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. The proposed method allows for covariates, uses phase-independent similarity measures to bypass the needs to impute phase information, and is applicable to traits of general types (e.g., quantitative and qualitative traits). We also show that the gene-trait similarity regression is closely connected with random effects haplotype analysis, although commonly they are considered as separate modeling tools. This connection unites the classic haplotype sharing methods with the variance-component approaches, which enables direct derivation of analytical properties of the sharing statistics even when the similarity regression model becomes analytically challenging.
journal_name
Biometricsjournal_title
Biometricsauthors
Tzeng JY,Zhang D,Chang SM,Thomas DC,Davidian Mdoi
10.1111/j.1541-0420.2008.01176.xsubject
Has Abstractpub_date
2009-09-01 00:00:00pages
822-32issue
3eissn
0006-341Xissn
1541-0420pii
BIOM1176journal_volume
65pub_type
杂志文章相关文献
BIOMETRICS文献大全abstract::Likelihood ratio tests for parameters estimated assuming normally distributed errors are examined under a variety of homoscedastic and heteroscedastic variance assumptions. It is assumed that gamma ij, the jth observation from the ith population, is distributed as N[mu(chi ij, beta i), (sigma i mu(chi ij, beta i)theta...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1990-09-01 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::We propose a method to estimate the regression coefficients in a competing risks model where the cause-specific hazard for the cause of interest is related to covariates through a proportional hazards relationship and when cause of failure is missing for some individuals. We use multiple imputation procedures to imput...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341x.2001.01191.x
更新日期:2001-12-01 00:00:00
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::A wide variety of similarity indices for comparing two assemblages based on species incidence (i.e., presence/absence) data have been proposed in the literature. These indices are generally based on three simple incidence counts: the number of species shared by two assemblages and the number of species unique to each ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2005.00489.x
更新日期:2006-06-01 00:00:00
abstract::This paper describes methodology for analyzing data from cluster randomized trials with count outcomes, taking indirect effects as well spatial effects into account. Indirect effects are modeled using a novel application of a measure of depth within the intervention arm. Both direct and indirect effects can be estimat...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.13316
更新日期:2020-06-18 00:00:00
abstract::We present a natural generalization of the Buckley-James-type estimator for traditional survival data to right-censored length-biased data under the accelerated failure time (AFT) model. Length-biased data are often encountered in prevalent cohort studies and cancer screening trials. Informative right censoring induce...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2011.01568.x
更新日期:2011-12-01 00:00:00
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:
更新日期:1983-12-01 00:00:00
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:
更新日期:1985-03-01 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::Traditional studies of short-term air pollution health effects use time series data, while cohort studies generally focus on long-term effects. There is increasing interest in exploiting individual level cohort data to assess short-term health effects in order to understand the mechanisms and time scales of action. We...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12125
更新日期:2014-03-01 00:00:00
abstract::Prognostic models in survival analysis typically aim to describe the association between patient covariates and future outcomes. More recently, efforts have been made to include covariate information that is updated over time. However, there exists as yet no standard approach to assess the predictive accuracy of such ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2007.00889.x
更新日期:2008-06-01 00:00:00
abstract::Parametric survival functions are usually defined as explicit functions of time and covariates. However, consideration of some simple differential equations describing certain survival curves leads to a descriptive equation which cannot be explicitly solved for the survival function. Nevertheless, the resulting surviv...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1995-03-01 00:00:00
abstract::This paper proposes a generalized estimating equations approach for the analysis of spatially correlated binary data when there are large numbers of spatially correlated observations on a moderate number of subjects. This approach is useful when the scientific focus is on modeling the marginal mean structure. Proper m...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1995-06-01 00:00:00
abstract::In large cohort studies, it often happens that some covariates are expensive to measure and hence only measured on a validation set. On the other hand, relatively cheap but error-prone measurements of the covariates are available for all subjects. Regression calibration (RC) estimation method (Prentice, 1982, Biometri...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2009.01295.x
更新日期:2010-06-01 00:00:00
abstract::Linear multivariate theory is applied to the problem of combining several multivariate bioassays. Results are an asymptotic test of the hypothesis of a common log relative potency; the maximum likelihood estimator of the common log relative potency; and an exact and asymptotic confidence interval estimator for log rel...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1986-06-01 00:00:00
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
更新日期:2020-08-04 00:00:00
abstract::Methods for modeling and mapping spatial variation in disease risk continue to motivate much research. In particular, spatial analyses provide a useful tool for exploring geographical heterogeneity in health outcomes, and consequently can yield clues as to disease etiology, direct public health management, and generat...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2008.01193.x
更新日期:2009-12-01 00:00:00
abstract::The distance between homologous DNA sequences of two species is proposed to be -1/4 ln[det(P)], where P is the conditional probability matrix specifying the proportions of the various nucleotides in the second sequence, corresponding to each of the four nucleotides in the first sequence. A probability model is describ...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1987-06-01 00:00:00
abstract::Morrissey and Spiegelman (1999, Biometrics 55, 338 344) provided a comparative study of adjustment methods for exposure misclassification in case-control studies equipped with an internal validation sample. In addition to the maximum likelihood (ML) approach, they considered two intuitive procedures based on proposals...
journal_title:Biometrics
pub_type: 评论,杂志文章
doi:10.1111/j.0006-341x.2002.1034_1.x
更新日期:2002-12-01 00:00:00
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
更新日期:2010-03-01 00:00:00
abstract::In the analysis of longitudinal or panel data, neglecting the serial correlations among the repeated measurements within subjects may lead to inefficient inference. In particular, when the number of repeated measurements is large, it may be desirable to model the serial correlations more generally. An appealing approa...
journal_title:Biometrics
pub_type: 杂志文章,随机对照试验
doi:10.1111/biom.12317
更新日期:2015-09-01 00:00:00
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
更新日期:2001-09-01 00:00:00
abstract::Many techniques of functional data analysis require choosing a measure of distance between functions, with the most common choice being L2 distance. In this article we show that using a weighted L2 distance, with a judiciously chosen weight function, can improve the performance of various statistical methods for funct...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12161
更新日期:2014-09-01 00:00:00
abstract::The class of admissible tests for Hardy-Weinberg equilibrium in a multi-allelic system is characterized. The standard goodness-of-fit chi-square tests is shown to be admissible for systems of two or more alleles. The conditional probability distribution required to determine the exact significance level of this test i...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1980-03-01 00:00:00
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:
更新日期:1997-09-01 00:00:00
abstract::We explore the use of a posterior predictive loss criterion for model selection for incomplete longitudinal data. We begin by identifying a property that most model selection criteria for incomplete data should consider. We then show that a straightforward extension of the Gelfand and Ghosh (1998, Biometrika, 85, 1-11...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2012.01766.x
更新日期:2012-12-01 00:00:00
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
更新日期:2016-09-01 00:00:00
abstract::In this study we are concerned with the construction of confidence intervals for the conditional probability of misallocation associated with Anderson's classification statistics, W. The available methods of computing confidence intervals for the conditional probability are not satisfactory in practice, mainly because...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1975-03-01 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