Source:http://linkedlifedata.com/resource/pubmed/id/18484599
Switch to
Predicate | Object |
---|---|
rdf:type | |
lifeskim:mentions | |
pubmed:issue |
17
|
pubmed:dateCreated |
2008-6-24
|
pubmed:abstractText |
Dmitrienko et al. (Statist. Med. 2007; 26:2465-2478) proposed a tree gatekeeping procedure for testing logically related hypotheses in hierarchically ordered families, which uses weighted Bonferroni tests for all intersection hypotheses in a closure method by Marcus et al. (Biometrika 1976; 63:655-660). An algorithm was given to assign weights to the hypotheses for every intersection. The purpose of this note is to show that any weight assignment algorithm that satisfies a set of sufficient conditions can be used in this procedure to guarantee gatekeeping and independence properties. The algorithm used in Dmitrienko et al. (Statist. Med. 2007; 26:2465-2478) may fail to meet one of the conditions, namely monotonicity of weights, which may cause it to violate the gatekeeping property. An example is given to illustrate this phenomenon. A modification of the algorithm is shown to rectify this problem.
|
pubmed:commentsCorrections | |
pubmed:language |
eng
|
pubmed:journal | |
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
|
pubmed:month |
Jul
|
pubmed:issn |
0277-6715
|
pubmed:author | |
pubmed:issnType |
Print
|
pubmed:day |
30
|
pubmed:volume |
27
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
3446-51
|
pubmed:meshHeading |
pubmed-meshheading:18484599-Algorithms,
pubmed-meshheading:18484599-Clinical Trials as Topic,
pubmed-meshheading:18484599-Data Interpretation, Statistical,
pubmed-meshheading:18484599-Decision Trees,
pubmed-meshheading:18484599-Endpoint Determination,
pubmed-meshheading:18484599-Humans,
pubmed-meshheading:18484599-Research Design
|
pubmed:year |
2008
|
pubmed:articleTitle |
A note on tree gatekeeping procedures in clinical trials.
|
pubmed:affiliation |
Eli Lilly and Company, Indianapolis, IN 46285, USA. dmitrienko_alex@lilly.com
|
pubmed:publicationType |
Journal Article,
Comment,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, N.I.H., Extramural
|