標(biāo)題: Titlebook: Analyzing Medical Data Using S-PLUS; Brian Everitt,Sophia Rabe-Hesketh Book 2001 Springer Science+Business Media New York 2001 Analysis of [打印本頁(yè)] 作者: Mosquito 時(shí)間: 2025-3-21 17:22
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作者: Commodious 時(shí)間: 2025-3-21 20:21
Theoretische Ans?tze zur Dividendenpolitike data in some way. Which graphs and which summary statistics are most appropriate will largely depend on the type of observations and measurements that have been recorded. In this chapter, we shall illustrate the possibilities using a number of data sets containing continuous or categorical variables.作者: 子女 時(shí)間: 2025-3-22 01:24
Grundlagen der Dividendenpolitikpopulation—is central to statistics in general, and medical statistics in particular. In this chapter, we shall look at some basic inferential methods, beginning with those most suitable for continuous variables having, approximately at least, a normal distribution.作者: Watemelon 時(shí)間: 2025-3-22 06:42 作者: Perineum 時(shí)間: 2025-3-22 10:37
https://doi.org/10.1057/9780230118737ss modeling survival using several explanatory variables simultaneously analogously to linear regression or generalized linear models. The most popular, and in many cases most useful, regression model for survival data in medicine is Cox’s regression model.作者: 先驅(qū) 時(shí)間: 2025-3-22 15:26 作者: 表皮 時(shí)間: 2025-3-22 18:51 作者: 盡責(zé) 時(shí)間: 2025-3-22 23:41
Divine Free Action in Avicenna and AnselmAll of the models discussed so far assume that the dependent variable is continuous and normally distributed. In this chapter, we introduce ., which include the regression and ANOVA models of previous chapters, but can also be used for modeling non-normally distributed response variables, in particular categorical variables.作者: HEED 時(shí)間: 2025-3-23 05:25 作者: commute 時(shí)間: 2025-3-23 07:15
Generalized Linear Models I: Logistic Regression,All of the models discussed so far assume that the dependent variable is continuous and normally distributed. In this chapter, we introduce ., which include the regression and ANOVA models of previous chapters, but can also be used for modeling non-normally distributed response variables, in particular categorical variables.作者: 高射炮 時(shí)間: 2025-3-23 13:19
Describing Data,e data in some way. Which graphs and which summary statistics are most appropriate will largely depend on the type of observations and measurements that have been recorded. In this chapter, we shall illustrate the possibilities using a number of data sets containing continuous or categorical variables.作者: NUDGE 時(shí)間: 2025-3-23 17:39 作者: Root494 時(shí)間: 2025-3-23 19:20
The Analysis of Longitudinal Data,or example, are of this format. The characteristic feature of such studies is that multiple measurements of a response variable are obtained at a set of time points for each participant in the study. There are two main difficulties in the analysis of data from such longitudinal studies:作者: deadlock 時(shí)間: 2025-3-24 01:10 作者: implore 時(shí)間: 2025-3-24 05:40 作者: 膠狀 時(shí)間: 2025-3-24 07:36 作者: 冥界三河 時(shí)間: 2025-3-24 12:46
978-1-4419-3176-4Springer Science+Business Media New York 2001作者: insincerity 時(shí)間: 2025-3-24 18:11 作者: Ingrained 時(shí)間: 2025-3-24 20:55 作者: 哀求 時(shí)間: 2025-3-25 01:17
https://doi.org/10.1007/978-3-658-21893-5f statistical material. And this has been true for at least the last 20 or 30 years. The majority of clinicians now accept that the key to progress in medicine is the collection and valid interpretation of evidence, particularly quantitative evidence in the form of numerical observations and measure作者: Resign 時(shí)間: 2025-3-25 04:41
https://doi.org/10.1007/978-3-658-21893-5(1988), Chambers and Hastie (1993), Venables and Ripley (1997) and Krause and Olson (2000). In addition to providing a powerful language, the most recent versions of the software, S-PLUS 2000 and S-PLUS 6, also include an extensive graphical user interface (GUI) on Windows platforms (this is not ava作者: Ingratiate 時(shí)間: 2025-3-25 10:16 作者: DRAFT 時(shí)間: 2025-3-25 15:25 作者: Melatonin 時(shí)間: 2025-3-25 16:56 作者: 可轉(zhuǎn)變 時(shí)間: 2025-3-25 23:06 作者: interference 時(shí)間: 2025-3-26 01:38 作者: 說(shuō)明 時(shí)間: 2025-3-26 05:38 作者: 明智的人 時(shí)間: 2025-3-26 11:32
Divine Omniscience and Human Free Willed linear model, ., to model counts. Many medical and epidemiological investigations are concerned with the incidence of diseases in populations. Here, a number of people are followed up and the onset of a disease recorded for each person. The data can then be summarized by counting the total number作者: Anhydrous 時(shí)間: 2025-3-26 13:27
Divine Omniscience and Human Free Willta sets typically consist of subjects nested in higher level units, such as families or GP practices. In both types of data, we cannot assume that observations on the same subject (or cluster) are independent. Standard methods of analysis such as ANOVA or multiple regression, which assume that obser作者: 牛馬之尿 時(shí)間: 2025-3-26 17:35 作者: 衍生 時(shí)間: 2025-3-26 22:04
,Reading the Trickster’s Footsteps,onships between the response variable (or the link function of its mean) and one or more of the explanatory variables by using polynomial terms or parametric transformations. (The predictor remains linear in the parameters, of course; nonlinear models are nonlinear in their parameters and are the su作者: agglomerate 時(shí)間: 2025-3-27 02:21
https://doi.org/10.1057/9780230118737 different links and distributions (generalized linear models) and by estimating nonlinear transformations of the explanatory variables (generalized additive models). In all of these models, the explanatory variables, or transformations of these variables, are combined . to form a linear predictor. 作者: 袖章 時(shí)間: 2025-3-27 07:35 作者: 猜忌 時(shí)間: 2025-3-27 10:00 作者: 使尷尬 時(shí)間: 2025-3-27 13:58 作者: NUL 時(shí)間: 2025-3-27 21:26 作者: 表狀態(tài) 時(shí)間: 2025-3-27 23:17
https://doi.org/10.1007/978-3-031-40161-9ot considered to be random variables. In most applications of multiple regression, however, the observed values of the explanatory variables will, like the response variable, be subject to random variation. Parameter estimation and inference is then considered conditional on the observed values of the explanatory variables.作者: 抵押貸款 時(shí)間: 2025-3-28 05:21
Divine Omniscience and Human Free Willvations are independent, are therefore not valid for clustered data. Fortunately, these methods can be extended by explicitely modeling the covariances among observations within a cluster. In this chapter, we discuss how this can be done using .作者: 黃瓜 時(shí)間: 2025-3-28 09:06
https://doi.org/10.1057/9780230118737currence of a particular condition. Such observations are generally referred to by the generic term . even when the endpoint or event being considered is not death but something else. Such data generally require special techniques for analysis for two main reasons:作者: 代理人 時(shí)間: 2025-3-28 14:23
Multiple Linear Regression,ot considered to be random variables. In most applications of multiple regression, however, the observed values of the explanatory variables will, like the response variable, be subject to random variation. Parameter estimation and inference is then considered conditional on the observed values of the explanatory variables.作者: 包裹 時(shí)間: 2025-3-28 16:34 作者: Intentional 時(shí)間: 2025-3-28 20:37 作者: Debility 時(shí)間: 2025-3-29 01:57
Book 2001the details of S-PLUS and probably less technical descriptions of techniques. The book concentrates solely on medical data sets trying to demonstrate the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.作者: Absenteeism 時(shí)間: 2025-3-29 04:44 作者: Intact 時(shí)間: 2025-3-29 08:51
https://doi.org/10.1007/978-3-658-21893-5 medicine is the collection and valid interpretation of evidence, particularly quantitative evidence in the form of numerical observations and measurements. The proper use of statistical methods is central in this process.作者: 小淡水魚(yú) 時(shí)間: 2025-3-29 12:53 作者: follicle 時(shí)間: 2025-3-29 16:52 作者: 小爭(zhēng)吵 時(shí)間: 2025-3-29 23:43
Individual/Individuality/Individuation, graphical displays will be considered. Much of the material originates from the ‘visualization’ philosophy of William Cleveland as outlined in his two excellent books, . (Cleveland, 1985) and . (Cleveland, 1993). The approach can be summarized by the following two quotations from the most recent of these:作者: metropolitan 時(shí)間: 2025-3-30 02:57 作者: 浪費(fèi)物質(zhì) 時(shí)間: 2025-3-30 07:44
,Reading the Trickster’s Footsteps,stant variances of the random error terms. Finally, we consider models for . data in which there are several levels of clustering. Examples are repeated measures on subjects in hospitals, patients in wards in hospitals, or patients of GPs in cities.作者: Keshan-disease 時(shí)間: 2025-3-30 11:59
https://doi.org/10.1057/97802301187374). These parametric regression methods are widely used, but they may not give faithful data descriptions when the assumptions on which they are based are not met, or in the presence of higher order interactions among some of the explanatory variables.作者: 圣歌 時(shí)間: 2025-3-30 14:44
Prologue: Medical Statistics, medicine is the collection and valid interpretation of evidence, particularly quantitative evidence in the form of numerical observations and measurements. The proper use of statistical methods is central in this process.作者: 牢騷 時(shí)間: 2025-3-30 19:54 作者: 套索 時(shí)間: 2025-3-30 23:49 作者: Distribution 時(shí)間: 2025-3-31 02:21 作者: narcotic 時(shí)間: 2025-3-31 06:10
Generalised linear models II: Poisson regression,, a number of people are followed up and the onset of a disease recorded for each person. The data can then be summarized by counting the total number of occurrences of the disease in different subgroups of subjects sharing the same values of the important explanatory variables. The dependent variable is therefore a count.作者: Expand 時(shí)間: 2025-3-31 11:59
Linear Mixed Models II,stant variances of the random error terms. Finally, we consider models for . data in which there are several levels of clustering. Examples are repeated measures on subjects in hospitals, patients in wards in hospitals, or patients of GPs in cities.作者: 無(wú)價(jià)值 時(shí)間: 2025-3-31 16:08
Regression Trees,4). These parametric regression methods are widely used, but they may not give faithful data descriptions when the assumptions on which they are based are not met, or in the presence of higher order interactions among some of the explanatory variables.作者: filicide 時(shí)間: 2025-3-31 18:39
1431-8776 far less about the details of S-PLUS and probably less technical descriptions of techniques. The book concentrates solely on medical data sets trying to demonstrate the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.978-1-4419-3176-4978-1-4757-3285-6Series ISSN 1431-8776 Series E-ISSN 2197-5671 作者: 朝圣者 時(shí)間: 2025-3-31 22:40
,Reading the Trickster’s Footsteps,r 4); their use here allows the data to suggest the form of the relationship involved, and indirectly to suggest whether the data might be better modeled by a linear or generalized linear model which included polynomial terms of a particular degree for some, or all, of the explanatory variables.作者: 音樂(lè)戲劇 時(shí)間: 2025-4-1 05:29 作者: Collar 時(shí)間: 2025-4-1 07:43 作者: 手工藝品 時(shí)間: 2025-4-1 12:22
Nonlinear models, a constant variance. In addition to nonlinear models, we will also consider maximum likelihood estimation in situations when the likelihood equations cannot be solved analytically, because the same S-PLUS functions are often involved.作者: BUMP 時(shí)間: 2025-4-1 17:04 作者: Insufficient 時(shí)間: 2025-4-1 21:09
