Testing the product of slopes in related regressions. (Record no. 3289)

MARC details
000 -LEADER
fixed length control field 02147nam a22002777a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180508s20132013 xxu||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0972-3617
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code NIHMS520123 [mid]
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code PMC4206214 [pmc]
040 ## - CATALOGING SOURCE
Original cataloging agency Ovid MEDLINE(R)
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
PMID 25346580
245 ## - TITLE STATEMENT
Title Testing the product of slopes in related regressions.
251 ## - Source
Source Advances & Applications in Statistics. 36(1):29-46, 2013 Sep 01
252 ## - Abbreviated Source
Abbreviated source Adv. Appl. Stat.. 36(1):29-46, 2013 Sep 01
253 ## - Journal Name
Journal name Advances and applications in statistics
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Year 2013
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Manufacturer FY2014
266 ## - Date added to catalog
Date added to catalog 2018-05-08
520 ## - SUMMARY, ETC.
Abstract A study was conducted of the relationships among neuroprotective factors and cytokines in brain tissue of mice at different ages that were examined on the effect of dietary restriction on protection after experimentally induced brain stroke. It was of interest to assess whether the cross-product of the slopes of pairs of variables vs. age was positive or negative. To accomplish this, the product of the slopes was estimated and tested to determine if it is significantly different from zero. Since the measurements are taken on the same animals, the models used must account for the non-independence of the measurements within animals. A number of approaches are illustrated. First a multivariate multiple regression model is employed. Since we are interested in a nonlinear function of the parameters (the product) the delta method is used to obtain the standard error of the estimate of the product. Second, a linear mixed-effects model is fit that allows for the specification of an appropriate correlation structure among repeated measurements. The delta method is again used to obtain the standard error. Finally, a non-linear mixed-effects approach is taken to fit the linear-mixed-effects model and conduct the test. A simulation study investigates the properties of the procedure.
546 ## - LANGUAGE NOTE
Language note English
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Institution MedStar Health Research Institute
657 ## - INDEX TERM--FUNCTION
Medline publication type Journal Article
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Shetty, Veena
790 ## - Authors
All authors Arumugam TV, Mattson MP, Morrell CH, Phillips T, Shetty V, Wan R
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Journal Article
Item type description Article
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          MedStar Authors Catalog MedStar Authors Catalog 05/08/2018   25346580 25346580 05/08/2018 05/08/2018 Journal Article

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