A E Raftery
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Explore the profile of A E Raftery including associated specialties, affiliations and a list of published articles.
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Articles
12
Citations
420
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Recent Articles
1.
Mulder J, Raftery A
Sociol Methods Res
. 2022 Jul;
51(2):471-498.
PMID: 35814310
The Schwarz or Bayesian information criterion (BIC) is one of the most widely used tools for model comparison in social science research. The BIC however is not suitable for evaluating...
2.
Green A, McCormick T, Raftery A
Biometrika
. 2020 May;
107(2):497-504.
PMID: 32454530
Respondent-driven sampling is an approach for estimating features of populations that are difficult to access using standard survey tools, e.g., the fraction of injection drug users who are HIV positive....
3.
Yeung K, Gooley T, Zhang A, Raftery A, Radich J, Oehler V
Bioinformatics
. 2012 Feb;
28(6):823-30.
PMID: 22296787
Motivation: Selecting a small number of signature genes for accurate classification of samples is essential for the development of diagnostic tests. However, many genes are highly correlated in gene expression...
4.
Brown T, Salomon J, Alkema L, Raftery A, Gouws E
Sex Transm Infect
. 2008 Jul;
84 Suppl 1:i5-i10.
PMID: 18647867
The UNAIDS Estimation and Projection Package (EPP) was developed to aid in country-level estimation and short-term projection of HIV/AIDS epidemics. This paper describes advances reflected in the most recent update...
5.
Alkema L, Raftery A, Brown T
Sex Transm Infect
. 2008 Jul;
84 Suppl 1:i11-i16.
PMID: 18647860
Objective: To construct confidence intervals for HIV prevalence in countries with generalised epidemics. Methods: In the Bayesian melding approach, a sample of country-specific epidemic curves describing HIV prevalence over time...
6.
Viallefont V, Raftery A, Richardson S
Stat Med
. 2001 Dec;
20(21):3215-30.
PMID: 11746314
Covariate and confounder selection in case-control studies is often carried out using a statistical variable selection method, such as a two-step method or a stepwise method in logistic regression. Inference...
7.
Yeung K, Fraley C, Murua A, Raftery A, Ruzzo W
Bioinformatics
. 2001 Oct;
17(10):977-87.
PMID: 11673243
Motivation: Clustering is a useful exploratory technique for the analysis of gene expression data. Many different heuristic clustering algorithms have been proposed in this context. Clustering algorithms based on probability...
8.
Volinsky C, Raftery A
Biometrics
. 2000 Apr;
56(1):256-62.
PMID: 10783804
We investigate the Bayesian Information Criterion (BIC) for variable selection in models for censored survival data. Kass and Wasserman (1995, Journal of the American Statistical Association 90, 928-934) showed that...
9.
Merli M, Raftery A
Demography
. 2000 Apr;
37(1):109-26.
PMID: 10748993
Under the current family planning policy in China, the criterion for evaluating all parties involved in the birth planning system provides an incentive for everyone to see that the policy...
10.
Raftery A, Lewis S, Aghajanian A
Demography
. 1995 May;
32(2):159-82.
PMID: 7664958
Is the onset of fertility decline caused by structural socioeconomic changes or by the transmission of new ideas? The decline of marital fertility in Iran provides a quasi-experimental setting for...