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-maximization algorithm to estimate model parameters, detect clusters, and identify cluster locations. Our method differs from the classical scan statistic in that we can simultaneously detect multiple clusters of varying sizes. We illustrate the methodology with two real data applications and evaluate its efficiency through simulation studies. For the typical data-generating process, our methodology is more efficient than a competing procedure that relies on least squares.
journal_name
Biometricsjournal_title
Biometricsauthors
Xie M,Sun Q,Naus Jdoi
10.1111/j.1541-0420.2009.01197.xsubject
Has Abstractpub_date
2009-12-01 00:00:00pages
1011-20issue
4eissn
0006-341Xissn
1541-0420pii
BIOM1197journal_volume
65pub_type
杂志文章相关文献
BIOMETRICS文献大全abstract::Dose-response models are intensively used in herbicide bioassays. Despite recent advancements in the development of new herbicides, statistical analyses are commonly based on asymptotic approximations that are sometimes poor. This paper presents the use of recent results in higher order asymptotics for likelihood-base...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341x.2000.01204.x
更新日期:2000-12-01 00:00:00
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
更新日期:2016-09-01 00:00:00
abstract::Many statistical tests have been proposed for case-control data to detect disease association with multiple single nucleotide polymorphisms (SNPs) in linkage disequilibrium. The main reason for the existence of so many tests is that each test aims to detect one or two aspects of many possible distributional difference...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2011.01649.x
更新日期:2012-03-01 00:00:00
abstract::The estimation of maternal genetic variances by a multivariate maximum likelihood method is discussed. As an illustration the method is applied to data on Tribolium using a model based on partitioning the maternal genetic effect into additive and dominance components. An alternative model due to Falconer (1965) is als...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1976-12-01 00:00:00
abstract::A life table estimates probabilities of surviving and of dying as well as death rates, as these would apply in a stationary population with the same underlying continuous mortality curve as the observed population. We have derived approximations to the probability of surviving that require no iteration, do not depend ...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1975-12-01 00:00:00
abstract::Laska and Meisner (1989, Biometrics 45, 1139-1151) dealt with the problem of testing whether an identified treatment belonging to a set of k + 1 treatments is better than each of the other k treatments. They calculated sample size tables for k = 2 when using multiple t-tests or Wilcoxon-Mann-Whitney tests, both under ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341x.2000.00879.x
更新日期:2000-09-01 00:00:00
abstract::The use of summary rates of reporting health data is discussed. Directly and indirectly adjusted rates are compared under two models of no interaction. A method of analysis is described whereby a model is first fitted to data in order to investigate assumptions, and subsequently the smoothed rates based on the model a...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1980-06-01 00:00:00
abstract::This paper presents a comparison of three methods of parameter estimation in analysis of linkage between a quantitative trait locus (QTL) and a marker locus: maximum likelihood, mean square for trait cumulative distribution function, and method of moments, employing simulated backcross data. The sensitivity of estimat...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1996-06-01 00:00:00
abstract::New methods are developed for assessing the extent of interrater agreement when each unit to be rated is characterized by a (possibly empty) subset of a specified set of distinct nominal attributes. For such multiple attribute response data, a two-rater concordance statistic is derived, and associated statistical infe...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1989-09-01 00:00:00
abstract::We develop a Bayesian nonparametric mixture modeling framework for quantal bioassay settings. The approach is built upon modeling dose-dependent response distributions. We adopt a structured nonparametric prior mixture model, which induces a monotonicity restriction for the dose-response curve. Particular emphasis is ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12120
更新日期:2014-03-01 00:00:00
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
更新日期:2004-12-01 00:00:00
abstract::This paper considers methods for estimating the relationship between a binary response Y and the genetic effects responsible for a second binary trait Z. The responses Y are observed only for target individuals, and the responses Z are observed only for the relatives of these targets. The analysis consists of two part...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341x.2000.00808.x
更新日期:2000-09-01 00:00:00
abstract::Often with data from immunoassays, the concentration-response relationship is nonlinear and intra-assay response variance is heterogeneous. Estimation of the standard curve is usually based on a nonlinear heteroscedastic regression model for concentration-response, where variance is modeled as a function of mean respo...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1996-03-01 00:00:00
abstract::Matched case-control designs are commonly used in epidemiologic studies for increased efficiency. These designs have recently been introduced to the setting of modern imaging and genomic studies, which are characterized by high-dimensional covariates. However, appropriate statistical analyses that adjust for the match...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12113
更新日期:2014-03-01 00:00:00
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
更新日期:2020-10-15 00:00:00
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
更新日期:2019-09-01 00:00:00
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
更新日期:2012-09-01 00:00:00
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
更新日期:1999-12-01 00:00:00
abstract::Quantitative traits analyzed in Genome-Wide Association Studies (GWAS) are often nonnormally distributed. For such traits, association tests based on standard linear regression are subject to reduced power and inflated type I error in finite samples. Applying the rank-based inverse normal transformation (INT) to nonno...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.13214
更新日期:2020-12-01 00:00:00
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
更新日期:2009-09-01 00:00:00
abstract::A model specified in terms of linear models for marginal logits and linear models for log-odds ratios is proposed for the analysis of two-period binary cross-over experiments. Hypothesis testing and parameter estimation are facilitated by standard likelihood methodology. Two examples are used to illustrate how the mod...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1993-12-01 00:00:00
abstract::We present a method for individual and integrative analysis of high dimension, low sample size data that capitalizes on the recurring theme in multivariate analysis of projecting higher dimensional data onto a few meaningful directions that are solutions to a generalized eigenvalue problem. We propose a general framew...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12886
更新日期:2018-12-01 00:00:00
abstract::We consider hidden Markov models as a versatile class of models for weakly dependent random phenomena. The topic of the present paper is likelihood-ratio testing for hidden Markov models, and we show that, under appropriate conditions, the standard asymptotic theory of likelihood-ratio tests is valid. Such tests are c...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341x.2000.00742.x
更新日期:2000-09-01 00:00:00
abstract::The log-rank test is widely used to compare two survival distributions in a randomized clinical trial, while partial likelihood (Cox, 1975) is the method of choice for making inference about the hazard ratio under the Cox (1972) proportional hazards model. The Wald 95% confidence interval of the hazard ratio may inclu...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12528
更新日期:2016-12-01 00:00:00
abstract::The matrix considered contains four elements, each a function of total number. A special case for which the matrix may be appropriate is when the population may be divided into juveniles and adults, and the survival rates and fecundity are the same for all members of each group. This is true, at least approximatley, f...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1976-06-01 00:00:00
abstract::The use of the uniformly most powerful among the unbiased (UMPU) test was recently suggested for the study of gametic association between two polymorphic loci as an alternative to the Fisher's exact test (Zapata and Alvarez, 1997, Annals of Human Genetics 61, 71-77). However, the proposed test is not UMPU for two-side...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341x.2001.00535.x
更新日期:2001-06-01 00:00:00
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:
更新日期:1994-09-01 00:00:00
abstract::The accuracy of a new diagnostic test is often determined by comparison with a reference test which also has unknown error rates. Maximum likelihood estimation of the error rates of both tests is possible if they are simultaneously applied to two populations with different disease prevalences. The estimation procedure...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1985-12-01 00:00:00
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
更新日期:2000-03-01 00:00:00
abstract::In this article, we investigate clustering methods for multilevel functional data, which consist of repeated random functions observed for a large number of units (e.g., genes) at multiple subunits (e.g., bacteria types). To describe the within- and between variability induced by the hierarchical structure in the data...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2011.01714.x
更新日期:2012-09-01 00:00:00