Trimethoprim-induced hyperkalaemia - lessons in data mining

被引：13
作者：
Hauben, M [1 ]
机构：
[1] Pfizer Inc, New York, NY 10017 USA
来源：
BRITISH JOURNAL OF CLINICAL PHARMACOLOGY | 2004年 / 58卷 / 03期
关键词：
D O I：
10.1111/j.1365-2125.2004.02153.x
中图分类号：
R9 [药学];
学科分类号：
1007 ;
摘要：
引用
收藏
页码：338 / 339
页数：2
相关论文
共 5 条
[1]   A Bayesian neural network method for adverse drug reaction signal generation [J].
Bate, A ;
Lindquist, M ;
Edwards, IR ;
Olsson, S ;
Orre, R ;
Lansner, A ;
De Freitas, RM .
EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY, 1998, 54 (04) :315-321
[2]   Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports [J].
Evans, SJW ;
Waller, PC ;
Davis, S .
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2001, 10 (06) :483-486
[3]   A brief primer on automated signal detection [J].
Hauben, M .
ANNALS OF PHARMACOTHERAPY, 2003, 37 (7-8) :1117-1123
[4]   Drug-induced hyperkalemia: Old culprits and new offenders [J].
Perazella, MA .
AMERICAN JOURNAL OF MEDICINE, 2000, 109 (04) :307-314
[5]   Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the USFDA's spontaneous reports database [J].
Szarfman, A ;
Machado, SG ;
O'Neill, RT .
DRUG SAFETY, 2002, 25 (06) :381-392
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