Pairwise joint modeling of clustered and high-dimensional outcomes with covariate missingness in pediatric pneumonia care
Multiple outcomes reflecting different aspects of routine care are a common phenomenon in health care research. A common approach of handling such outcomes is multiple univariate analyses, an approach which does not allow for answering research questions pertaining to joint inference. In this study,...
প্রধান লেখক: | Gachau, S, Njagi, EN, Molenberghs, G, Owuor, N, Sarguta, R, English, M, Ayieko, P |
---|---|
বিন্যাস: | Journal article |
ভাষা: | English |
প্রকাশিত: |
Wiley
2022
|
অনুরূপ উপাদানগুলি
অনুরূপ উপাদানগুলি
-
Analysis of hierarchical routine data with covariate missingness: effects of audit and feedback on clinicians' prescribed pediatric pneumonia care in Kenyan hospitals
অনুযায়ী: Gachau, S, অন্যান্য
প্রকাশিত: (2019) -
Handling missing data in a composite outcome with partially observed components: simulation study based on clustered paediatric routine data
অনুযায়ী: Gachau, S, অন্যান্য
প্রকাশিত: (2021) -
Handling missing data in modelling quality of clinician-prescribed routine care: sensitivity analysis of departure from missing at random assumption
অনুযায়ী: Gachau, S, অন্যান্য
প্রকাশিত: (2020) -
Multiple Imputation for Robust Cluster Analysis to Address Missingness in Medical Data
অনুযায়ী: Arnold A. Harder, অন্যান্য
প্রকাশিত: (2024-01-01) -
A Conference (Missingness in Action) to Address Missingness in Data and AI in Health Care: Qualitative Thematic Analysis
অনুযায়ী: Christian Rose, অন্যান্য
প্রকাশিত: (2023-11-01)