Key steps and common pitfalls in developing and validating risk models
L Wynants, GS Collins… - BJOG: An International …, 2017 - Wiley Online Library
Models for estimating an individual's risk of having or developing a disease are abundant in
the medical literature, yet many do not meet the methodological standards that have been …
the medical literature, yet many do not meet the methodological standards that have been …
A calibration hierarchy for risk models was defined: from utopia to empirical data
B Van Calster, D Nieboer, Y Vergouwe… - Journal of clinical …, 2016 - Elsevier
Objective Calibrated risk models are vital for valid decision support. We define four levels of
calibration and describe implications for model development and external validation of …
calibration and describe implications for model development and external validation of …
Quantifying comparison of large detrital geochronology data sets
JE Saylor, KE Sundell - Geosphere, 2016 - pubs.geoscienceworld.org
The increase in detrital geochronological data presents challenges to existing approaches
to data visualization and comparison, and highlights the need for quantitative techniques …
to data visualization and comparison, and highlights the need for quantitative techniques …
[PDF][PDF] Advanced data analysis from an elementary point of view
C Shalizi - 2013 - Citeseer
These are the notes for 36-402, Advanced Data Analysis, at Carnegie Mellon. If you are not
enrolled in the class, you should know that it's the methodological capstone of the core …
enrolled in the class, you should know that it's the methodological capstone of the core …
[HTML][HTML] Deconvolution estimation in measurement error models: the R package decon
Data from many scientific areas often come with measurement error. Density or distribution
function estimation from contaminated data and nonparametric regression with errors-in …
function estimation from contaminated data and nonparametric regression with errors-in …
碎屑锆石U-Pb 年代学数据获取, 分析与比较
张凌, 王平, 陈玺赟, 殷勇 - 地球科学进展, 2020 - adearth.ac.cn
碎屑锆石U-Pb 年代学是探寻沉积物物源的重要手段, 在沉积学, 大地构造学和地貌学等领域应用
广泛. 从数据获取, 分析和比较3 个方面综述了碎屑锆石U-Pb 年代学研究的最新进展 …
广泛. 从数据获取, 分析和比较3 个方面综述了碎屑锆石U-Pb 年代学研究的最新进展 …
Shrinkage estimation and selection for multiple functional regression
H Lian - Statistica Sinica, 2013 - JSTOR
Functional linear regression is a useful extension of simple linear regression and has been
investigated by many researchers. However, the functional variable selection problem when …
investigated by many researchers. However, the functional variable selection problem when …
Smooth backfitting for errors-in-variables additive models
In this work, we develop a new smooth backfitting method and theory for estimating additive
nonparametric regression models when the covariates are contaminated by measurement …
nonparametric regression models when the covariates are contaminated by measurement …
[HTML][HTML] Varying coefficient models for sparse noise-contaminated longitudinal data
In this paper we propose a varying coefficient model for highly sparse longitudinal data that
allows for error-prone time-dependent variables and time-invariant covariates. We develop a …
allows for error-prone time-dependent variables and time-invariant covariates. We develop a …
Review in detrital zircon U-Pb geochronology: Data acquisition, analysis and comparison
Z Ling, W Ping, C Xiyun, Y Yong - Advances in Earth Science, 2020 - adearth.ac.cn
The U-Pb chronology of detritus zircon is an important method to explore sediment
provenance, which is widely used in sedimentology, geotectonics, geomorphology and …
provenance, which is widely used in sedimentology, geotectonics, geomorphology and …