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期刊名:International statistical review

缩写:INT STAT REV

ISSN:0306-7734

e-ISSN:1751-5823

IF/分区:1.8/Q1

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共收录本刊相关文章索引50
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Peter A Gao,Jonathan Wakefield Peter A Gao
Accurate estimates of subnational health and demographic indicators are critical for informing policy. Many countries collect relevant data using complex household surveys, but when data are limited, direct weighted estimates of small area ...
Elena N Naumova,Ryan B Simpson,Bingjie Zhou et al. Elena N Naumova et al.
The confluence of growing analytic capacities and global surveillance systems for seasonal infections has created new opportunities to further develop statistical methodology and advance the understanding of the global disease dynamics. We ...
Majid Asadi,Karthik Devarajan,Nader Ebrahimi et al. Majid Asadi et al.
Various statistical methodologies embed a probability distribution in a more flexible family of distributions. The latter is called elaboration model, which is constructed by choice or a formal procedure and evaluated by asymmetric measures...
Kenneth Lange,Hua Zhou Kenneth Lange
Nan Laird has an enormous and growing impact on computational statistics. Her paper with Dempster and Rubin on the expectation-maximisation (EM) algorithm is the second most cited paper in statistics. Her papers and book on longitudinal mod...
Brian J Reich,Shu Yang,Yawen Guan et al. Brian J Reich et al.
The scientific rigor and computational methods of causal inference have had great impacts on many disciplines but have only recently begun to take hold in spatial applications. Spatial causal inference poses analytic challenges due to compl...
James H McVittie,Ana F Best,David B Wolfson et al. James H McVittie et al.
Non-parametric estimation of the survival function using observed failure time data depends on the underlying data generating mechanism, including the ways in which the data may be censored and/or truncated. For data arising from a single s...
Won Son,Johan Lim,Donghyeon Yu Won Son
The fused lasso signal approximator (FLSA) is a smoothing procedure for noisy observations that uses fused lasso penalty on unobserved mean levels to find sparse signal blocks. Several path algorithms have been developed to obtain the whole...
Douglas W Dockery Douglas W Dockery
The extraordinary advances in quantifying the health effects of ambient air pollution over the last five decades have led to dramatic improvement in air quality in the United States. This work has been possible through innovative epidemiolo...
Herbert Susmann,Monica Alexander,Leontine Alkema Herbert Susmann
There is growing interest in producing estimates of demographic and global health indicators in populations with limited data. Statistical models are needed to combine data from multiple data sources into estimates and projections with unce...
Jon Wakefield,Taylor Okonek,Jon Pedersen Jon Wakefield
Small area estimation (SAE) entails estimating characteristics of interest for domains, often geographical areas, in which there may be few or no samples available. SAE has a long history and a wide variety of methods have been suggested, f...