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Using Health Data addresses the enduring problem faced by most healthcare workers: the transformation and presentation of data into;
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Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning;
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methods with epidemic data Improvement case studies using data for learning A must read resource for those committed to improving health;
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of collecting and using global health data.;
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studying health care, Data Management and Analysis Using JMP: Health Care Case Studies bridges the gap between taking traditional statistics;
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Human Services on using and improving performance measurement in publicly funded health programs and the implications for data needs and systems;
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. Health Services Research and Analytics Using Excel (R) is a practical resource for graduate and advanced undergraduate students in programs;
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Improve clinical performance and demonstrate value to health care purchasers and insurers by becoming a data detective within your;
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for Health for ArcGIS Desktop 10.8 introduces you to preparing, visualizing, and analyzing health data. Using a hands-on approach with real;
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. Introductory Statistics for Health & Nursing using SPSS is also accompanied by a companion website containing data-sets and examples for use by;
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. Introductory Statistics for Health & Nursing using SPSS is also accompanied by a companion website containing data-sets and examples for use by;
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of evidence to examine health disparities using population-health data. For each statistical approach discussed in this book, Thanh V. Tran and Keith;
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Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand;
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Remote health monitoring using wearable sensors is an important research area involving several key steps: physiological parameter sensing;
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of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it;
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of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it;
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This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data;
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This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data;
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Health Econometrics Using Stata by Partha Deb, Edward C. Norton, and Willard G. Manning provides an excellent overview of the methods used;
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Measuring Capacity to Care Using Nursing Data presents evidence-based solutions regarding the adoption of safe staffing principles and;
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, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal;
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, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal;
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Income and Poverty Measurement in Surveys of Health Insurance Coverage--John L. Czajka 11 Using Uninsured Data to Track State CHIP Programs;
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professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the;
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Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to;
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practical approach for improving system reliability using conditioned-based data (CBD) to the monitoring and management of health of systems. This;
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methodology.* illustrated throughout by worked examples using real data.* suitability for health care professionals with limited statistical knowledge;
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