Work

Sensitivity analysis of longitudinal normal data with drop‐outs

Year: 2004

Type: article

Source: Statistics in Medicine

DOI: 10.1002/sim.1702

Authors: Pascal Minini, Michel Chavance

Institutions: Inserm, GlaxoSmithKline (France)

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: GlaxoSmithKline

OpenAlex ID: W2016405610

FWCI: 1.688

Cites: 30

Cited by: 13

Related to: 10