Home
About
FAQ
History (4)
Comparing multiple imputation methods for systematically missing subject-level data.
Imputation and Missing Indicators for Handling Missing Longitudinal Data: Data Simulation Analysis Based on Electronic Health Record Data.
Observability and its impact on differential bias for clinical prediction models.
Principal Investigator
See All 4 Pages
Find People
Find Everything
Login
to edit your profile (add a photo, awards, links to other websites, etc.)
Edit My Profile
My Person List (
0
)
Return to Top
Comparing multiple imputation methods for systematically missing subject-level data.
Kline D, Andridge R, Kaizar E. Comparing multiple imputation methods for systematically missing subject-level data. Res Synth Methods. 2017 Jun; 8(2):136-148.
View in:
PubMed
subject areas
Data Collection
Data Interpretation, Statistical
Research Design
authors with profiles
David M. Kline PhD