„Statistical methods“
Suchergebnisse
10.000+ Treffer
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Relabelling in Bayesian mixture models by pivotal units
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Choice of futility boundaries for group sequential designs with two endpoints
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A comparison of the conditional inference survival forest model to random survival forests based on a simulation study as well as on two applications with time-to-event data
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Business Forecasting Among Neural Networks and Statistical Methods
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Binomial outcomes in dataset with some clusters of size two: can the dependence of twins be accounted for? A simulation study comparing the reliability of statistical methods based on a dataset of preterm infants
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A random effects meta-analysis model with Box-Cox transformation
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On comparison of net survival curves
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The effectiveness of a monetary incentive offer on survey response rates and response completeness in a longitudinal study
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Assessing the complexity of interventions within systematic reviews: development, content and use of a new tool (iCAT_SR)
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An experimental comparison of web-push vs. paper-only survey procedures for conducting an in-depth health survey of military spouses
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Assessing the impact of natural policy experiments on socioeconomic inequalities in health: how to apply commonly used quantitative analytical methods?
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Protocol for the development of a salutogenic intrapartum core outcome set (SIPCOS)
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Maximising response from GPs to questionnaire surveys: do length or incentives make a difference?
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Assessing the validity of the Global Activity Limitation Indicator in fourteen European countries
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Efficient confidence limits for adaptive one-arm two-stage clinical trials with binary endpoints
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Erratum to: Sample size calculations for cluster randomised controlled trials with a fixed number of clusters
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Editorial: quantitative analysis of neuroanatomy
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Applied Survival Analysis Using R
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Cover Feature: Quantifying the Long‐Range Coupling of Electronic Properties in Proteins with ab initio Molecular Dynamics (Chemistry ‐ Methods 8/2021) **
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A methodology for developing dermatological datasets: lessons from retrospective data collection for AI-based applications