Journal article

Multiple imputation for handling missing outcome data when estimating the relative risk

Thomas R Sullivan, Katherine J Lee, Philip Ryan, Amy B Salter

BMC Medical Research Methodology | BMC | Published : 2017

DOI: 10.1186/s12874-017-0414-5

Grants

Awarded by National Health and Medical Research Council Career Development Fellowship

Funding Acknowledgements

The work was supported by funding from an Australian Government Research Training Program Scholarship (Thomas R Sullivan) and a National Health and Medical Research Council Career Development Fellowship (Katherine J Lee, ID 1053609).

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Keywords

Ratios
Trials
Life Sciences & Biomedicine
Cohort
Bias
Risk Assessment
Missing Data
Fully Conditional Specification
Computer Simulation
Humans
Data Collection
Health Care Sciences & Services
Poisson Regression Approach
Outcome and Process Assessment (health Care)
Relative Risk
Models, Statistical
Epidemiologic Research Design
Outcome and Process Assessment, Health Care
Data Interpretation, Statistical
Science & Technology
Multiple Imputation
Biomedical Research