Estimands: improving inference in randomized controlled trials in clinical nutrition in the presence of missing values

TY - JOUR

T1 - Estimands: improving inference in randomized controlled trials in clinical nutrition in the presence of missing values

AU - Ritz, Christian

AU - Rønn, Birgitte

N1 - CURIS 2018 NEXS 315

PY - 2018

Y1 - 2018

N2 - For randomized controlled trials, the impact of the amount and handling of missing data on the interpretation of the treatment effect has been unclear. The current use of intention to treat, per protocol, and complete-case analysis has shortcomings. The use of estimands may lead to improved estimation of treatment effects through more precise characterizations of the fate of treatments after dropout or other post-randomization events. A perspective on current and future developments with a view toward clinical nutrition is provided.

AB - For randomized controlled trials, the impact of the amount and handling of missing data on the interpretation of the treatment effect has been unclear. The current use of intention to treat, per protocol, and complete-case analysis has shortcomings. The use of estimands may lead to improved estimation of treatment effects through more precise characterizations of the fate of treatments after dropout or other post-randomization events. A perspective on current and future developments with a view toward clinical nutrition is provided.

U2 - 10.1038/s41430-018-0207-x

DO - 10.1038/s41430-018-0207-x

M3 - Journal article

C2 - 30185858

AN - SCOPUS:85052870638

SN - 0954-3007

VL - 72

SP - 1291

EP - 1295

JO - European Journal of Clinical Nutrition

JF - European Journal of Clinical Nutrition

IS - 9

ER -