Complete case logistic regression with a dichotomised continuous outcome led to biased estimates
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[1] Paul Madley-Dowd,et al. The proportion of missing data should not be used to guide decisions on multiple imputation , 2019, Journal of clinical epidemiology.
[2] J. Carpenter,et al. Multiple imputation using linked proxy outcome data resulted in important bias reduction and efficiency gains: a simulation study , 2017, Emerging Themes in Epidemiology.
[3] Michael J Crowther,et al. Using simulation studies to evaluate statistical methods , 2017, Statistics in medicine.
[4] M. Munafo,et al. Maternal Smoking in Pregnancy and Offspring Depression: a cross cohort and negative control study , 2017, Scientific Reports.
[5] M. Hengartner,et al. Why Psychiatric Research Must Abandon Traditional Diagnostic Classification and Adopt a Fully Dimensional Scope: Two Solutions to a Persistent Problem , 2017, Front. Psychiatry.
[6] Ofer Harel,et al. Asymptotically Unbiased Estimation of Exposure Odds Ratios in Complete Records Logistic Regression , 2015, American journal of epidemiology.
[7] Michael G. Kenward,et al. Multiple Imputation and its Application , 2013 .
[8] D. Lawlor,et al. Cohort Profile: The Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort , 2012, International journal of epidemiology.
[9] D. Lawlor,et al. Cohort Profile: The ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children , 2012, International journal of epidemiology.
[10] J. Schafer,et al. A comparison of inclusive and restrictive strategies in modern missing data procedures. , 2001, Psychological methods.
[11] G Lewis,et al. Measuring psychiatric disorder in the community: a standardized assessment for use by lay interviewers , 1992, Psychological Medicine.
[12] Joseph G. Ibrahim,et al. Using auxiliary data for parameter estimation with non‐ignorably missing outcomes , 2001 .