Dealing with missing data in observational health care outcome analyses. (Q30593802)

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6 November 2019

title

Dealing with missing data in observational health care outcome analyses (English)

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6 November 2019

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1

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6 November 2019

author name string

W A Ghali

2

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6 November 2019

M L Knudtson

3

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6 November 2019

C D Naylor

4

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6 November 2019

L D Saunders

5

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6 November 2019

publication date

1 April 2000

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Journal of Clinical Epidemiology

6 November 2019

published in

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6 November 2019

volume

53

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6 November 2019

issue

4

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6 November 2019

page(s)

377-383

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A critical look at methods for handling missing covariates in epidemiologic regression analyses

6 November 2019

cites work

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7 January 2021

A new method of classifying prognostic comorbidity in longitudinal studies: development and validation

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7 January 2021

Coronary artery bypass mortality rates in Ontario. A Canadian approach to quality assurance in cardiac surgery. Steering Committee of the Provincial Adult Cardiac Care Network of Ontario

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7 January 2021

A comparison of goodness-of-fit tests for the logistic regression model

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7 January 2021

Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors

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7 January 2021

Assessing quality using administrative data

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7 January 2021

10.1016/S0895-4356(99)00181-X

Identifiers

DOI

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6 November 2019

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