Statistical analysis on detecting signals of adverse drug events with drug-drug interactions

Yu Ting Huang; Shih Fang Lin; Von Wun Soo

Statistical analysis on detecting signals of adverse drug events with drug-drug interactions

Yu Ting Huang^*, Shih Fang Lin, Von Wun Soo

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Adverse drug reaction (ADR) may cost a lot of unnecessary medical resources and lead to extra suffering on patients. To provide the prompt information about ADR and avoid the rate of occurrence of ADR is an important task yet to be done. The US Food and Drug Administration (FDA) provides an Adverse Event Reporting System (AERS) which contains a lot of clinical reports about ADRs. However, in many cases the biologists still do not know exactly how the observed events are actually caused by drug-drug interactions. We use the statistical hypothesis testing method based on scoring process to discover the associations between drugs and adverse drug events.

Original language	English
Title of host publication	Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
Pages	970-976
Number of pages	7
State	Published - 2008
Externally published	Yes
Event	2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008 - Las Vegas, NV, United States Duration: 14 07 2008 → 17 07 2008

Publication series

Name	Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008

Conference

Conference	2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
Country/Territory	United States
City	Las Vegas, NV
Period	14/07/08 → 17/07/08

Cite this

Huang, Y. T., Lin, S. F., & Soo, V. W. (2008). Statistical analysis on detecting signals of adverse drug events with drug-drug interactions. In Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008 (pp. 970-976). (Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008).

Huang, Yu Ting ; Lin, Shih Fang ; Soo, Von Wun. / Statistical analysis on detecting signals of adverse drug events with drug-drug interactions. Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008. 2008. pp. 970-976 (Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008).

@inproceedings{4fcc634af2ee4b51bb9dc05059064045,

title = "Statistical analysis on detecting signals of adverse drug events with drug-drug interactions",

abstract = "Adverse drug reaction (ADR) may cost a lot of unnecessary medical resources and lead to extra suffering on patients. To provide the prompt information about ADR and avoid the rate of occurrence of ADR is an important task yet to be done. The US Food and Drug Administration (FDA) provides an Adverse Event Reporting System (AERS) which contains a lot of clinical reports about ADRs. However, in many cases the biologists still do not know exactly how the observed events are actually caused by drug-drug interactions. We use the statistical hypothesis testing method based on scoring process to discover the associations between drugs and adverse drug events.",

author = "Huang, {Yu Ting} and Lin, {Shih Fang} and Soo, {Von Wun}",

year = "2008",

language = "英语",

isbn = "1601320558",

series = "Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008",

pages = "970--976",

booktitle = "Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008",

note = "2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008 ; Conference date: 14-07-2008 Through 17-07-2008",

}

Huang, YT, Lin, SF & Soo, VW 2008, Statistical analysis on detecting signals of adverse drug events with drug-drug interactions. in Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008. Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008, pp. 970-976, 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008, Las Vegas, NV, United States, 14/07/08.

Statistical analysis on detecting signals of adverse drug events with drug-drug interactions. / Huang, Yu Ting; Lin, Shih Fang; Soo, Von Wun.
Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008. 2008. p. 970-976 (Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Statistical analysis on detecting signals of adverse drug events with drug-drug interactions

AU - Huang, Yu Ting

AU - Lin, Shih Fang

AU - Soo, Von Wun

PY - 2008

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N2 - Adverse drug reaction (ADR) may cost a lot of unnecessary medical resources and lead to extra suffering on patients. To provide the prompt information about ADR and avoid the rate of occurrence of ADR is an important task yet to be done. The US Food and Drug Administration (FDA) provides an Adverse Event Reporting System (AERS) which contains a lot of clinical reports about ADRs. However, in many cases the biologists still do not know exactly how the observed events are actually caused by drug-drug interactions. We use the statistical hypothesis testing method based on scoring process to discover the associations between drugs and adverse drug events.

AB - Adverse drug reaction (ADR) may cost a lot of unnecessary medical resources and lead to extra suffering on patients. To provide the prompt information about ADR and avoid the rate of occurrence of ADR is an important task yet to be done. The US Food and Drug Administration (FDA) provides an Adverse Event Reporting System (AERS) which contains a lot of clinical reports about ADRs. However, in many cases the biologists still do not know exactly how the observed events are actually caused by drug-drug interactions. We use the statistical hypothesis testing method based on scoring process to discover the associations between drugs and adverse drug events.

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M3 - 会议稿件

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SN - 1601320558

SN - 9781601320551

T3 - Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008

SP - 970

EP - 976

BT - Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008

T2 - 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008

Y2 - 14 July 2008 through 17 July 2008

ER -

Statistical analysis on detecting signals of adverse drug events with drug-drug interactions

Abstract

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Conference

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