Effects of ignoring baseline on modeling transitions from intact cognition to dementia. - Wikidata - wikimedia - TriplyDB

Effects of ignoring baseline on modeling transitions from intact cognition to dementia.

Effects of ignoring baseline on modeling transitions from intact cognition to dementia.

http://www.wikidata.org/entity/Q37244452

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Are Markov and semi-Markov models flexible enough for cognitive panel data?A nonstationary Markov transition model for computing the relative risk of dementia before death Markov Transition Model to Dementia with Death as a Competing Event.Adjusting for mortality when identifying risk factors for transitions to mild cognitive impairment and dementia.

P2860

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Effects of ignoring baseline on modeling transitions from intact cognition to dementia.

http://www.wikidata.org/entity/Q37244452

description

article científic

@ca

article scientifique

@fr

articolo scientifico

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artigo científico

@pt

bilimsel makale

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scientific article published on July 2009

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vedecký článok

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vetenskaplig artikel

@sv

videnskabelig artikel

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vědecký článek

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name

Effects of ignoring baseline on modeling transitions from intact cognition to dementia.

@en

Effects of ignoring baseline on modeling transitions from intact cognition to dementia.

@nl

type

label

Effects of ignoring baseline on modeling transitions from intact cognition to dementia.

@en

Effects of ignoring baseline on modeling transitions from intact cognition to dementia.

@nl

prefLabel

Effects of ignoring baseline on modeling transitions from intact cognition to dementia.

@en

Effects of ignoring baseline on modeling transitions from intact cognition to dementia.

@nl

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J.CSDA.2009.02.007

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Computational Statistics & Data Analysis

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Effects of ignoring baseline on modeling transitions from intact cognition to dementia.

@en

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David A Snowdon

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Lei Yu

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Richard J Kryscio

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Suzanne L Tyas

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Marginally specified logistic-normal models for longitudinal binary data.

A shared random effect parameter approach for longitudinal dementia data with non-ignorable missing data

Mixed effects logistic regression models for longitudinal binary response data with informative drop-out.

Transitions to mild cognitive impairments, dementia, and death: findings from the Nun Study.

Brain infarction and the clinical expression of Alzheimer disease. The Nun Study.

Mixed effects logistic regression models for multiple longitudinal binary functional limitation responses with informative drop-out and confounding by baseline outcomes.

Shared random effects analysis of multi-state Markov models: application to a longitudinal study of transitions to dementia.

Type I and Type II error under random-effects misspecification in generalized linear mixed models.

Application of random-effects probit regression models.

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3334-3343

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scholarly article

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10.1016/J.CSDA.2009.02.007

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9

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