東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Novel Statistical Methods Applied in...

White, Richard Aubrey.

Linked to FindBook

Google Book

Amazon

博客來

Novel Statistical Methods Applied in Clinical Trials and Gut Microbiota.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Novel Statistical Methods Applied in Clinical Trials and Gut Microbiota./
Author:	White, Richard Aubrey.
Description:	81 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-03(E), Section: B.
Contained By:	Dissertation Abstracts International74-03B(E).
Subject:	Biology, Biostatistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3543021
ISBN:	9781267715180

Novel Statistical Methods Applied in Clinical Trials and Gut Microbiota.
White, Richard Aubrey.

Novel Statistical Methods Applied in Clinical Trials and Gut Microbiota. - 81 p.

Source: Dissertation Abstracts International, Volume: 74-03(E), Section: B.

Thesis (Ph.D.)--Harvard University, 2012.

Ethical clinical trials need both societal and personal equipoise. Recently, personal equipoise has been disturbed by the introduction of interim analyses; after an interim analysis has been performed the study administrators have additional information about the treatments, which is withheld from new recruits. For true informed consent, this information should be given to new study recruits to use in making a personal decision about their desired treatment. We present a method (and the rationale behind the method) that provides unbiased estimates of hazard ratios when new recruits are given information from interim analyses and allowed to choose their own treatments. We then developed a novel procedure that allows for the identification of longitudinal gut microbiota patterns (corresponding to the gut ecosystem evolving), which are associated with an outcome of interest, while appropriately controlling for the false discovery rate. Finally, using novel statistical models, we investigated the impact of POPs (in particular, non-dioxin-like polychlorinated biphenyl, IUPAC no.: 153; "PCB153") on human health through the disruption of natural gut microbiota establishment in infants. We created novel distributed lag two-part models to account for the cumulative exposure of POPs.

ISBN: 9781267715180Subjects--Topical Terms:

1018416
Biology, Biostatistics.

Novel Statistical Methods Applied in Clinical Trials and Gut Microbiota.
LDR:02136nam a2200265 4500 001 1967852
005 20141121132929.5
008 150210s2012 ||||||||||||||||| ||eng d
020 $a 9781267715180
035 $a (MiAaPQ)AAI3543021
035 $a AAI3543021
040 $a MiAaPQ $c MiAaPQ
100 1 $a White, Richard Aubrey. $3 2104940
245 1 0 $a Novel Statistical Methods Applied in Clinical Trials and Gut Microbiota.
300 $a 81 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-03(E), Section: B.
500 $a Adviser: Marcello Pagano.
502 $a Thesis (Ph.D.)--Harvard University, 2012.
520 $a Ethical clinical trials need both societal and personal equipoise. Recently, personal equipoise has been disturbed by the introduction of interim analyses; after an interim analysis has been performed the study administrators have additional information about the treatments, which is withheld from new recruits. For true informed consent, this information should be given to new study recruits to use in making a personal decision about their desired treatment. We present a method (and the rationale behind the method) that provides unbiased estimates of hazard ratios when new recruits are given information from interim analyses and allowed to choose their own treatments. We then developed a novel procedure that allows for the identification of longitudinal gut microbiota patterns (corresponding to the gut ecosystem evolving), which are associated with an outcome of interest, while appropriately controlling for the false discovery rate. Finally, using novel statistical models, we investigated the impact of POPs (in particular, non-dioxin-like polychlorinated biphenyl, IUPAC no.: 153; "PCB153") on human health through the disruption of natural gut microbiota establishment in infants. We created novel distributed lag two-part models to account for the cumulative exposure of POPs.
590 $a School code: 0084.
650 4 $a Biology, Biostatistics. $3 1018416
690 $a 0308
710 2 $a Harvard University. $b Biostatistics. $3 2104931
773 0 $t Dissertation Abstracts International $g 74-03B(E).
790 $a 0084
791 $a Ph.D.
792 $a 2012
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3543021