Bayesian lasso for semiparametric structural equation models.

Abstract:

:There has been great interest in developing nonlinear structural equation models and associated statistical inference procedures, including estimation and model selection methods. In this paper a general semiparametric structural equation model (SSEM) is developed in which the structural equation is composed of nonparametric functions of exogenous latent variables and fixed covariates on a set of latent endogenous variables. A basis representation is used to approximate these nonparametric functions in the structural equation and the Bayesian Lasso method coupled with a Markov Chain Monte Carlo (MCMC) algorithm is used for simultaneous estimation and model selection. The proposed method is illustrated using a simulation study and data from the Affective Dynamics and Individual Differences (ADID) study. Results demonstrate that our method can accurately estimate the unknown parameters and correctly identify the true underlying model.

journal_name

Biometrics

journal_title

Biometrics

authors

Guo R,Zhu H,Chow SM,Ibrahim JG

doi

10.1111/j.1541-0420.2012.01751.x

subject

Has Abstract

pub_date

2012-06-01 00:00:00

pages

567-77

issue

2

eissn

0006-341X

issn

1541-0420

journal_volume

68

pub_type

杂志文章
  • Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data.

    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

    authors: Safo SE,Ahn J,Jeon Y,Jung S

    更新日期:2018-12-01 00:00:00

  • Asynchronous distance between homologous DNA sequences.

    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:

    authors: Barry D,Hartigan JA

    更新日期:1987-06-01 00:00:00

  • Capture-recapture when time and behavioral response affect capture probabilities.

    abstract::We consider a capture-recapture model in which capture probabilities vary with time and with behavioral response. Two inference procedures are developed under the assumption that recapture probabilities bear a constant relationship to initial capture probabilities. These two procedures are the maximum likelihood metho...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2000.00427.x

    authors: Chao A,Chu W,Hsu CH

    更新日期:2000-06-01 00:00:00

  • Model checking for ROC regression analysis.

    abstract::The receiver operating characteristic (ROC) curve is a prominent tool for characterizing the accuracy of a continuous diagnostic test. To account for factors that might influence the test accuracy, various ROC regression methods have been proposed. However, as in any regression analysis, when the assumed models do not...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00620.x

    authors: Cai T,Zheng Y

    更新日期:2007-03-01 00:00:00

  • Comparing the performances of Diggle's tests of spatial randomness for small samples with and without edge-effect correction: application to ecological data.

    abstract::Diggle's tests of spatial randomness based on empirical distributions of interpoint distances can be performed with and without edge-effect correction. We present here numerical results illustrating that tests without the edge-effect correction proposed by Diggle (1979, Biometrics 35, 87-101) have a higher power for s...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.00156.x

    authors: Gignoux J,Duby C,Barot S

    更新日期:1999-03-01 00:00:00

  • Fitting mixture models to grouped and truncated data via the EM algorithm.

    abstract::The fitting of finite mixture models via the EM algorithm is considered for data which are available only in grouped form and which may also be truncated. A practical example is presented where a mixture of two doubly truncated log-normal distributions is adopted to model the distribution of the volume of red blood ce...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: McLachlan GJ,Jones PN

    更新日期:1988-06-01 00:00:00

  • Power and sample size for testing homogeneity of relative risks in prospective studies.

    abstract::Power and sample-size formulas for testing the homogeneity of relative risks using the score method are presented. The homogeneity score test (Gart, 1985, Biometrika 72, 673-677) is formally equivalent to the Pearson chi-square test, although they look different. Results of this paper may be useful in assessing the va...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.00289.x

    authors: Nam JM

    更新日期:1999-03-01 00:00:00

  • Estimating equations for removal data analysis.

    abstract::We consider the problem of estimating a population size from successive catches taken during a removal experiment and propose two estimating functions approaches, the traditional quasi-likelihood (TQL) approach for dependent observations and the conditional quasi-likelihood (CQL) approach using the conditional mean an...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.01263.x

    authors: Wang YG

    更新日期:1999-12-01 00:00:00

  • Bayesian semiparametric models for survival data with a cure fraction.

    abstract::We propose methods for Bayesian inference for a new class of semiparametric survival models with a cure fraction. Specifically, we propose a semiparametric cure rate model with a smoothing parameter that controls the degree of parametricity in the right tail of the survival distribution. We show that such a parameter ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.00383.x

    authors: Ibrahim JG,Chen MH,Sinha D

    更新日期:2001-06-01 00:00:00

  • Choosing near-linear parameters in the four-parameter logistic model for radioligand and related assays.

    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:

    authors: Ratkowsky DA,Reedy TJ

    更新日期:1986-09-01 00:00:00

  • Bayesian survival analysis using a MARS model.

    abstract::A Bayesian multivariate adaptive regression spline fitting approach is used to model univariate and multivariate survival data with censoring. The possible models contain the proportional hazards model as a subclass and automatically detect departures from this. A reversible jump Markov chain Monte Carlo algorithm is ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.01071.x

    authors: Mallick BK,Denison DG,Smith AF

    更新日期:1999-12-01 00:00:00

  • Confidence interval estimation for the ratio of simple and standardized rates in cohort studies.

    abstract::Computer simulation has been used to compare four methods for calculating confidence intervals for simple rate ratios estimated from cohort studies. The method proposed by Cornfield (1956. In Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability. Vol. IV, 135-148) for interval estimati...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Howe GR

    更新日期:1983-06-01 00:00:00

  • A score regression approach to assess calibration of continuous probabilistic predictions.

    abstract::Calibration, the statistical consistency of forecast distributions and the observations, is a central requirement for probabilistic predictions. Calibration of continuous forecasts is typically assessed using the probability integral transform histogram. In this article, we propose significance tests based on scoring ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2010.01406.x

    authors: Held L,Rufibach K,Balabdaoui F

    更新日期:2010-12-01 00:00:00

  • Sample-size formula for the proportional-hazards regression model.

    abstract::A formula is derived for determining the number of observations necessary to test the equality of two survival distributions when concomitant information is incorporated. This formula should be useful in designing clinical trials with a heterogeneous patient population. Schoenfeld (1981, Biometrika 68, 316-319) derive...

    journal_title:Biometrics

    pub_type: 临床试验,杂志文章

    doi:

    authors: Schoenfeld DA

    更新日期:1983-06-01 00:00:00

  • Multivariate survival analysis using piecewise gamma frailty.

    abstract::In this note we propose a frailty model called piecewise gamma frailty for correlated survival data with random effects having a nested structure. In frailty models, a dependence function defined as a hazard ratio of one member given the failure time of another member in a unit is determined by the distributional assu...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Paik MC,Tsai WY,Ottman R

    更新日期:1994-12-01 00:00:00

  • Sequential equivalence testing and repeated confidence intervals, with applications to normal and binary responses.

    abstract::We propose group sequential tests of the equivalence of two treatments based on ideas related to repeated confidence intervals. These tests adapt readily to unpredictable group sizes, to the possibility of continuing even though a boundary has been crossed, and to nonnormal observations. In comparing two binomial dist...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Jennison C,Turnbull BW

    更新日期:1993-03-01 00:00:00

  • Bayesian enrichment strategies for randomized discontinuation trials.

    abstract::We propose optimal choice of the design parameters for random discontinuation designs (RDD) using a Bayesian decision-theoretic approach. We consider applications of RDDs to oncology phase II studies evaluating activity of cytostatic agents. The design consists of two stages. The preliminary open-label stage treats al...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01623.x

    authors: Trippa L,Rosner GL,Müller P

    更新日期:2012-03-01 00:00:00

  • On longitudinal prediction with time-to-event outcome: Comparison of modeling options.

    abstract::Long-term follow-up is common in many medical investigations where the interest lies in predicting patients' risks for a future adverse outcome using repeatedly measured predictors over time. A key quantity is the likelihood of developing an adverse outcome among individuals who survived up to time s given their covar...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12562

    authors: Maziarz M,Heagerty P,Cai T,Zheng Y

    更新日期:2017-03-01 00:00:00

  • Pooling data for stability studies: testing the equality of batch degradation slopes.

    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:

    authors: Ruberg SJ,Stegeman JW

    更新日期:1991-09-01 00:00:00

  • An adaptive trial design to optimize dose-schedule regimes with delayed outcomes.

    abstract::This paper proposes a two-stage phase I-II clinical trial design to optimize dose-schedule regimes of an experimental agent within ordered disease subgroups in terms of the toxicity-efficacy trade-off. The design is motivated by settings where prior biological information indicates it is certain that efficacy will imp...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13116

    authors: Lin R,Thall PF,Yuan Y

    更新日期:2020-03-01 00:00:00

  • Some aspects of cancer epidemiology.

    abstract::Epidemiolgic studies have strongly suggested that a vast majority (80-90%) of cancers are caused by radiation, chemical and biologic agents; the remainder result from endogenous or genetic factors. Biologically, cancer is most probably the end result of a complex multistage process and therefore may be due to a sequen...

    journal_title:Biometrics

    pub_type: 杂志文章,评审

    doi:

    authors: Lilienfeld AM

    更新日期:1982-03-01 00:00:00

  • Efficient analysis of Weibull survival data from experiments on heterogeneous patient populations.

    abstract::An efficient method is presented for analyses of death rated in one-way or cross-classified experiments where expected survival time for a patient at time of entry on trial is a function of observable covariates. The survival-time distribution used is a Weibull form of Cox's (1972) model. The analysis proceeds in two ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Williams JS

    更新日期:1978-06-01 00:00:00

  • Bayesian hierarchical spatially correlated functional data analysis with application to colon carcinogenesis.

    abstract::In this article, we present new methods to analyze data from an experiment using rodent models to investigate the role of p27, an important cell-cycle mediator, in early colon carcinogenesis. The responses modeled here are essentially functions nested within a two-stage hierarchy. Standard functional data analysis lit...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00846.x

    authors: Baladandayuthapani V,Mallick BK,Young Hong M,Lupton JR,Turner ND,Carroll RJ

    更新日期:2008-03-01 00:00:00

  • Composite sampling.

    abstract::In sampling certain types of materials, such as bags of fertilizer, or subsampling large quantities of water, as might be done in investigating the density of plankton in certain environmental situations, it is customary to composite the samples. That is, several samples are drawn, mixed into a composite sample, and a...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Rohde CA

    更新日期:1976-06-01 00:00:00

  • On modelling microbial infections.

    abstract::Several models for the course of microbial infections during the incubation period are examined. Each model fits sore throat incubation data very well. Together with the lack of precision of the resulting parameter estimates, this suggests that incubation data alone are insufficient for elucidating the finer details o...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Morgan BJ,Watts SA

    更新日期:1980-06-01 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 maximum likelihood for nonlinear regression with measurement errors.

    abstract::This article demonstrates semiparametric maximum likelihood estimation of a nonlinear growth model for fish lengths using imprecisely measured ages. Data on the species corvina reina, found in the Gulf of Nicoya, Costa Rica, consist of lengths and imprecise ages for 168 fish and precise ages for a subset of 16 fish. T...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2002.00448.x

    authors: Suh EY,Schafer DW

    更新日期:2002-06-01 00:00:00

  • Testing nonlinear regression parameters under heteroscedastic, normally distributed errors.

    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:

    authors: Kimura DK

    更新日期:1990-09-01 00:00:00

  • Incorporating marginal covariate information in a nonparametric regression model for a sample of R x C tables.

    abstract:SUMMARY:Nonparametric regression models are proposed in the framework of ecological inference for exploratory modeling of disease prevalence rates adjusted for variables, such as age, ethnicity/race, and socio-economic status. Ecological inference is needed when a response variable and covariate are not available at th...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.00997.x

    authors: Staniswalis JG

    更新日期:2008-12-01 00:00:00

  • Multistage index selection in finite populations.

    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:

    authors: Norell L,Arnason T,Hugason K

    更新日期:1991-03-01 00:00:00