Modern Statistical Methods for Health Research
- Length: 521 pages
- Edition: 1
- Language: English
- Publisher: Springer
- Publication Date: 2021-11-15
- ISBN-10: 3030724360
- ISBN-13: 9783030724368
- Sales Rank: #0 (See Top 100 Books)
This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss the statistical procedures, useful methods, and novel applications in biostatistics research. It also includes discussions of potential future directions of biomedicine and new statistical developments for health research, with the intent of stimulating research and fostering the interactions of scholars across health research related disciplines. Topics covered include:
- Health data analysis and applications to EHR data
- Clinical trials, FDR, and applications in health science
- Big network analytics and its applications in GWAS
- Survival analysis and functional data analysis
- Graphical modelling in genomic studies
The book will be valuable to data scientists and statisticians who are working in biomedicine and health, other practitioners in the health sciences, and graduate students and researchers in biostatistics and health.
Cover Front Matter Part I. Health Data Analysis and Applications to EHR Data The Effective Sample Size of EHR-Derived Cohorts Under Biased Sampling Non-Gaussian Models for Object Motion Analysis with Time-Lapse Fluorescence Microscopy Images Alternative Capture-Recapture Point and Interval Estimators Based on Two Surveillance Streams A Uniform Shrinkage Prior in Spatiotemporal Poisson Models for Count Data A Review of Multiply Robust Estimation with Missing Data Part II. Clinical Trials, FDR, and Applications in Health Science Approaches to Combining Phase II Proof-of-Concept and Dose-Finding Trials Designs of Early Phase Cancer Trials with Drug Combinations Controlling the False Discovery Rate of Grouped Hypotheses Classic Linear Mediation Analysis of Complex Survey Data Using Balanced Repeated Replication A Review of Bayesian Optimal Experimental Design on Different Models Part III. Big Data Analytics and Its Applications A Selective Review on Statistical Techniques for Big Data A Selective Overview of Recent Advances in Spectral Clustering and Their Applications A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research Variable Selection Approaches in High-Dimensional Space Estimation Methods for Item Factor Analysis: An Overview Part IV. Survival Analysis and Functional Data Analysis Functional Data Modeling and Hypothesis Testing for Longitudinal Alzheimer Genome-Wide Association Studies Mixed-Effects Negative Binomial Regression with Interval Censoring: A Simulation Study and Application to Aridity and All-Cause Mortality Among Black South Africans Over 1997–2013 Online Updating of Nonparametric Survival Estimator and Nonparametric Survival Test Part V. Statistical Modeling in Genomic Studies Graphical Modeling of Multiple Biological Pathways in Genomic Studies A Nested Clustering Method to Detect and Cluster Transgenerational DNA Methylation Sites via Beta Regressions Detecting Changepoint in Gene Expressions over Time: An Application to Childhood Obesity Back Matter
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