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期刊名:Journal of the royal statistical society series a-statistics in society

缩写:J R STAT SOC A STAT

ISSN:0964-1998

e-ISSN:1467-985X

IF/分区:1.6/Q2

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共收录本刊相关文章索引176
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
Stuart R Lipsitz,Garrett M Fitzmaurice,Joseph G Ibrahim et al. Stuart R Lipsitz et al.
In a large, prospective longitudinal study designed to monitor cardiac abnormalities in children born to HIV-infected women, instead of a single outcome variable, there are multiple binary outcomes (e.g., abnormal heart rate, abnormal blood...
Ardo van den Hout,Fiona E Matthews Ardo van den Hout
A continuous time three-state model with time-dependent transition intensities is formulated to describe transitions between healthy and unhealthy states before death. By using time continuously, known death times can be taken into account....
Stuart G Baker,Nancy R Cook,Andrew Vickers et al. Stuart G Baker et al.
Because many medical decisions are based on risk prediction models constructed from medical history and results of tests, the evaluation of these prediction models is important. This paper makes five contributions to this evaluation: (1) th...
Adam Glynn,Jon Wakefield,Mark S Handcock et al. Adam Glynn et al.
In this paper, we illustrate that combining ecological data with subsample data in situations in which a linear model is appropriate provides three main benefits. First, by including the individual level subsample data, the biases associate...
Casey Olives,Marcello Pagano,Megan Deitchler et al. Casey Olives et al.
Traditional lot quality assurance sampling (LQAS) methods require simple random sampling to guarantee valid results. However, cluster sampling has been proposed to reduce the number of random starting points. This study uses simulations to ...
William J Browne,Fiona Steele,Mousa Golalizadeh et al. William J Browne et al.
We consider the application of Markov chain Monte Carlo (MCMC) estimation methods to random-effects models and in particular the family of discrete time survival models. Survival models can be used in many situations in the medical and soci...
Julian P T Higgins,Simon G Thompson,David J Spiegelhalter Julian P T Higgins
Meta-analysis in the presence of unexplained heterogeneity is frequently undertaken by using a random-effects model, in which the effects underlying different studies are assumed to be drawn from a normal distribution. Here we discuss the j...
Christopher H Jackson,Simon G Thompson,Linda D Sharples Christopher H Jackson
Health economic decision models are subject to considerable uncertainty, much of which arises from choices between several plausible model structures, e.g. choices of covariates in a regression model. Such structural uncertainty is rarely a...
Rebecca M Turner,David J Spiegelhalter,Gordon C S Smith et al. Rebecca M Turner et al.
Policy decisions often require synthesis of evidence from multiple sources, and the source studies typically vary in rigour and in relevance to the target question. We present simple methods of allowing for differences in rigour (or lack of...
Gwyn Bevan,Richard Hamblin Gwyn Bevan
Following devolution, differences developed between UK countries in systems of measuring performance against a common target that ambulance services ought to respond to 75% of calls for what may be immediately life threatening emergencies (...