Statistical methods in ophthalmology: an adjusted chi-square approach.

Abstract:

:Ophthalmologic studies often compare several groups of subjects for the presence or absence of some ocular finding, where each subject may contribute two eyes to the analysis, the values from the two eyes being highly correlated. Rosner (1982, Biometrics 38, 105-114) and Dallal (1988, Biometrics 44, 253-257) proposed procedures for testing whether the proportion of affected eyes is the same among the different groups, while accounting for the intrasubject correlation. In this paper we propose an alternative approach, based on a simple adjustment of the standard Pearson chi-square test for the equality of proportions. The suggested approach utilizes information on subjects who supply only one eye to the analysis, and readily generalizes to studies in which more than two units of analysis are provided by each subject.

journal_name

Biometrics

journal_title

Biometrics

authors

Donner A

subject

Has Abstract

pub_date

1989-06-01 00:00:00

pages

605-11

issue

2

eissn

0006-341X

issn

1541-0420

journal_volume

45

pub_type

杂志文章
  • 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

  • Cox regression model with doubly truncated data.

    abstract::Truncation is a well-known phenomenon that may be present in observational studies of time-to-event data. While many methods exist to adjust for either left or right truncation, there are very few methods that adjust for simultaneous left and right truncation, also known as double truncation. We propose a Cox regressi...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12809

    authors: Rennert L,Xie SX

    更新日期:2018-06-01 00:00:00

  • Procedures for comparing samples with multiple endpoints.

    abstract::Five procedures are considered for the comparison of two or more multivariate samples. These procedures include a newly proposed nonparametric rank-sum test and a generalized least squares test. Also considered are the following tests: ordinary least squares, Hotelling's T2, and a Bonferroni per-experiment error-rate ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: O'Brien PC

    更新日期:1984-12-01 00:00:00

  • Fitting nonlinear and constrained generalized estimating equations with optimization software.

    abstract::In this article, we present an estimation approach for solving nonlinear constrained generalized estimating equations that can be implemented using object-oriented software for nonlinear programming, such as nlminb in Splus or fmincon and lsqnonlin in Matlab. We show how standard estimating equation theory includes th...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2000.01268.x

    authors: Contreras M,Ryan LM

    更新日期:2000-12-01 00:00:00

  • Order-restricted tests for stratified comparisons of binomial proportions.

    abstract::The data set presented relates a binomial response to ordered levels of an explanatory variable, representing doses of a drug, with data collected at several centers. A study goal is to test independence of the response and the ordinal factor, assuming under the alternative only that the binomial parameter is a monoto...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Agresti A,Coull BA

    更新日期:1996-09-01 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

  • Prediction approaches to sequentially searching for an optimal dose.

    abstract::The search for an optimal dose of a drug has been investigated in a sequential setting to ensure the safety level by Eichhorn and Zacks (1973, Journal of the American Statistical Association 68, 594-598; 1981, Communications in Statistics--Theory and Methods A10, 931-953), Eichhorn (1974, Communications in Statistics ...

    journal_title:Biometrics

    pub_type: 临床试验,杂志文章

    doi:

    authors: Shih WJ

    更新日期:1989-06-01 00:00:00

  • Ranked set sampling with unequal samples.

    abstract::A ranked set sampling procedure with unequal samples (RSSU) is proposed and used to estimate the population mean. This estimator is then compared with the estimators based on the ranked set sampling (RSS) and median ranked set sampling (MRSS) procedures. It is shown that the relative precisions of the estimator based ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.00957.x

    authors: Bhoj DS

    更新日期:2001-09-01 00:00:00

  • Catch estimation with restricted randomization in the effort survey.

    abstract::One common method for estimating total catch is to multiply an estimate for CPUE, the catch per unit effort, by an estimate of total effort obtained from an independent second survey. In general, estimating total effort requires that sample times are chosen at random over the full fishing period; however, in practice,...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.00461.x

    authors: Dauk PC,Schwarz CJ

    更新日期:2001-06-01 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

  • 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

  • Criteria for the validation of surrogate endpoints in randomized experiments.

    abstract::The validation of surrogate endpoints has been studied by Prentice (1989, Statistics in Medicine 8, 431-440) and Freedman, Graubard, and Schatzkin (1992, Statistics in Medicine 11, 167-178). We extended their proposals in the cases where the surrogate and the final endpoints are both binary or normally distributed. Le...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Buyse M,Molenberghs G

    更新日期:1998-09-01 00:00:00

  • An adaptive weighted log-rank test with application to cancer prevention and screening trials.

    abstract::A class of adaptive weighted log-rank statistics is described where the vector of weights is chosen in a data-dependent way from a family of "smooth" weight vectors. A parametric family of weight vectors is identified which includes most shapes of weighting vectors that will be near optimal in many cancer prevention a...

    journal_title:Biometrics

    pub_type: 临床试验,杂志文章,随机对照试验

    doi:

    authors: Self SG

    更新日期:1991-09-01 00:00:00

  • A note on case-control sampling to estimate kappa coefficients.

    abstract::The feasibility and cost-effectiveness of estimation of kappa using a case-control method of sampling, proposed by Jannarone, Macera, and Garrison (1987, Biometrics 43, 433-437), is provided support. However, in this article unrealistic assumptions in their presentation are identified and more general results for more...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Kraemer HC,Bloch DA

    更新日期:1990-03-01 00:00:00

  • A pairwise pseudo-likelihood approach for left-truncated and interval-censored data under the Cox model.

    abstract::Left truncation commonly occurs in many areas, and many methods have been proposed in the literature for the analysis of various types of left-truncated failure time data. For the situation, a common approach is to conduct the analysis conditional on truncation times, and the method is relatively simple but may not be...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13394

    authors: Wang P,Li D,Sun J

    更新日期:2020-10-15 00:00:00

  • Binary regression analysis with pooled exposure measurements: a regression calibration approach.

    abstract::It has become increasingly common in epidemiological studies to pool specimens across subjects to achieve accurate quantitation of biomarkers and certain environmental chemicals. In this article, we consider the problem of fitting a binary regression model when an important exposure is subject to pooling. We take a re...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2010.01464.x

    authors: Zhang Z,Albert PS

    更新日期:2011-06-01 00:00:00

  • Gene-trait similarity regression for multimarker-based association analysis.

    abstract::We propose a similarity-based regression method to detect associations between traits and multimarker genotypes. The model regresses similarity in traits for pairs of "unrelated" individuals on their haplotype similarities, and detects the significance by a score test for which the limiting distribution is derived. Th...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01176.x

    authors: Tzeng JY,Zhang D,Chang SM,Thomas DC,Davidian M

    更新日期:2009-09-01 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

  • Valid inference in random effects meta-analysis.

    abstract::The standard approach to inference for random effects meta-analysis relies on approximating the null distribution of a test statistic by a standard normal distribution. This approximation is asymptotic on k, the number of studies, and can be substantially in error in medical meta-analyses, which often have only a few ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.00732.x

    authors: Follmann DA,Proschan MA

    更新日期:1999-09-01 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

  • A Markov model for analysing cancer markers and disease states in survival studies.

    abstract::In studies of serial cancer markers or disease states and their relation to survival, data on the marker or state are usually obtained at infrequent time points during follow-up. A Markov model is developed to assess the dependence of risk of death on marker level or disease state and inferences within this model are ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Kay R

    更新日期:1986-12-01 00:00:00

  • 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

  • Multievent: an extension of multistate capture-recapture models to uncertain states.

    abstract::Capture-recapture models were originally developed to account for encounter probabilities that are less than 1 in free-ranging animal populations. Nowadays, these models can deal with the movement of animals between different locations and are also used to study transitions between different states. However, their use...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2005.00318.x

    authors: Pradel R

    更新日期:2005-06-01 00:00:00

  • A spatial Bayesian latent factor model for image-on-image regression.

    abstract::Image-on-image regression analysis, using images to predict images, is a challenging task, due to (1) the high dimensionality and (2) the complex spatial dependence structures in image predictors and image outcomes. In this work, we propose a novel image-on-image regression model, by extending a spatial Bayesian laten...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13420

    authors: Guo C,Kang J,Johnson TD

    更新日期:2020-12-27 00:00:00

  • Two-stage designs for gene-disease association studies with sample size constraints.

    abstract::Gene-disease association studies based on case-control designs may often be used to identify candidate polymorphisms (markers) conferring disease risk. If a large number of markers are studied, genotyping all markers on all samples is inefficient in resource utilization. Here, we propose an alternative two-stage metho...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341X.2004.00207.x

    authors: Satagopan JM,Venkatraman ES,Begg CB

    更新日期:2004-09-01 00:00:00

  • Mixture models for estimating the size of a closed population when capture rates vary among individuals.

    abstract::We develop a parameterization of the beta-binomial mixture that provides sensible inferences about the size of a closed population when probabilities of capture or detection vary among individuals. Three classes of mixture models (beta-binomial, logistic-normal, and latent-class) are fitted to recaptures of snowshoe h...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/1541-0420.00042

    authors: Dorazio RM,Royle JA

    更新日期:2003-06-01 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

  • Relative risk trees for censored survival data.

    abstract::A method is developed for obtaining tree-structured relative risk estimates for censored survival data. The first step of a full likelihood estimation procedure is used in a recursive partitioning algorithm that adopts most aspects of the widely used Classification and Regression Tree (CART) algorithm of Breiman et al...

    journal_title:Biometrics

    pub_type: 临床试验,杂志文章,随机对照试验

    doi:

    authors: LeBlanc M,Crowley J

    更新日期:1992-06-01 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

  • 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