about
Review: analysis of parasite and other skewed countsUnified Computational Methods for Regression Analysis of Zero-Inflated and Bound-Inflated DataA new approach to analyse longitudinal epidemiological data with an excess of zeros.A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data.Comparison of models for analyzing two-group, cross-sectional data with a Gaussian outcome subject to a detection limit.An Evaluation of Statistical Methods for Analyzing Follow-Up Gaussian Laboratory Data with a Lower Quantification Limit.Estimation of intervention effect using paired interval-censored data with clumping below lower detection limit.Bayesian inference for two-part mixed-effects model using skew distributions, with application to longitudinal semicontinuous alcohol data.Multi-level zero-inflated poisson regression modelling of correlated count data with excess zeros.On the use of zero-inflated and hurdle models for modeling vaccine adverse event count data.Modeling longitudinal biomarker data from multiple assays that have different known detection limits.Bias in 2-part mixed models for longitudinal semicontinuous data.A comparative investigation of methods for longitudinal data with limits of detection through a case study.Linear regression with an independent variable subject to a detection limit.Some considerations for excess zeroes in substance abuse researchEstimation of mediation effects for zero-inflated regression models.Determination of proportionality in two-part models and analysis of Multi-Ethnic Study of Atherosclerosis (MESA)SEMIPARAMETRIC ZERO-INFLATED MODELING IN MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA).The effect of HAART on HIV RNA trajectory among treatment-naïve men and women: a segmental Bernoulli/lognormal random effects model with left censoring.Mental Health Care for Youth: Predictors of Use are not always the same as Predictors of Volume.Estimating overall exposure effects for zero-inflated regression models with application to dental cariesModeling correlated healthcare costs.Estimating overall exposure effects for the clustered and censored outcome using random effect Tobit regression models.Natural interpretations in Tobit regression models using marginal estimation methods.Two-Part and Related Regression Models for Longitudinal Data.Composite interval mapping to identify quantitative trait loci for point-mass mixture phenotypes.Bayesian inference for a nonlinear mixed-effects Tobit model with multivariate skew-t distributions: application to AIDS studies.Correlating two continuous variables subject to detection limits in the context of mixture distributionsPredicting microcystin concentrations in lakes and reservoirs at a continental scale: A new framework for modelling an important health risk factorMarginal and Conditional Approaches to Multivariate Variables Subject to Limit of DetectionDisease Diagnosis from Immunoassays with Plate to Plate Variability: A Hierarchical Bayesian Approach
P2860
Q26864243-A65E8885-0E8A-41F0-A9E4-D9192827C0D0Q30475263-AD127916-D9AC-4BFC-8F00-A64C50F8B484Q30591324-38F5C0D5-E8FA-4C50-8C1E-3C4D1D163199Q30690564-B4F778F5-A20A-428A-AC96-2789D971919BQ30815467-55C67B0D-3888-493A-84E4-EA27AFB26077Q30829516-92C2A762-9CAD-4AC1-9DD6-D7DB58828134Q30864024-F3B2DD6C-7B1A-44C7-833F-482901C06464Q30975433-27656D71-2569-4F90-ABB1-680798A858BAQ31032338-40F65952-79B8-433E-AE97-FE807A7C974BQ31052005-C9CE0120-9F95-4F44-9C2F-57DEE52988A6Q31123729-FD933F1D-126F-4C99-927F-6704C3AE9595Q33399008-F58989C1-1E1A-4842-A4DF-83AC7AA87CEBQ34232733-BEB46D85-0D83-411A-9CF0-53F93CDC9118Q35692526-FA4B4F07-B79B-45B2-BF69-8F043FE521F1Q35813578-F972E71A-3CDD-4A24-889C-ADEC547CAFE7Q36312949-5E4521FF-0CAE-4435-AD9B-8E7B36F58DA7Q36922633-0AA84151-C566-488F-BA8F-2854999C5F26Q36950561-1BBE1A86-E6DA-4E56-89C6-FB3A1C022D4BQ37078006-02FBA2CB-B958-4FD2-8038-F4F9A0C40206Q37079262-C8139D6B-E5BD-4C25-B07B-1D65ACFBA8E5Q37258190-4AA4C8B9-64FE-4A42-8497-A75A72C536FDQ37847156-6FCE83B9-FB8E-42D3-AA33-A4882D205790Q39568511-01F29A3E-E495-4653-9031-1C08ABF2C56FQ41432974-FF029BCB-C9FD-403F-9D3D-C915859712D9Q41502118-B9E70E95-A615-4777-84CC-BA80884FB84EQ45779231-0F64B355-8A8B-4B03-8988-8584162EA02FQ51321740-355F45DC-7800-4A2E-A609-550750314968Q57954139-421EF267-FEBC-4F95-BEA1-21093D928B39Q58192720-6E0AAFEE-E7BE-49D1-ACA1-12D28ED8756CQ58322308-71CFD768-1494-4C06-991B-E2D1D51811C8Q58869293-5E203693-9C7F-49B4-8B8F-62DFBA9D30ED
P2860
description
2002 nî lūn-bûn
@nan
2002 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Mixture models for quantitative HIV RNA data.
@ast
Mixture models for quantitative HIV RNA data.
@en
type
label
Mixture models for quantitative HIV RNA data.
@ast
Mixture models for quantitative HIV RNA data.
@en
prefLabel
Mixture models for quantitative HIV RNA data.
@ast
Mixture models for quantitative HIV RNA data.
@en
P2860
P1476
Mixture models for quantitative HIV RNA data.
@en
P2093
Frank C Curriero
Paulo F Barroso
P2860
P304
P356
10.1191/0962280202SM292RA
P577
2002-08-01T00:00:00Z