(Q57310639)

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Estimation of Regression Coefficients When Some Regressors are not Always Observed

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title

Estimation of Regression Coefficients When Some Regressors are not Always Observed (English)

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author name string

James M. Robins

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1

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Andrea Rotnitzky

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2

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Lue Ping Zhao

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3

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language of work or name

English

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publication date

September 1994

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number of pages

21

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published in

Journal of the American Statistical Association

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volume

89

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issue

427

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page(s)

846-866

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cites work

A Generalization of Sampling Without Replacement from a Finite Universe

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https://api.crossref.org/works/10.1080%2F01621459.1994.10476818

21 January 2018

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https://api.crossref.org/works/10.1080%2F01621459.1994.10476818

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21 January 2018

Likelihood analysis of multi-state models for disease incidence and mortality

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https://api.crossref.org/works/10.1080%2F01621459.1994.10476818

retrieved

21 January 2018

A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods

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https://api.crossref.org/works/10.1080%2F01621459.1994.10476818

retrieved

21 January 2018

Estimating exposure effects by modelling the expectation of exposure conditional on confounders

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https://api.crossref.org/works/10.1080%2F01621459.1994.10476818

retrieved

21 January 2018

Inference and missing data

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reference URL

https://api.crossref.org/works/10.1080%2F01621459.1994.10476818

retrieved

21 January 2018

A prospective study of postmenopausal estrogen therapy and coronary heart disease

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reference URL

https://api.crossref.org/works/10.1080%2F01621459.1994.10476818

retrieved

21 January 2018

Toward a clearer definition of confounding.

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reference URL

https://api.crossref.org/works/10.1080%2F01621459.1994.10476818

retrieved

21 January 2018

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10.1080/01621459.1994.10476818

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(Q57310639)

Estimation of Regression Coefficients When Some Regressors are not Always Observed

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