Rachael A. Hughes

TL;DR: Evidence is provided that for MAR data, valid MI reduces bias even when the proportion of missingness is large, and researchers are advised to use FMI to guide choice of auxiliary variables for efficiency gain in imputation analyses, and that sensitivity analyses including different imputation models may be needed if the number of complete cases is small.

TL;DR: The results suggest that, if implemented on a population basis, the ASSIST intervention could lead to a reduction in adolescent smoking prevalence of public-health importance.

TL;DR: Choice of method for dealing with missing data is crucial for validity of conclusions, and should be based on careful consideration of the reasons for the missing data, missing data patterns and the availability of auxiliary information.

TL;DR: GWG in all stages of pregnancy was positively associated with later BMI, WC, increased odds of overweight or obesity, and central adiposity and this support initiatives aimed at optimizing prepregnancy weight.

TL;DR: Little is known regarding the long‐term, health‐related quality of life (HRQL) of survivors of esophagectomy for cancer.