- MeSH
- Breast Neoplasms prevention & control MeSH
- Mass Screening MeSH
- Socialism MeSH
- Geographicals
- Historical Geographic Locations MeSH
... Statistics for Biology and Health -- Philip Hougaard -- Analysis of Multivariate Survival Data -- Survival ... ... data or more general time-to-event data occur in many areas, including medicine, biology, engineering ... ... This book is aimed at investigators who need to analyze multivariate survival data. ... ... It can be used as a textbook for a graduate course in multivariate survival data. ... ... censored data 7 -- 1.3.1 Diabetic nephropathy 8 -- 1.4 Multivariate data structures 9 -- 1.4.1 Parallel ...
Statistics for biology and health
1st ed. xvii, 542 s.
- Conspectus
- Statistika
- NML Fields
- statistika, zdravotnická statistika
- management, organizace a řízení zdravotnictví
1st ed. xiii, 283 s., čb. obr.
INTRODUCTION: Polysomnography (PSG) is one of the most important noninvasive methods for studying maturation of the child brain. Sleep in infants is significantly different from sleep in adults. This paper addresses the problem of computer analysis of neonatal polygraphic signals.
- MeSH
- Algorithms MeSH
- Principal Component Analysis MeSH
- Respiration MeSH
- Electroencephalography MeSH
- Electromyography MeSH
- Electrooculography MeSH
- Fourier Analysis MeSH
- Humans MeSH
- Markov Chains MeSH
- Brain growth & development MeSH
- Infant, Newborn MeSH
- Signal Processing, Computer-Assisted MeSH
- Eye Movements MeSH
- Polysomnography MeSH
- Term Birth physiology MeSH
- Reproducibility of Results MeSH
- Chi-Square Distribution MeSH
- Heart Rate MeSH
- Sleep Stages physiology MeSH
- Artificial Intelligence MeSH
- Check Tag
- Humans MeSH
- Infant, Newborn MeSH
- Keywords
- bioinformatika, zdravotnická elektronická dokumentace, eHealth,
- MeSH
- Databases as Topic trends utilization MeSH
- Financing, Organized MeSH
- Humans MeSH
- Evidence-Based Medicine MeSH
- Meta-Analysis as Topic MeSH
- Molecular Biology methods trends MeSH
- Hospital Information Systems trends utilization MeSH
- Registries MeSH
- Data Collection methods utilization MeSH
- Statistics as Topic MeSH
- Medical Order Entry Systems trends utilization MeSH
- Medical Informatics Applications MeSH
- Records MeSH
- Check Tag
- Humans MeSH
... Contents -- Preface vii -- 1 Introduction 1 -- 1.1 The Nature of Categorical Data 1 -- 1.2 Organization ... ... of This Book 3 -- 2 Gaussian-Based Data Analysis 7 -- 2.1 The Normal (Gaussian) Random Variable 7 -- ... ... - 22 -- 00 -- 36 -- 36 -- 3( -- 38 -- 42 -- 44 -- 45 -- 46 -- 49 -- 51 -- O I -- 52 -- Categorical Data ... ... 88 -- 93 -- 98 -- 100 -- 102 -- Contents xiii -- 4.9 Exercises 103 -- 5 Regression Models for Count Data ... ... 171 -- 5.5.1 Local Likelihood Estimation Based on One Predictor 171 -- 5.5.2 Smoothing Multinomial Data ...
Springer texts in statistics
1st ed. xiii, 496 s.
Effects of processing and extraction solvents on antioxidant properties and other characteristics were evaluated for ten medicinal plant species originating from two different localities and two production years. A combination of spectroscopic and liquid chromatography techniques possessed data for multivariate statistics. Water, 50% (v/v) ethanol, and dimethyl sulfoxide (DMSO) were compared to select the most suitable solvent for the isolation of functional components from the frozen/dried medicinal plants. DMSO and 50% (v/v) ethanol were evaluated as more efficient for phenolic compounds and colorants extraction, while water was more useful for element extraction. Drying and extraction of herbs with 50% (v/v) ethanol was the most appropriate treatment to ensure a high yield of most compounds. The satisfactory differentiation of herbs (61.8-100%) confirmed the significant effect of the processing, geographical, and seasonal factors on target functional component concentrations. Total phenolic and total flavonoid compounds content, total antioxidant activity expressed as TAA, yellowness, chroma, and browning index were identified as the most important markers for medicinal plant differentiation.
- MeSH
- Antioxidants chemistry MeSH
- Chromatography, Liquid MeSH
- Dimethyl Sulfoxide MeSH
- Ethanol chemistry MeSH
- Phenols chemistry MeSH
- Plants, Medicinal * chemistry MeSH
- Multivariate Analysis MeSH
- Seasons MeSH
- Plant Extracts chemistry MeSH
- Solvents chemistry MeSH
- Water MeSH
- Publication type
- Journal Article MeSH
In this research study we have developed a clustering-based automatic sleep spindle detection method that was evaluated on two different databases. The databases consisted of 20 all-night polysomnograph recordings. Past detection methods have been based on subject-independent and some subject-dependent parameters, such as fixed or variable thresholds to identify spindles. Using a multivariate Gaussian mixture model clustering technique, our algorithm was developed to use only subject-specific parameters to detect spindles. We have obtained an overall sensitivity range (65.1-74.1%) at a (59.55-119.7%) false positive proportion.
- MeSH
- Algorithms MeSH
- Databases, Factual * MeSH
- Adult MeSH
- Electroencephalography methods MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Multivariate Analysis MeSH
- Normal Distribution MeSH
- Polysomnography methods MeSH
- Data Collection methods MeSH
- Cluster Analysis MeSH
- Sleep physiology MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
