Application of tipping-point analysis to address missing data in clinical studies / 中华流行病学杂志
Chinese Journal of Epidemiology
; (12): 674-678, 2017.
Article
em Zh
| WPRIM
| ID: wpr-736237
Biblioteca responsável:
WPRO
ABSTRACT
To use a visualized method,tipping-point analysis to address missing data in clinical study and discuss related problems.All the possible outcomes caused by missing data were listed and the tipping points where P-values of hypothesis test changed at 0.05 significant level were found out,then the ratio of P<0.05 was calculated,reflecting the reliability of the study's result.Tipping-point analysis can be applied to both continuous and binary data to help find points where p-values are changed.The area of P<0.05 of continuous data is 93.6%,indicating that the reliability of success of the study is large;and the area of P<0.05 of binary data is 29.7%,reflecting that the reliability of success of the study is small.Tipping-point analysis,which provides a visualized evidence for decision making,is suitable for analyzing clinical studies with missing data.
Texto completo:
1
Base de dados:
WPRIM
Tipo de estudo:
Prognostic_studies
Idioma:
Zh
Revista:
Chinese Journal of Epidemiology
Ano de publicação:
2017
Tipo de documento:
Article