Challenges in Dental Statistics: Survey Methodology Topics [PDF]
, 2013 This paper gathers some contributions concerning survey methodology in dental research, as discussed during the first Workshop of the SISMEC STATDENT working group on statistical methods and applications in dentistry, held in Ancona on the 28th September
Milani, S +3 more
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First trend analysis of antifungals consumption in Lebanon using the World Health Organization collaborating center for drug statistics methodology [PDF]
BMC Infect Dis, 2022 Deema Rahme +5 more
openalex +2 more sources
How many readers understand the discussion on the statistics methodology? A plea for making things reader‐friendly [PDF]
Acta Obstet Gynecol ScandShigeki Matsubara, Shizukiyo Ishikawa
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Optimal and fast detection of spatial clusters with scan statistics [PDF]
, 2010 We consider the detection of multivariate spatial clusters in the Bernoulli model with $N$ locations, where the design distribution has weakly dependent marginals.
Walther, Guenther
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Functional factor analysis for periodic remote sensing data [PDF]
, 2012 We present a new approach to factor rotation for functional data. This is achieved by rotating the functional principal components toward a predefined space of periodic functions designed to decompose the total variation into components that are nearly ...
Friedl, Mark +3 more
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Testing convex hypotheses on the mean of a Gaussian vector. Application to testing qualitative hypotheses on a regression function [PDF]
, 2005 In this paper we propose a general methodology, based on multiple testing, for testing that the mean of a Gaussian vector in R^n belongs to a convex set. We show that the test achieves its nominal level, and characterize a class of vectors over which the
Baraud, Yannick +2 more
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Q-learning with censored data [PDF]
, 2012 We develop methodology for a multistage decision problem with flexible number of stages in which the rewards are survival times that are subject to censoring.
Goldberg, Yair, Kosorok, Michael R.
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Modeling and estimation of multi-source clustering in crime and security data [PDF]
, 2013 While the presence of clustering in crime and security event data is well established, the mechanism(s) by which clustering arises is not fully understood.
Mohler, George
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Measuring influence in dynamic regression models [PDF]
, 1990 This article presents a methodology to build measures of influence in regression models with time series data. We introduce statistics that measure the influence of each observation on the parameter estimates and on the forecasts.
Peña, Daniel
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