2004 journal article

Score tests for dose effect in the presence of non-responders

STATISTICS IN MEDICINE, 23(23), 3581–3591.

By: X. Luo n, D. Boos n & R. Tamura*

author keywords: mixture model; likelihood ratio test; simple linear regression; EM algorithm; permutation test
MeSH headings : Algorithms; Benzodiazepines / administration & dosage; Biometry / methods; Clinical Trials as Topic / statistics & numerical data; Dose-Response Relationship, Drug; Humans; Injections, Intramuscular; Likelihood Functions; Linear Models; Models, Statistical; Monte Carlo Method; Olanzapine; Pharmaceutical Preparations / administration & dosage; Psychomotor Agitation / drug therapy; Schizophrenia / drug therapy
TL;DR: This paper focuses on hypothesis testing in a dose–response framework and shows that increased power is possible by using a mixture model where both the logit of the response rate and the response mean are linear functions of the dose level. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.