The Elements of Statistical Learning

Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome H.

doi:10.1007/978-0-387-84858-7

Cited by 20,750 publications

(10,812 citation statements)

References 8 publications

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“…To avoid overfitting the data, extensive validation is needed (Hastie et al 2009). For example, test set validation divides a bucket table into two parts, one serving as model set and the other as an independent test set.…”

Section: Resultsmentioning

confidence: 99%

NMR-Based Screening for Inborn Errors of Metabolism: Initial Results from a Study on Turkish Neonates

et al. 2014

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Approximately 1 in 400 neonates in Turkey is affected by inherited metabolic diseases. This high prevalence is at least in part due to consanguineous marriages. Standard screening in Turkey now covers only three metabolic diseases (phenylketonuria, congenital hypothyroidism, and biotinidase deficiency). Once symptoms have developed, tandem-MS can be used, although this currently covers only up to 40 metabolites. NMR potentially offers a rapid and versatile alternative.We conducted a multi-center clinical study in 14 clinical centers in Turkey. Urine samples from 989 neonates were collected and investigated by using NMR spectroscopy in two different laboratories. The primary objective of the present study was to explore the range of variation of concentration and chemical shifts of specific metabolites without clinically relevant findings that can be detected in the urine of Turkish neonates. The secondary objective was the integration of the results from a healthy reference population of neonates into an NMR database, for routine and completely automatic screening of congenital metabolic diseases.Both targeted and untargeted analyses were performed on the data. Targeted analysis was aimed at 65 metabolites. Limits of detection and quantitation were determined by generating urine spectra, in which known concentrations of the analytes were added electronically as well as by real spiking. Untargeted analysis involved analysis of the whole spectrum for abnormal features, using statistical procedures, including principal component analysis. Outliers were eliminated by model building. Untargeted analysis was used to detect known and unknown compounds and jaundice, proteinuria, and acidemia. The results will be used to establish a database to detect pathological concentration ranges and for routine screening.

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Section: Resultsmentioning

confidence: 99%

NMR-Based Screening for Inborn Errors of Metabolism: Initial Results from a Study on Turkish Neonates

et al. 2014

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“…To account for the uncertainty in the relationship between the ICF categories and the GH score due to the convenience sample of patients and missing values in the independent variables, especially in the ICF categories, the data set was imputed 1,000 times, and then a bootstrap sample (i.e., a random sample with replacement and of equal size to the original data set) (38) was drawn from each imputed data set and group lasso was applied to each of the 1,000 resulting data sets. Based on this procedure, the mean of the regression coefficients over the 1,000 trials and their pointwise 90% (percentile) confidence intervals were obtained.…”

Section: Data Collectionmentioning

confidence: 99%

Statistical validation of the brief International Classification of Functioning, Disability and Health Core Set for osteoarthritis based on a large international sample of patients with osteoarthritis

Oberhauser¹,

Escorpizo

Boonen

et al. 2013

Arthritis Care & Research

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Objective. With the International Classification of Functioning, Disability and Health (ICF), the impact of health conditions on functioning and disability can be described. A Comprehensive and a Brief ICF Core Set for osteoarthritis (OA) were developed. Our specific aims were to validate the Brief ICF Core Set for OA using a novel approach, i.e., to identify ICF categories that best explain patients' functioning, and to propose a statistically validated version. Methods. We performed a psychometric study using group lasso regression on data from a convenience sample of 879 OA patients from 20 countries. The general health subscale of the Medical Outcomes Study Short Form 36 was used as a dependent variable, and all ICF categories of the Comprehensive ICF Core Set for OA and some sociodemographic and disease-specific characteristics were used as independent variables. The most relevant ICF categories were identified as those showing a significant effect based on the pointwise 90% confidence intervals resulting from 1,000 bootstrap trials. Results. The set of ICF categories that best explains patients' functioning consists of 4 body functions, 2 body structures, 2 activities and participation, and 3 environmental factors. Twelve of the original 13 Brief ICF Core Set categories were confirmed, and 3 additional ICF categories were identified. Conclusion. Our findings reassure the validity of the Brief ICF Core Set for OA. The statistically validated Core Set with the additional statistically derived ICF categories will likely perform better with regard to discrimination and sensitivity to change in studies and trials, and should be further explored in the future. INTRODUCTIONOsteoarthritis (OA) can affect the functioning of an individual and has considerable socioeconomic burden (1,2). At the individual level, OA could negatively impact work participation and involvement with life activities such as recreation and leisure and family activities (3,4). At the societal level, OA-related burden can include increased health care cost, work productivity loss, and the need for formal or informal care to substitute for domestic responsibilities (5-8). With the increasing prevalence of obesity and the aging of the population, the burden of OA is expected to increase. as a framework and classification system to understand and describe the impact of health conditions on functioning and disability (9). The ICF is a conceptual framework and classification system on functioning, where different components of body functions, body structures, and activities and participation interact in relation to a health condition. This interaction can be influenced by contextual factors, specifically, personal and environmental factors. ICF categories, which are functioning domains, make up each component and are represented by alphanumerical codes (arranged in a hierarchy).A condition-specific ICF Core Set represents a selection of ICF categories that are specific and relevant to understand the impact of a health condition on functioning (10 ...

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“…Contributions made by both individual researchers and teams can thus extend the data infrastructure, adding components that can then be used by later researchers. For example, many of the ideas being developed elsewhere in the frontier data world(Hastie et al, 2009), such as scraping and mining CVs; scraping sites such as Linked in and department or company websites could be applied here, as could many of the techniques being developed in econometrics (Varian, 2014). …”

Section: Using the Data: Building A Community Of Practicementioning

confidence: 99%

New linked data on research investments: Scientific workforce, productivity, and public value

et al. 2015

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Longitudinal micro-data derived from transaction level information about wage and vendor payments made by federal grants on multiple U.S. campuses are being developed in a partnership involving researchers, university administrators, representatives of federal agencies, and others. This paper describes the UMETRICS data initiative that has been implemented under the auspices of the Committee on Institutional Cooperation. The resulting data set reflects an emerging conceptual framework for analyzing the process, products, and impact of research. It grows from and engages the work of a diverse and vibrant community. This paper situates the UMETRICS effort in the context of research evaluation and ongoing data infrastructure efforts in order to highlight its novel and valuable features. Refocusing data construction in this field around individuals, networks, and teams offers dramatic possibilities for data linkage, the evaluation of research investments, and the development of rigorous conceptual and empirical models. Two preliminary analyses of the scientific workforce and network approaches to characterizing scientific teams ground a discussion of future directions and a call for increased community engagement.

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The Elements of Statistical Learning

Cited by 20,750 publications

References 8 publications

NMR-Based Screening for Inborn Errors of Metabolism: Initial Results from a Study on Turkish Neonates

NMR-Based Screening for Inborn Errors of Metabolism: Initial Results from a Study on Turkish Neonates

Statistical validation of the brief International Classification of Functioning, Disability and Health Core Set for osteoarthritis based on a large international sample of patients with osteoarthritis

New linked data on research investments: Scientific workforce, productivity, and public value

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