Literature DB >> 8187721

Multiple comparisons in long-term toxicity studies.

L Hothorn1.   

Abstract

Several multiple comparison procedures (MCPs) are discussed in relation to the specific formulation of type I and type II errors in toxicity studies and the typical one-way design control versus k treatment/dose groups. Examples for these MCPs are: the standard many-to-one MCP (Dunnett's procedure), sequential rejection modifications, closed testing procedures, many-to-one MCPs with an ordered alternative hypothesis, procedures based on the assumption of a mixing distribution of responders and nonresponders, and MCP's for multiple end points.

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Year:  1994        PMID: 8187721      PMCID: PMC1566902          DOI: 10.1289/ehp.94102s133

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  14 in total

1.  Procedures for two-sample comparisons with multiple endpoints controlling the experimentwise error rate.

Authors:  W Lehmacher; G Wassmer; P Reitmeir
Journal:  Biometrics       Date:  1991-06       Impact factor: 2.571

2.  A non-parametric equivalent of Williams' test for contrasting increasing dose levels of a treatment.

Authors:  E Shirley
Journal:  Biometrics       Date:  1977-06       Impact factor: 2.571

3.  Two-sample rank tests for detecting changes that occur in a small proportion of the treated population.

Authors:  R A Johnson; S Verrill; D H Moore
Journal:  Biometrics       Date:  1987-09       Impact factor: 2.571

4.  A note on Shirley's nonparametric test for comparing several dose levels with a zero-dose control.

Authors:  D A Williams
Journal:  Biometrics       Date:  1986-03       Impact factor: 2.571

5.  The comparison of several dose levels with a zero dose control.

Authors:  D A Williams
Journal:  Biometrics       Date:  1972-06       Impact factor: 2.571

6.  A test for differences between treatment means when several dose levels are compared with a zero dose control.

Authors:  D A Williams
Journal:  Biometrics       Date:  1971-03       Impact factor: 2.571

7.  Procedures for comparing samples with multiple endpoints.

Authors:  P C O'Brien
Journal:  Biometrics       Date:  1984-12       Impact factor: 2.571

8.  Statistical analysis of the Ames Salmonella/microsome test.

Authors:  B H Margolin; N Kaplan; E Zeiger
Journal:  Proc Natl Acad Sci U S A       Date:  1981-06       Impact factor: 11.205

9.  Chronic postweaning lead exposure and response duration performance.

Authors:  D A Cory-Slechta; S T Bissen; A M Young; T Thompson
Journal:  Toxicol Appl Pharmacol       Date:  1981-08       Impact factor: 4.219

10.  Detection of a treatment effect when not all experimental subjects will respond to treatment.

Authors:  P I Good
Journal:  Biometrics       Date:  1979-06       Impact factor: 2.571

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  1 in total

1.  Bayesian multiple imputation for missing multivariate longitudinal data from a Parkinson's disease clinical trial.

Authors:  Sheng Luo; Andrew B Lawson; Bo He; Jordan J Elm; Barbara C Tilley
Journal:  Stat Methods Med Res       Date:  2012-12-12       Impact factor: 3.021

  1 in total

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