Описание: This scarce antiquarian book is a facsimile reprint of the original. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions that are true to the original work.
Автор: Zhao Yichuan, Chen (din) Ding-Geng Название: Modern Statistical Methods for Health Research ISBN: 3030724360 ISBN-13(EAN): 9783030724368 Издательство: Springer Цена: 17074.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1. Alternative Capture-Recapture Point and Interval Estimators Based on Two Surveillance Streams - Lyles, Wilkinson, Williamson, Chen, Taylor, Jambai, Kaiser.- 2. On-Gaussian Model Based Object Tracking Analysis with Time Lapse Fluorescence Microscopy Images - Marcus, Kong.- 3. Detecting Changepoint in Gene Expressions over Time: An Application to Childhood Obesity - Mathur, Sung.- 4. How "Big" Are EHR Data? The Effective Sample Size of EHR Data Under Biased Sampling - Hubbard.- 5. A Nested Clustering Method to Detect and Cluster Transgenerational DNA Methylation Sites via Beta Regressions - Wang, Zhang, Han, Arshad, Karmaus.- 6. Controlling the False Discovery Rate of Grouped Hypotheses - MacDonald, Wilson, Liang, Qin.- 7. Approaches to Combining Phase II Proof-of-Concept and Dose-Finding Trials - Ting.- 8. On the Multiply Robust Estimation with Missing Data - Chen, Haziza.- 9. Recent Advances in Spectral Clustering and Their Applications in Bioinformatics - Xue.- 10. Functional Data Modeling and Hypothesis Testing for Longitudinal Alzheimer Genome-Wide Association Studies - Li, Xu, Liu.- 11. Misuse of Classifiers in Biological Networks - Maharaj.- 12. A Selective Inference-based Two-stage Procedure for Clinical Safety Studies - Zhu, Guo.- 13. Inferring Stage of HCV Infections as Recent or Chronic by Machine Learning approach - Icer.- 14. Graphical Modeling of Multiple Biological Pathways in Genomic Studies - Cao, Zhang, Chen, Wang.- 15. Online Updating of Nonparametric Survival Estimator and Nonparametric Survival Test - Xue, Schifano, Hu.- 16. Mixed-Effects Negative Binomial Regression with Interval Censoring: A Simulation Study and Application to Precipitation and All-Cause Mortality Rates among Black South Africans over 1997-2013 - Landon, Lyles, Scovronick, Abadi, Bilotta, Hauer, Bell, Gribble.- 17. SAS Macros for Linear Mediation Analysis of Complex Survey Data Using Balanced Repeated Replication - Mai, Zhang.- 18. Joint Modeling of Multiple Skewed Longitudinal Processes with Excess of Zero and Time-to-Event: An Application to Fecundity Studies - Mirzaei, Kundu, Sundaram.- 19. Infectious Disease Epidemiology: Forecasting the Ongoing 2018-19 Ebola Epidemic in the Democratic Republic of Congo (DRC) Using Phenomenological Growth Models - Tariq, Chowell.- 20. Models and Estimation Methods for Item Factor Analysis: An Overview - Chen, Zhang.
Автор: Ulrik Moen, Moen Название: Crock pot 2022 ISBN: 1837520429 ISBN-13(EAN): 9781837520428 Издательство: Неизвестно Рейтинг: Цена: 6145.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bring the ink to life! Delicate, bold, easy and challenging, there`s a pattern and quote for every mood, with 120 images, ready for your imagination. Calming and relaxing, almost every type of pen, ink and pencil can be used to bring life and sparkle to this fabulous journey of discovery. Each page is perforated, and ready for you to frame.
Описание: It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data.
Описание: This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars.
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