seizure(tweeDEseq)
seizure()所属R语言包：tweeDEseq
Epileptic seizure counts
癫痫发作计数
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Data on seizure counts for 59 epileptics.
59癫痫发作次数的数据。
用法----------Usage----------
data(seizure)
格式----------Format----------
A data frame with 236 observations on the following 6 variables.
与236对以下6个变量的观测数据框。
id a numeric vector, identification number for each patient
id数字向量，为每一个病人的身份证号码
count a numeric vector, seizure counts
count一个数值向量，扣押数
visit a numeric vector, visit number
visit一个数值向量，参观人数
trx a numeric vector, treatment: progabide (1) or placebo (0)
trx数字向量，治疗：progabide（1）或安慰剂（0）
baseline a numeric vector, baseline 8 week seizure count
baseline一个数值向量，基准8周检计数
age a numeric vector, age of patient
age一个数值向量，病人的年龄
Details
详情----------Details----------
The data are from a placebo-controlled clinical trial of 59 epileptics. Patients with partial seizures were enrolled in a randomized clinical trial of the anti-epileptic drug, progabide. Participants in the study were randomized to either progabide or a placebo, as an adjuvant to the standard anti-epileptic chemotherapy. Progabide is an anti-epileptic drug whose primary mechanism of action is to enhance gamma-aminobutyric acid (GABA) content; GABA is the primary inhibitory neurotransmitter in the brain. Prior to receiving treatment, baseline data on the number of epileptic seizures during the preceding 8-week interval were recorded. Counts of epileptic seizures during 2-week intervals before each of four successive post-randomization clinic visits were recorded.
从59癫痫患者的安慰剂对照临床试验数据。部分性发作的患者参加了一项随机临床试验的抗癫痫药物，progabide。在研究参与者随机分配到使用progabide或安慰剂，作为一个辅助的标准抗癫痫化疗的。 progabide是抗癫痫药物，其主要作用机制是增强γ-氨基丁酸（GABA）含量; GABA是主要在大脑中的抑制性神经递质。接受治疗前，前8周的时间间隔期间癫痫发作的基准数据进行了记录。癫痫发作期间连续四次后随机就诊前2周的时间间隔计数。
源----------Source----------
P.F Thall, and S.C. Vail (1990). Some covariance models for longitudinal count data with overdispersion. Biometrics, 46, 657-671,
P.F Thall，和南卡罗来纳维尔（1990）。有些偏大离差的纵向计数数据的协方差模型。生物识别技术，46，657-671
参考文献----------References----------
overdispersed count data by mixtures of poisson variables and poisson processes. Biometrics 53, pages 1225-1238.
参见----------See Also----------
testPoissonTweedie mlePoissonTweedie
testPoissonTweediemlePoissonTweedie
举例----------Examples----------
# Although this is not a differential expression dataset, it is appropriate[虽然这不是一个差异表达数据集，它是适当的]
# to illustrate the application of the Poisson-Tweedie in[说明应用的Poisson-Tweedie爵士在]
# epidemiological studies[流行病学研究]
data(seizure)
summary(seizure)
# Aggregate[合计]
aggCounts <- aggregate(x = cbind(seizure$count, seizure$trx), by =
list(seizure$id), FUN = sum)
# Estimation of the three parameters for all individuals[所有个人三个参数的估计]
mleSeizure <- mlePoissonTweedie(x = aggCounts[,2], a.ini = 0, D.ini = 10)
mleSeizure
#Poisson-Tweedie test[泊松-特威迪测试]
testPoissonTweedie(x = aggCounts[,2], group = aggCounts[,3])
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注：
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发表于 2012-2-26 15:50:57
