טוען...
Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data
BACKGROUND: In the interrupted time series (ITS) approach, it is common to average the outcome of interest at each time point and then perform a segmented regression (SR) analysis. In this study, we illustrate that such ‘aggregate-level’ analysis is biased when data are missing at random (MAR) and p...
שמור ב:
| הוצא לאור ב: | Clin Epidemiol |
|---|---|
| Main Authors: | , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Dove
2020
|
| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7549500/ https://ncbi.nlm.nih.gov/pubmed/33116899 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/CLEP.S266428 |
| תגים: |
הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
|