Missing data

Part 1 of ebook "Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis (Second edition)" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - General aspects of fitting regression models; Chapter 3 - Missing data; Chapter 4 - Multi-variable modeling strategies; Chapter 5 - Describing, resampling, validating, and simplifying the model; Chapter 6 - R software; Chapter 7 - Modeling longitudinal responses using generalized least squares; Chapter 8 - Case study in data reduction;...

297p daonhiennhien 03-07-2024 1 1   Download

There is significant health inequity in the United Kingdom (U.K.), with different populations facing challenges accessing health services, which can impact health outcomes. At one London National Health Service (NHS) Trust, data showed that patients from deprived areas and minority ethnic groups had a higher likelihood of missing their first outpatient appointment.

13p vishanshan 27-06-2024 1 1   Download

Ebook "Survey methodology and missing data: Tools and techniques for practitioners" focuses on quantitative survey methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses fields as diverse as advanced weighting, editing, and imputation, which are not well-covered in corresponding survey books. Moreover, it presents numerous empirical examples from the author's extensive research experience, particularly real data sets from multinational surveys.

228p tracanhphuonghoa1007 22-04-2024 6 3   Download

The paper discusses how the traditional method of association rule mining based on user-defi ned minimum support and confi dence can result in either too many or too few association rules. This could lead to valuable information being missed or redundant rules being generated, which is not practical and can be costly to implement.

7p vijaychest 24-04-2024 3 2   Download

This study focuses on the population of halal certified food and beverages (F&B) manufacturers as disclose in JAKIM Halal Portal. About 254 questionnaire sets answered by the intended respondents out of 500 being distributed and no data are detected as missing. All questions are completely answered by the respondents. This study has confirmed the effect of Halal Certification and Labelling Process, on Halal Supply Chain performance. Having demonstrated the significance of the hypothesised effect with a substantial total variance explained (i.e.

7p longtimenosee09 08-04-2024 5 2   Download

In order to make a reliable QPE product, a quality check for rain gauge data comparing mutual rain gauge data experimented and 1) missing data ratio, 2) proportion to mean of nearly ten stations, and 3) double sum curve check was selected as thresholds to select relatively reliable rain gauge stations. As a result of the quality check for rain gauge data in May 2023, 1,299 stations were chosen, and QPE with rain gauges selected showed stable precipitation distribution.

7p vishekhar 01-11-2023 5 1   Download

Ebook "Machine learning for adaptive many core machines - A practical approach (studies in big data) 2015" includes content: Motivation and preliminaries, GPU machine learning library (GPUMLib), neural networks, handling missing data, support vector machines, incremental hypersphere classifier, non negative matrix factorization, deep belief networks

251p haojiubujain07 20-09-2023 3 3   Download

In this paper, a model combining recurrent neural networks and convolutional neural networks is proposed to build a model that can simultaneously estimate missing values and classify time series data. The experimental results demonstrate that the proposed model performs better than the existing methods for time series classification with incomplete data.

16p viengels 25-08-2023 5 5   Download

One promise of nationwide adoption of electronic health records (EHRs) is the availability of data for large-scale clinical research studies. However, because the same patient could be treated at multiple health care institutions, data from only a single site might not contain the complete medical history for that patient, meaning that critical events could be missing.

8p visteverogers 24-06-2023 6 2   Download

Examine whether individual, geographic, and economic phenotypes predict missing data on specific drug involvement in overdose deaths, manifesting inequities in overdose mortality data, which is a key data source used in measuring the opioid epidemic.

11p visteverogers 24-06-2023 3 2   Download

Large practice networks have access to EHR data that can be used to drive important improvements in population health. However, missing data often limit improvement efforts. Our goal was to determine the proportion of patients in a cohort of small primary care practices who lacked cholesterol data to calculate ASCVD risk scores and then gauge the extent that imputation can accurately identify individuals already at high risk.

4p visteverogers 24-06-2023 5 2   Download

We introduce data assimilation as a computational method that uses machine learning to combine data with human knowledge in the form of mechanistic models in order to forecast future states, to impute missing data from the past by smoothing, and to infer measurable and unmeasurable quantities that represent clinically and scientifically important phenotypes.

10p visteverogers 24-06-2023 5 2   Download

A key challenge in clinical data mining is that most clinical datasets contain missing data. Since many commonly used machine learning algorithms require complete datasets (no missing data), clinical analytic approaches often entail an imputation procedure to “fill in” missing data.

9p visteverogers 24-06-2023 4 2   Download

Like most real-world data, electronic health record (EHR)–derived data from oncology patients typically exhibits wide interpatient variability in terms of available data elements. This interpatient variability leads to missing data and can present critical challenges in developing and implementing predictive models to underlie clinical decision support for patient-specific oncology care.

11p vighostrider 25-05-2023 3 2   Download

To assess the frequency, fidelity, and impact of replication studies in the clinical decision support system (CDSS) literature. There is an urgent need to better characterize which core CDSS principles require replication, identify past replication data, and conduct missing replication studies.

11p vighostrider 25-05-2023 2 2   Download

To assess a new approach (weighting by “income probabilities [IP]”) that uses US Census data from the patients' communities to approximate individual-level income, an important but often missing variable in health services research.

13p vigamora 25-05-2023 4 2   Download

Imputation of partially missing or unobserved genotypes is an indispensable tool for SNP data analyses. However, research and understanding of the impact of initial SNP-data quality control on imputation results is still limited. In this paper, we aim to evaluate the effect of different strategies of pre-imputation quality filtering on the performance of the widely used imputation algorithms MaCH and IMPUTE.

11p vinarcissa 21-03-2023 2 1   Download

Although genome-wide association studies have successfully identified thousands of variants associated to complex traits, these variants only explain a small amount of the entire heritability of the trait. Gene-gene interactions have been proposed as a source to explain a significant percentage of the missing heritability.

9p vinarcissa 21-03-2023 1 1   Download

Machine learning is an important part of the data science field. In petrophysics, machine learning algorithms and applications have been widely approached. In this context, Vietnam Petroleum Institute (VPI) has researched and deployed several effective prediction models, namely missing log prediction, fracture zone and fracture density forecast, etc.

7p viharry 14-12-2022 8 4   Download

A new method is outlined for constructing realistic models of the mesoporous amorphous silica adsorbent, MCM-41. The procedure uses the melt-quench molecular dynamics technique. Previous methods are either computationally expensive or overly simplified, missing key details necessary for agreement with experimental data.

9p vironald 15-12-2022 5 2   Download