Abstract:
:Cluster analysis via a finite mixture model approach is considered. With this approach to clustering, the data can be partitioned into a specified number of clusters g by first fitting a mixture model with g components. An outright clustering of the data is then obtained by assigning an observation to the component to which it has the highest estimated posterior probability of belonging; that is, the ith cluster consists of those observations assigned to the ith component (i = 1,..., g). The focus is on the use of mixtures of normal components for the cluster analysis of data that can be regarded as being continuous. But attention is also given to the case of mixed data, where the observations consist of both continuous and discrete variables.
journal_name
Stat Methods Med Resjournal_title
Statistical methods in medical researchauthors
McLachlan GJ,Chang SUdoi
10.1191/0962280204sm372rasubject
Has Abstractpub_date
2004-10-01 00:00:00pages
347-61issue
5eissn
0962-2802issn
1477-0334journal_volume
13pub_type
杂志文章abstract::Sensitive questions are often involved in healthcare or medical survey research. Much empirical evidence has shown that the randomized response technique is useful for the collection of truthful responses. However, few studies have discussed methods to estimate the dependence of sensitive responses of multiple types. ...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219847492
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abstract::Age-period-cohort models are a popular tool for studying population-level rates; for example, trends in cancer incidence and mortality. Age-period-cohort models decompose observed trends into age effects that correlate with natural history, period effects that reveal factors impacting all ages simultaneously (e.g. inn...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217713033
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abstract::The semiparametric Cox regression model is often fitted in the modeling of survival data. One of its main advantages is the ease of interpretation, as long as the hazards rates for two individuals do not vary over time. In practice the proportionality assumption of the hazards may not be true in some situations. In ad...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219883905
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journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280214563100
更新日期:2015-10-01 00:00:00
abstract::In this paper, we describe a Bayesian hierarchical Poisson model for the prospective analysis of data for infectious diseases. The proposed model consists of two components. The first component describes the behavior of disease during nonepidemic periods and the second component represents the increase in disease coun...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280214527385
更新日期:2014-12-01 00:00:00
abstract:BACKGROUND:When trials are subject to departures from randomised treatment, simple statistical methods that aim to estimate treatment efficacy, such as per protocol or as treated analyses, typically introduce selection bias. More appropriate methods to adjust for departure from randomised treatment are rarely employed,...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217735560
更新日期:2019-03-01 00:00:00
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journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217749991
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journal_title:Statistical methods in medical research
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doi:10.1177/0962280219863076
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journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217747054
更新日期:2018-07-01 00:00:00
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journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280209347046
更新日期:2011-06-01 00:00:00
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journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280212466089
更新日期:2016-04-01 00:00:00
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journal_title:Statistical methods in medical research
pub_type: 杂志文章,评审
doi:10.1177/096228029900800204
更新日期:1999-06-01 00:00:00
abstract::Cohen's kappa coefficient, κ, is a statistical measure of inter-rater agreement or inter-annotator agreement for qualitative items. In this paper, we focus on interval estimation of κ in the case of two raters and binary items. So far, only asymptotic and bootstrap intervals are available for κ due to its complexity. ...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280214552881
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journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1191/0962280205sm405oa
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abstract::I comment here on a recent paper in this journal, on the fitting of truncated normal distributions by the EM algorithm. I show that the fitting of such distributions by direct numerical maximization of likelihood (rather than EM) is straightforward, contrary to an assertion made by the authors of that paper. ...
journal_title:Statistical methods in medical research
pub_type: 评论,信件
doi:10.1177/0962280217712089
更新日期:2018-12-01 00:00:00
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journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/096228029800700104
更新日期:1998-03-01 00:00:00
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journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220921912
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journal_title:Statistical methods in medical research
pub_type: 杂志文章,评审
doi:10.1177/096228029500400405
更新日期:1995-12-01 00:00:00
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journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280210370265
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journal_title:Statistical methods in medical research
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pub_type: 杂志文章
doi:10.1177/0962280215597939
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journal_title:Statistical methods in medical research
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journal_title:Statistical methods in medical research
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journal_title:Statistical methods in medical research
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