On logit confidence intervals for the odds ratio with small samples.

Abstract:

:Unless the true association is very strong, simple large-sample confidence intervals for the odds ratio based on the delta method perform well even for small samples. Such intervals include the Woolf logit interval and the related Gart interval based on adding .5 before computing the log odds ratio estimate and its standard error. The Gart interval smooths the observed counts toward the model of equiprobability, but one obtains better coverage probabilities by smoothing toward the independence model and by extending the interval in the appropriate direction when a cell count is zero.

journal_name

Biometrics

journal_title

Biometrics

authors

Agresti A

doi

10.1111/j.0006-341x.1999.00597.x

subject

Has Abstract

pub_date

1999-06-01 00:00:00

pages

597-602

issue

2

eissn

0006-341X

issn

1541-0420

journal_volume

55

pub_type

杂志文章
  • A semiparametric estimate of treatment effects with censored data.

    abstract::A semiparametric estimate of an average regression effect with right-censored failure time data has recently been proposed under the Cox-type model where the regression effect beta(t) is allowed to vary with time. In this article, we derive a simple algebraic relationship between this average regression effect and a m...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.00875.x

    authors: Xu R,Harrington DP

    更新日期:2001-09-01 00:00:00

  • Selecting the smoothing parameter for estimation of slowly changing evoked potential signals.

    abstract::Brain evoked potential (EP) data consist of a true response ("signal") and random background activity ("noise"), which are observed over repeated stimulus presentations ("trials"). A signal that changes slowly from trial to trial can be estimated by smoothing across trials and over time within trials. We present a met...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Raz J,Turetsky B,Fein G

    更新日期:1989-09-01 00:00:00

  • Statistical monitoring of the hand, foot and mouth disease in China.

    abstract::In a period starting around 2007, the Hand, Foot, and Mouth Disease (HFMD) became wide-spreading in China, and the Chinese public health was seriously threatened. To prevent the outbreak of infectious diseases like HFMD, effective disease surveillance systems would be especially helpful to give signals of disease outb...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12301

    authors: Zhang J,Kang Y,Yang Y,Qiu P

    更新日期:2015-09-01 00:00:00

  • Design considerations for efficient and effective microarray studies.

    abstract::This article describes the theoretical and practical issues in experimental design for gene expression microarrays. Specifically, this article 1) discusses the basic principles of design (randomization, replication, and blocking) as they pertain to microarrays, and 2) provides some general guidelines for statisticians...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2003.00096.x

    authors: Kerr MK

    更新日期:2003-12-01 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

  • 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

  • Semiparametric estimation of the covariate-specific ROC curve in presence of ignorable verification bias.

    abstract::Covariate-specific receiver operating characteristic (ROC) curves are often used to evaluate the classification accuracy of a medical diagnostic test or a biomarker, when the accuracy of the test is associated with certain covariates. In many large-scale screening tests, the gold standard is subject to missingness due...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01562.x

    authors: Liu D,Zhou XH

    更新日期:2011-09-01 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

  • Spatial regression with covariate measurement error: A semiparametric approach.

    abstract::Spatial data have become increasingly common in epidemiology and public health research thanks to advances in GIS (Geographic Information Systems) technology. In health research, for example, it is common for epidemiologists to incorporate geographically indexed data into their studies. In practice, however, the spati...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12474

    authors: Huque MH,Bondell HD,Carroll RJ,Ryan LM

    更新日期:2016-09-01 00:00:00

  • Generalized nonlinear models for pharmacokinetic data.

    abstract::Phase I trials to study the pharmacokinetic properties of a new drug generally involve a restricted number of healthy volunteers. Because of the nature of the group involved in such studies, the appropriate distributional assumptions are not always obvious. These model assumptions include the actual distribution but a...

    journal_title:Biometrics

    pub_type: 临床试验,杂志文章

    doi:10.1111/j.0006-341x.2000.00081.x

    authors: Lindsey JK,Byrom WD,Wang J,Jarvis P,Jones B

    更新日期:2000-03-01 00:00:00

  • On the treatment of grouped observations in life studies.

    abstract::Assuming a model of proportional failure rates, Cox (1972) presents a systematic study of the use of covariates in the analysis of life time. The treatment of tied observations is a particularly troublesome point in both theory and application. It appears that grouping rather than discrete time is the right way to han...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Thompson WA Jr

    更新日期:1977-09-01 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

  • A Bayesian goodness of fit test and semiparametric generalization of logistic regression with measurement data.

    abstract::Logistic regression is a popular tool for risk analysis in medical and population health science. With continuous response data, it is common to create a dichotomous outcome for logistic regression analysis by specifying a threshold for positivity. Fitting a linear regression to the nondichotomized response variable a...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12007

    authors: Schörgendorfer A,Branscum AJ,Hanson TE

    更新日期:2013-06-01 00:00:00

  • Sequential construction of multiple-objective optimal designs.

    abstract::We propose a sequential approach for constructing multiple-objective locally optimal designs for nonlinear models. The technique used here is a general one and we demonstrate the added benefits of using a multiple-objective design over a single-objective design with examples from biomedical studies. ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Huang YC,Wong WK

    更新日期:1998-12-01 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

  • A study of deleterious gene structure in plants using Markov chain Monte Carlo.

    abstract::The characteristics of deleterious genes have been of great interest in both theory and practice in genetics. Because of the complex genetic mechanism of these deleterious genes, most current studies try to estimate the overall magnitude of mortality effects on a population, which is characterized classically by the n...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.00376.x

    authors: Lee JK,Lascoux M,Newton MA,Nordheim EV

    更新日期:1999-06-01 00:00:00

  • Bayesian modeling of multiple lesion onset and growth from interval-censored data.

    abstract::In studying rates of occurrence and progression of lesions (or tumors), it is typically not possible to obtain exact onset times for each lesion. Instead, data consist of the number of lesions that reach a detectable size between screening examinations, along with measures of the size/severity of individual lesions at...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341X.2004.00217.x

    authors: Dunson DB,Holloman C,Calder C,Gunn LH

    更新日期:2004-09-01 00:00:00

  • Order-restricted inference for means with missing values.

    abstract::Missing values appear very often in many applications, but the problem of missing values has not received much attention in testing order-restricted alternatives. Under the missing at random (MAR) assumption, we impute the missing values nonparametrically using kernel regression. For data with imputation, the classica...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12658

    authors: Wang H,Zhong PS

    更新日期:2017-09-01 00:00:00

  • A partially linear tree-based regression model for multivariate outcomes.

    abstract::In the genetic study of complex traits, especially behavior related ones, such as smoking and alcoholism, usually several phenotypic measurements are obtained for the description of the complex trait, but no single measurement can quantify fully the complicated characteristics of the symptom because of our lack of und...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2009.01235.x

    authors: Yu K,Wheeler W,Li Q,Bergen AW,Caporaso N,Chatterjee N,Chen J

    更新日期:2010-03-01 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

  • A new criterion for confounder selection.

    abstract::We propose a new criterion for confounder selection when the underlying causal structure is unknown and only limited knowledge is available. We assume all covariates being considered are pretreatment variables and that for each covariate it is known (i) whether the covariate is a cause of treatment, and (ii) whether t...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01619.x

    authors: VanderWeele TJ,Shpitser I

    更新日期:2011-12-01 00:00:00

  • Markov models for covariate dependence of binary sequences.

    abstract::Suppose that a heterogeneous group of individuals is followed over time and that each individual can be in state 0 or state 1 at each time point. The sequence of states is assumed to follow a binary Markov chain. In this paper we model the transition probabilities for the 0 to 0 and 1 to 0 transitions by two logistic ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Muenz LR,Rubinstein LV

    更新日期:1985-03-01 00:00:00

  • Seasonality comparisons among groups using incidence data.

    abstract::A new test using incidence data is developed for testing whether two or more groups have the same seasonal pattern. The method fits sine waves to the data with a fundamental period of one cycle per year, and has the possibility of using higher harmonics, when necessary, to adequately model the data. The seasonal patte...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Jones RH,Ford PM,Hamman RF

    更新日期:1988-12-01 00:00:00

  • Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks.

    abstract::Thanks to the growing interest in personalized medicine, joint modeling of longitudinal marker and time-to-event data has recently started to be used to derive dynamic individual risk predictions. Individual predictions are called dynamic because they are updated when information on the subject's health profile grows ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12232

    authors: Blanche P,Proust-Lima C,Loubère L,Berr C,Dartigues JF,Jacqmin-Gadda H

    更新日期:2015-03-01 00:00:00

  • A model-based approach for making ecological inference from distance sampling data.

    abstract::We consider a fully model-based approach for the analysis of distance sampling data. Distance sampling has been widely used to estimate abundance (or density) of animals or plants in a spatially explicit study area. There is, however, no readily available method of making statistical inference on the relationships bet...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2009.01265.x

    authors: Johnson DS,Laake JL,Ver Hoef JM

    更新日期:2010-03-01 00:00:00

  • Accelerated hazards model based on parametric families generalized with Bernstein polynomials.

    abstract::A transformed Bernstein polynomial that is centered at standard parametric families, such as Weibull or log-logistic, is proposed for use in the accelerated hazards model. This class provides a convenient way towards creating a Bayesian nonparametric prior for smooth densities, blending the merits of parametric and no...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12104

    authors: Chen Y,Hanson T,Zhang J

    更新日期:2014-03-01 00:00:00

  • Optimum experimental designs for properties of a compartmental model.

    abstract::Three properties of interest in bioavailability studies using compartmental models are the area under the concentration curve, the maximum concentration, and the time to maximum concentration. Methods are described for finding designs that minimize the variance of the estimates of these quantities in such a model. The...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Atkinson AC,Chaloner K,Herzberg AM,Juritz J

    更新日期:1993-06-01 00:00:00

  • Dynamic models for estimating the effect of HAART on CD4 in observational studies: Application to the Aquitaine Cohort and the Swiss HIV Cohort Study.

    abstract::Highly active antiretroviral therapy (HAART) has proved efficient in increasing CD4 counts in many randomized clinical trials. Because randomized trials have some limitations (e.g., short duration, highly selected subjects), it is interesting to assess the effect of treatments using observational studies. This is chal...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12564

    authors: Prague M,Commenges D,Gran JM,Ledergerber B,Young J,Furrer H,Thiébaut R

    更新日期:2017-03-01 00:00:00

  • A multi-source adaptive platform design for testing sequential combinatorial therapeutic strategies.

    abstract::Traditional paradigms for clinical translation are challenged in settings where multiple contemporaneous therapeutic strategies have been identified as potentially beneficial. Platform trials have emerged as an approach for sequentially comparing multiple trials using a single protocol. The Ebola virus disease outbrea...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12841

    authors: Kaizer AM,Hobbs BP,Koopmeiners JS

    更新日期:2018-09-01 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