Work

Global Sensitivity Analysis for Repeated Measures Studies With Informative Dropout: A Fully Parametric Approach

Year: 2014

Type: article

Source: Statistics in Biopharmaceutical Research

DOI: 10.1080/19466315.2014.966920

Authors: Daniel Scharfstein, Aidan McDermott, William Olson, Frank Wiegand

Institution: Johns Hopkins University

Language: English

Topic: Statistical Methods in Clinical Trials

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: closed

Funders: Teva Pharmaceutical Industries, Janssen Scientific Affairs

OpenAlex ID: W2097270863

FWCI: 3.166

Cites: 19

Cited by: 31

Related to: 10