Analyzing excessive no changes in clinical trials with clustered data.
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A comparison of CPAP and CPAPFLEX in the treatment of obstructive sleep apnea in World Trade Center responders: study protocol for a randomized controlled trialA flexible two-part random effects model for correlated medical costs.Analyzing repeated measures semi-continuous data, with application to an alcohol dependence study.Unified Computational Methods for Regression Analysis of Zero-Inflated and Bound-Inflated DataA corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data.A marginalized two-part model for longitudinal semicontinuous data.The modeling of medical expenditure data from a longitudinal survey using the generalized method of moments (GMM) approach.Marginalized zero-altered models for longitudinal count data.A Bayesian analysis for longitudinal semicontinuous data with an application to an acupuncture clinical trialAssessing Sexual Attitudes and Behaviors of Young Women: A Joint Model with Nonlinear Time Effects, Time Varying Covariates, and Dropouts.Two-Part and Related Regression Models for Longitudinal Data.
P2860
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P2860
Analyzing excessive no changes in clinical trials with clustered data.
description
2004 nî lūn-bûn
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name
Analyzing excessive no changes in clinical trials with clustered data.
@ast
Analyzing excessive no changes in clinical trials with clustered data.
@en
type
label
Analyzing excessive no changes in clinical trials with clustered data.
@ast
Analyzing excessive no changes in clinical trials with clustered data.
@en
prefLabel
Analyzing excessive no changes in clinical trials with clustered data.
@ast
Analyzing excessive no changes in clinical trials with clustered data.
@en
P2093
P2860
P1433
P1476
Analyzing excessive no changes in clinical trials with clustered data.
@en
P2093
Shou-En Lu
Wei-Chung Joe Shih
P2860
P304
P356
10.1111/J.0006-341X.2004.00155.X
P407
P577
2004-03-01T00:00:00Z