linkage under heterogeneity.

    abstract::Recent advances in human genetics have led to a renewed interest in statistical methods for the detection of linkage from family data--for example, between marker loci and disease traits. Statistical analysis of linkage between two loci is carried out almost exclusively by means of the lod (log-odds) score test, equiv...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Shoukri MM,Lathrop GM

    更新日期:1993-03-01 00:00:00

  • A unifying family of group sequential test designs.

    abstract::Currently, the design of group sequential clinical trials requires choosing among several distinct design categories, design scales, and strategies for determining stopping rules. This approach can limit the design selection process so that clinical issues are not fully addressed. This paper describes a family of desi...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.00874.x

    authors: Kittelson JM,Emerson SS

    更新日期:1999-09-01 00:00:00

  • Basal body temperature, ovulation and the risk of conception, with special reference to the lifetimes of sperm and egg.

    abstract::The risks of conception, due to sexual intercourse at various times before and after the periovulatory rise in the woman's basal body temperature, are evaluated. In general, the risk is small nine or more days before, and two or more days after, the first day of elevated temperature. The model for the conception proba...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Royston JP

    更新日期:1982-06-01 00:00:00

  • A latent model to detect multiple clusters of varying sizes.

    abstract::This article develops a latent model and likelihood-based inference to detect temporal clustering of events. The model mimics typical processes generating the observed data. We apply model selection techniques to determine the number of clusters, and develop likelihood inference and a Monte Carlo expectation-maximizat...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2009.01197.x

    authors: Xie M,Sun Q,Naus J

    更新日期:2009-12-01 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

  • Semiparametric modeling of longitudinal measurements and time-to-event data--a two-stage regression calibration approach.

    abstract:SUMMARY:In this article we investigate regression calibration methods to jointly model longitudinal and survival data using a semiparametric longitudinal model and a proportional hazards model. In the longitudinal model, a biomarker is assumed to follow a semiparametric mixed model where covariate effects are modeled p...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00983.x

    authors: Ye W,Lin X,Taylor JM

    更新日期:2008-12-01 00:00:00

  • Bayesian modeling of multiple episode occurrence and severity with a terminating event.

    abstract::An individual's health condition can affect the frequency and intensity of episodes that can occur repeatedly and that may be related to an event time of interest. For example, bleeding episodes during pregnancy may indicate problems predictive of preterm delivery. Motivated by this application, we propose a joint mod...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00720.x

    authors: Herring AH,Yang J

    更新日期:2007-06-01 00:00:00

  • Flexible variable selection for recovering sparsity in nonadditive nonparametric models.

    abstract::Variable selection for recovering sparsity in nonadditive and nonparametric models with high-dimensional variables has been challenging. This problem becomes even more difficult due to complications in modeling unknown interaction terms among high-dimensional variables. There is currently no variable selection method ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12518

    authors: Fang Z,Kim I,Schaumont P

    更新日期:2016-12-01 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

  • Prediction of random effects in linear and generalized linear models under model misspecification.

    abstract::Statistical models that include random effects are commonly used to analyze longitudinal and correlated data, often with the assumption that the random effects follow a Gaussian distribution. Via theoretical and numerical calculations and simulation, we investigate the impact of misspecification of this distribution o...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2010.01435.x

    authors: McCulloch CE,Neuhaus JM

    更新日期:2011-03-01 00:00:00