Handling missing values in the analysis of between-hospital differences in ordinal and dichotomous outcomes: a simulation study

Study specific prediction intervals for random‐effects meta‐analysis: A tutorial

(2021) Robbie C. M. Aert et al.   Research Synthesis Methods

Multiple imputation methods for handling incomplete longitudinal and clustered data where the target analysis is a linear mixed effects model

(2020) Md Hamidul Huque et al.   BIOMETRICAL JOURNAL

Endovascular treatment for acute ischaemic stroke in routine clinical practice: prospective, observational cohort study (MR CLEAN Registry)

(2018) Ivo G H Jansen et al.   BMJ-British Medical Journal

Endovascular treatment for acute ischaemic stroke in routine clinical practice: prospective, observational cohort study (MR CLEAN Registry)

(2018) Ivo G H Jansen et al.   BMJ-British Medical Journal

Standardizing Patient Outcomes Measurement

(2016) Michael E. Porter et al.   NEW ENGLAND JOURNAL OF MEDICINE

Bias and Precision of the “Multiple Imputation, Then Deletion” Method for Dealing With Missing Outcome Data

(2015) Thomas R. Sullivan et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Variation and Trends in the Documentation of National Institutes of Health Stroke Scale in GWTG-Stroke Hospitals

(2015) Mathew J. Reeves et al.  

Variation and Trends in the Documentation of National Institutes of Health Stroke Scale in GWTG-Stroke Hospitals

(2015) Mathew J. Reeves et al.   Circulation-Cardiovascular Quality and Outcomes

Estimating recruitment rates for routine use of patient reported outcome measures and the impact on provider comparisons

(2014) Andrew Hutchings et al.   BMC HEALTH SERVICES RESEARCH

Tuning multiple imputation by predictive mean matching and local residual draws

(2014) Tim P Morris et al.   BMC Medical Research Methodology

Feasibility of using administrative data to compare hospital performance in the EU

(2014) O. Groene et al.   INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE

Shrinkage in Nonlinear Mixed-Effects Population Models: Quantification, Influencing Factors, and Impact

(2012) Xu Steven Xu et al.   AAPS Journal

Sensitivity Analysis When Data Are Missing Not-at-random

(2011) Noémie Resseguier et al.   EPIDEMIOLOGY

Impact of missing data on standardised mortality ratios for acute myocardial infarction: evidence from the Myocardial Ischaemia National Audit Project (MINAP) 2004-7

(2011) C. P. Gale et al.   HEART

Missing Data Analysis Using Multiple Imputation

(2010) Yulei He  

On the Assessment of Monte Carlo Error in Simulation-Based Statistical Analyses

(2009) Elizabeth Koehler et al.   AMERICAN STATISTICIAN

A comparison of hospital performance with non-ignorable missing covariates: An application to trauma care data

(2008) Jamie J. Kirkham   STATISTICS IN MEDICINE