What does missing data tell us? Use of multiple imputation to reduce selection bias in modelling the association of thrombotic markers with incident coronary heart disease: British Women's Heart and Health prospective cohort study

M May; D Lawlor; R Patel; A Rumley; G Lowe; Shah B J Ebrahim

What does missing data tell us? Use of multiple imputation to reduce selection bias in modelling the association of thrombotic markers with incident coronary heart disease: British Women's Heart and Health prospective cohort study

M May, D Lawlor, R Patel, A Rumley, G Lowe, Shah B J Ebrahim

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Translated title of the contribution	What does missing data tell us? Use of multiple imputation to reduce selection bias in modelling the association of thrombotic markers with incident coronary heart disease: British Women's Heart and Health prospective cohort study
Original language	English
Title of host publication	Oral presentation at Society of Social Medicine, Leeds, UK
Publication status	Published - 2006

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May, M., Lawlor, D., Patel, R., Rumley, A., Lowe, G., & Ebrahim, S. B. J. (2006). What does missing data tell us? Use of multiple imputation to reduce selection bias in modelling the association of thrombotic markers with incident coronary heart disease: British Women's Heart and Health prospective cohort study. In Oral presentation at Society of Social Medicine, Leeds, UK

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title = "What does missing data tell us? Use of multiple imputation to reduce selection bias in modelling the association of thrombotic markers with incident coronary heart disease: British Women's Heart and Health prospective cohort study",

author = "M May and D Lawlor and R Patel and A Rumley and G Lowe and Ebrahim, \{Shah B J\}",

year = "2006",

language = "English",

booktitle = "Oral presentation at Society of Social Medicine, Leeds, UK",

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What does missing data tell us? Use of multiple imputation to reduce selection bias in modelling the association of thrombotic markers with incident coronary heart disease: British Women's Heart and Health prospective cohort study. / May, M; Lawlor, D; Patel, R et al.
Oral presentation at Society of Social Medicine, Leeds, UK. 2006.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - What does missing data tell us? Use of multiple imputation to reduce selection bias in modelling the association of thrombotic markers with incident coronary heart disease: British Women's Heart and Health prospective cohort study

AU - May, M

AU - Lawlor, D

AU - Patel, R

AU - Rumley, A

AU - Lowe, G

AU - Ebrahim, Shah B J

PY - 2006

Y1 - 2006

M3 - Conference Contribution (Conference Proceeding)

BT - Oral presentation at Society of Social Medicine, Leeds, UK

ER -