Abstract：
:A time-dependent measure, termed the rate ratio, was proposed to assess the local dependence between two types of recurrent event processes in one-sample settings. However, the one-sample work does not consider modeling the dependence by covariates such as subject characteristics and treatments received. The focus of this paper is to understand how and in what magnitude the covariates influence the dependence strength for bivariate recurrent events. We propose the covariate-adjusted rate ratio, a measure of covariate-adjusted dependence. We propose a semiparametric regression model for jointly modeling the frequency and dependence of bivariate recurrent events: the first level is a proportional rates model for the marginal rates and the second level is a proportional rate ratio model for the dependence structure. We develop a pseudo-partial likelihood to estimate the parameters in the proportional rate ratio model. We establish the asymptotic properties of the estimators and evaluate the finite sample performance via simulation studies. We illustrate the proposed models and methods using a soft tissue sarcoma study that examines the effects of initial treatments on the marginal frequencies of local/distant sarcoma recurrence and the dependence structure between the two types of cancer recurrence.
journal_name
Biometricsjournal_title
Biometricsauthors
Ning J,Cai C,Chen Y,Huang X,Wang MCdoi
10.1111/biom.13229subject
Has Abstractpub_date
2020-12-01 00:00:00pages
1229-1239issue
4eissn
0006-341Xissn
1541-0420journal_volume
76pub_type
杂志文章相关文献
BIOMETRICS文献大全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：:Geographic disease surveillance methods identify regions that have higher disease rates than expected. These approaches are generally applied to incident or prevalent cases of disease. In some contexts, disease-related events rather than individuals are the appropriate units of analysis for geographic surveillance. We...
journal_title：Biometrics
pub_type： 杂志文章
doi：10.1111/j.1541-0420.2005.00503.x
更新日期：2006-06-01 00:00:00
abstract：:Moment methods for analyzing repeated binary responses have been proposed by Liang and Zeger (1986, Biometrika 73, 13-22), and extended by Prentice (1988, Biometrics 44, 1033-1048). In their generalized estimating equations (GEE), both Liang and Zeger (1986) and Prentice (1988) estimate the parameters associated with ...
journal_title：Biometrics
pub_type： 杂志文章
doi：
更新日期：1994-03-01 00:00:00
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
更新日期：2018-06-01 00:00:00
abstract：:This paper considers the impact of bias in the estimation of the association parameters for longitudinal binary responses when there are drop-outs. A number of different estimating equation approaches are considered for the case where drop-out cannot be assumed to be a completely random process. In particular, standar...
journal_title：Biometrics
pub_type： 杂志文章
doi：10.1111/j.0006-341x.2001.00015.x
更新日期：2001-03-01 00:00:00
abstract：:The basic problem under consideration is the comparison of treatments with respect to a response Y when a covariable X is taken into account. Various methods involving matching may be regarded as compromises between the standard analysis of covariance and the standard analysis of independent matched pairs. First, ther...
journal_title：Biometrics
pub_type： 杂志文章
doi：
更新日期：1982-09-01 00:00:00
abstract：:In this article, we describe a Bayesian approach to the calibration of a stochastic computer model of chemical kinetics. As with many applications in the biological sciences, the data available to calibrate the model come from different sources. Furthermore, these data appear to provide somewhat conflicting informatio...
journal_title：Biometrics
pub_type： 杂志文章
doi：10.1111/j.1541-0420.2009.01245.x
更新日期：2010-03-01 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：: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
更新日期：2001-06-01 00:00:00
abstract：:Using genetic recombination data to make inferences about chiasmata on the tetrad during meiosis is a classic problem dating back to Weinstein's paper in 1936 (Genetics 21, 155-199). In the last few years, Weinstein's methods have been revived and applied to new problems, but a number of important statistical issues r...
journal_title：Biometrics
pub_type： 杂志文章
doi：10.1111/j.0006-341x.2002.00369.x
更新日期：2002-06-01 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：: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
更新日期：2012-12-01 00:00:00
abstract：:Asymptotic confidence bands for generalized nonlinear regression models are developed. These are based on a combination of the S method of Scheffe, together with the delta method which is used to approximate the mean function by a linear combination of the parameters. The approach can be used in any situation where la...
journal_title：Biometrics
pub_type： 杂志文章
doi：
更新日期：1995-03-01 00:00:00
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
更新日期：2013-06-01 00:00:00
abstract：:Ten parameters extracted from six currently used parametrizations of the four-parameter logistic model, and one new proposal, were examined for their statistical behavior in nonlinear least-squares estimation in combination with ELISA and RIA data. Those which are adequately near-linear on the basis of the Lowry-Morto...
journal_title：Biometrics
pub_type： 杂志文章
doi：
更新日期：1986-09-01 00:00:00
abstract：:The simultaneous testing of multiple hypotheses is common to the analysis of high-dimensional data sets. The two-group model, first proposed by Efron, identifies significant comparisons by allocating observations to a mixture of an empirical null and an alternative distribution. In the Bayesian nonparametrics literatu...
journal_title：Biometrics
pub_type： 杂志文章
doi：10.1111/biom.13314
更新日期：2020-06-14 00:00:00
abstract：:Pharmaceutical products are routinely monitored for their stability over time. Stability studies generally consist of a random sample of dosage units (e.g., tablets, capsules, vials) from a batch or several batches placed in a storage room and periodically assayed for their drug content. The degradation of the drug pr...
journal_title：Biometrics
pub_type： 杂志文章
doi：
更新日期：1991-09-01 00:00:00
abstract：:Estimates of waterfowl demographic parameters often come from resighting studies where birds fit with individually identifiable neck collars are resighted at a distance. Concerns have been raised about the effects of collar loss on parameter estimates, and the reliability of extrapolating from collared individuals to ...
journal_title：Biometrics
pub_type： 杂志文章
doi：10.1111/j.0006-341X.2004.00245.x
更新日期：2004-12-01 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：:The classical concordance correlation coefficient (CCC) to measure agreement among a set of observers assumes data to be distributed as normal and a linear relationship between the mean and the subject and observer effects. Here, the CCC is generalized to afford any distribution from the exponential family by means of...
journal_title：Biometrics
pub_type： 杂志文章
doi：10.1111/j.1541-0420.2009.01335.x
更新日期：2010-09-01 00:00:00
abstract：:We consider methods for estimating the treatment effect and/or the covariate by treatment interaction effect in a randomized clinical trial under noncompliance with time-to-event outcome. As in Cuzick et al. (2007), assuming that the patient population consists of three (possibly latent) subgroups based on treatment p...
journal_title：Biometrics
pub_type： 杂志文章
doi：10.1111/biom.12472
更新日期：2016-09-01 00:00:00
abstract：:A comparison was made of various tests for Hardy-Weinberg equilibrium, with emphasis on methods for multiple alleles. For an overall test of deviations from equilibrium, the classical chi-square goodness-of-fit test generally performs well, with continuity corrections needed for extreme gene frequencies or extreme dep...
journal_title：Biometrics
pub_type： 杂志文章
doi：
更新日期：1989-03-01 00:00:00
abstract：:When the observed data are contaminated with errors, the standard two-sample testing approaches that ignore measurement errors may produce misleading results, including a higher type-I error rate than the nominal level. To tackle this inconsistency, a nonparametric test is proposed for testing equality of two distribu...
journal_title：Biometrics
pub_type： 杂志文章
doi：10.1111/biom.13207
更新日期：2020-09-01 00:00:00
abstract：:A study of otitis media that requires a test for the comparison of two clustered samples of censored data is described. A method is proposed taking into account the within-subject correlation in the formation of the log-rank statistic. ...
journal_title：Biometrics
pub_type： 临床试验,杂志文章,随机对照试验
doi：
更新日期：1996-03-01 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：:Eguchi and Matsuura (1990, Biometrics 46, 415-426) noted that the generalized Stevens test statistic for the Hardy-Weinberg law for human leukocyte antigen (HLA) data yields an excessively large value when no double blanks are observed. In this paper, we investigated this aberrant case. The inflated value of the test ...
journal_title：Biometrics
pub_type： 杂志文章
doi：
更新日期：1995-03-01 00:00:00
abstract：:Multistage selection with fixed proportions and selection indices based on covariates of the target variable is studied. Assuming a multivariate normal distribution before the selection, expressions are presented for the expectation and the variance of the target variable in the retained subpopulation. As the numerica...
journal_title：Biometrics
pub_type： 杂志文章
doi：
更新日期：1991-03-01 00:00:00
abstract：:In controlled clinical trials there are usually several prognostic factors known or thought to influence the patient's ability to respond to treatment. Therefore, the method of sequential treatment assignment needs to be designed so that treatment balance is simultaneously achieved across all such patients factor. Tra...
journal_title：Biometrics
pub_type： 临床试验,杂志文章
doi：
更新日期：1975-03-01 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：:Some covariate-adaptive randomization methods have been used in clinical trials for a long time, but little theoretical work has been done about testing hypotheses under covariate-adaptive randomization until Shao et al. (2010) who provided a theory with detailed discussion for responses under linear models. In this a...
journal_title：Biometrics
pub_type： 杂志文章
doi：10.1111/biom.12062
更新日期：2013-12-01 00:00:00
