Two-Part and Related Regression Models for Longitudinal Data.

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Power analysis to detect treatment effects in longitudinal clinical trials for Alzheimer's disease.Modeling Semicontinuous Longitudinal Expenditures: A Practical Guide.

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P2860

Two-Part and Related Regression Models for Longitudinal Data.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年论文

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2017年论文

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2017年论文

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name

Two-Part and Related Regression Models for Longitudinal Data.

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Two-Part and Related Regression Models for Longitudinal Data.

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Two-Part and Related Regression Models for Longitudinal Data.

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P1476

Two-Part and Related Regression Models for Longitudinal Data.

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P2093

L Su

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S Yiu

http://www.w3.org/2001/XMLSchema#string

V T Farewell

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P2860

The Stanford Health Assessment Questionnaire: dimensions and practical applications

A flexible two-part random effects model for correlated medical costs.

Unified Computational Methods for Regression Analysis of Zero-Inflated and Bound-Inflated Data

Marginally specified logistic-normal models for longitudinal binary data.

A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data.

Marginalized transition models and likelihood inference for longitudinal categorical data.

Analysis of data with excess zeros.

Mixture models for quantitative HIV RNA data.

Analysis of repeated measures data with clumping at zero.

Marginal analyses of clustered data when cluster size is informative.

P304

283-315

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scholarly article

P356

10.1146/ANNUREV-STATISTICS-060116-054131

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Brian Tom

D Leann Long

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2017-03-01T00:00:00Z

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28890906

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5590716

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Two-Part and Related Regression Models for Longitudinal Data.

about

P2860

P2860

Two-Part and Related Regression Models for Longitudinal Data.

description

name

type

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prefLabel

P1433

P1476

P2093

P2860

P304

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P356

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

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P478

P50

P577

P698

P932