Iss 2012 Proceedings Volume On Longitudinal Data Analysis Subject To Measurement Errors Missing Values And Or Outliers PDF Download
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| Author | : Brajendra C. Sutradhar |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 224 |
| Release | : 2013-08-13 |
| Genre | : Mathematics |
| ISBN | : 146146871X |
Download ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers Book in PDF, ePub and Kindle
This proceedings volume contains nine selected papers that were presented in the International Symposium in Statistics, 2012 held at Memorial University from July 16 to 18. These nine papers cover three different areas for longitudinal data analysis, four dealing with longitudinal data subject to measurement errors, four on incomplete longitudinal data analysis, and the last one for inferences for longitudinal data subject to outliers. Unlike in the independence setup, the inferences in measurement errors, missing values, and/or outlier models, are not adequately discussed in the longitudinal setup. The papers in the present volume provide details on successes and further challenges in these three areas for longitudinal data analysis. This volume is the first outlet with current research in three important areas in the longitudinal setup. The nine papers presented in three parts clearly reveal the similarities and differences in inference techniques used for three different longitudinal setups. Because the research problems considered in this volume are encountered in many real life studies in biomedical, clinical, epidemiology, socioeconomic, econometrics, and engineering fields, the volume should be useful to the researchers including graduate students in these areas.
| Author | : Grace Y. Yi |
| Publisher | : CRC Press |
| Total Pages | : 648 |
| Release | : 2021-09-28 |
| Genre | : Mathematics |
| ISBN | : 1351588591 |
Download Handbook of Measurement Error Models Book in PDF, ePub and Kindle
Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, including medical research, epidemiological studies, economics, environmental studies, and survey research. While several research monographs are available to summarize methods and strategies of handling different measurement error problems, research in this area continues to attract extensive attention. The Handbook of Measurement Error Models provides overviews of various topics on measurement error problems. It collects carefully edited chapters concerning issues of measurement error and evolving statistical methods, with a good balance of methodology and applications. It is prepared for readers who wish to start research and gain insights into challenges, methods, and applications related to error-prone data. It also serves as a reference text on statistical methods and applications pertinent to measurement error models, for researchers and data analysts alike. Features: Provides an account of past development and modern advancement concerning measurement error problems Highlights the challenges induced by error-contaminated data Introduces off-the-shelf methods for mitigating deleterious impacts of measurement error Describes state-of-the-art strategies for conducting in-depth research
| Author | : Wenqing He |
| Publisher | : Springer Nature |
| Total Pages | : 339 |
| Release | : 2022-10-27 |
| Genre | : Science |
| ISBN | : 3031083296 |
Download Advances and Innovations in Statistics and Data Science Book in PDF, ePub and Kindle
This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation.
| Author | : Kees van Montfort |
| Publisher | : Springer |
| Total Pages | : 364 |
| Release | : 2014-10-07 |
| Genre | : Mathematics |
| ISBN | : 3642553451 |
Download Developments in Statistical Evaluation of Clinical Trials Book in PDF, ePub and Kindle
This book describes various ways of approaching and interpreting the data produced by clinical trial studies, with a special emphasis on the essential role that biostatistics plays in clinical trials. Over the past few decades the role of statistics in the evaluation and interpretation of clinical data has become of paramount importance. As a result the standards of clinical study design, conduct and interpretation have undergone substantial improvement. The book includes 18 carefully reviewed chapters on recent developments in clinical trials and their statistical evaluation, with each chapter providing one or more examples involving typical data sets, enabling readers to apply the proposed procedures. The chapters employ a uniform style to enhance comparability between the approaches.
| Author | : Brajendra C. Sutradhar |
| Publisher | : Springer |
| Total Pages | : 267 |
| Release | : 2016-06-15 |
| Genre | : Mathematics |
| ISBN | : 331931260X |
Download Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data Book in PDF, ePub and Kindle
This proceedings volume contains eight selected papers that were presented in the International Symposium in Statistics (ISS) 2015 On Advances in Parametric and Semi-parametric Analysis of Multivariate, Time Series, Spatial-temporal, and Familial-longitudinal Data, held in St. John’s, Canada from July 6 to 8, 2015. The main objective of the ISS-2015 was the discussion on advances and challenges in parametric and semi-parametric analysis for correlated data in both continuous and discrete setups. Thus, as a reflection of the theme of the symposium, the eight papers of this proceedings volume are presented in four parts. Part I is comprised of papers examining Elliptical t Distribution Theory. In Part II, the papers cover spatial and temporal data analysis. Part III is focused on longitudinal multinomial models in parametric and semi-parametric setups. Finally Part IV concludes with a paper on the inferences for longitudinal data subject to a challenge of important covariates selection from a set of large number of covariates available for the individuals in the study.
| Author | : Alexandru Cernat |
| Publisher | : Oxford University Press |
| Total Pages | : 304 |
| Release | : 2021-03-18 |
| Genre | : Science |
| ISBN | : 0192603981 |
Download Measurement Error in Longitudinal Data Book in PDF, ePub and Kindle
Longitudinal data is essential for understanding how the world around us changes. Most theories in the social sciences and elsewhere have a focus on change, be it of individuals, of countries, of organizations, or of systems, and this is reflected in the myriad of longitudinal data that are being collected using large panel surveys. This type of data collection has been made easier in the age of Big Data and with the rise of social media. Yet our measurements of the world are often imperfect, and longitudinal data is vulnerable to measurement errors which can lead to flawed and misleading conclusions. Measurement Error in Longitudinal Data tackles the important issue of how to investigate change in the context of imperfect data. It compiles the latest advances in estimating change in the presence of measurement error from several fields and covers the entire process, from the best ways of collecting longitudinal data, to statistical models to estimate change under uncertainty, to examples of researchers applying these methods in the real world. This book introduces the essential issues of longitudinal data collection, such as memory effects, panel conditioning (or mere measurement effects), the use of administrative data, and the collection of multi-mode longitudinal data. It also presents some of the most important models used in this area, including quasi-simplex models, latent growth models, latent Markov chains, and equivalence/DIF testing. Finally, the use of vignettes in the context of longitudinal data and estimation methods for multilevel models of change in the presence of measurement error are also discussed.
| Author | : Yunqi Ji |
| Publisher | : |
| Total Pages | : 422 |
| Release | : 2011 |
| Genre | : Error analysis (Mathematics) |
| ISBN | : |
Download Analysis of Longitudinal Categorical and Count Data Subject to Measurement Error Book in PDF, ePub and Kindle
| Author | : Xian Liu |
| Publisher | : Elsevier |
| Total Pages | : 531 |
| Release | : 2015-09-01 |
| Genre | : Mathematics |
| ISBN | : 0128014822 |
Download Methods and Applications of Longitudinal Data Analysis Book in PDF, ePub and Kindle
Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: descriptive methods for delineating trends over time linear mixed regression models with both fixed and random effects covariance pattern models on correlated errors generalized estimating equations nonlinear regression models for categorical repeated measurements techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists. From novice to professional: this book starts with the introduction of basic models and ends with the description of some of the most advanced models in longitudinal data analysis Enables students to select the correct statistical methods to apply to their longitudinal data and avoid the pitfalls associated with incorrect selection Identifies the limitations of classical repeated measures models and describes newly developed techniques, along with real-world examples.
| Author | : Professor Catrien C J H C J H Bijleveld |
| Publisher | : SAGE |
| Total Pages | : 462 |
| Release | : 1998-10-26 |
| Genre | : Social Science |
| ISBN | : 9781446231586 |
Download Longitudinal Data Analysis Book in PDF, ePub and Kindle
By looking at the processes of change over time - by carrying out longitudinal studies - researchers answer questions about learning, development, educational growth, social change and medical outcomes. However, longitudinal research has many faces. This book examines all the main approaches as well as newer developments (such as structural equation modelling, multilevel modelling and optimal scaling) to enable the reader to gain a thorough understanding of the approach and make appropriate decisions about which technique can be applied to the research problem. Conceptual explanations are used to keep technical terms to a minimum; examples are provided for each approach; issues of design, measurement and significance are considered; and a standard notation is used throughout.
| Author | : Peter Diggle |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 280 |
| Release | : 1994 |
| Genre | : Mathematics |
| ISBN | : |
Download Analysis of Longitudinal Data Book in PDF, ePub and Kindle
Describes statistical models and methods for the analysis of longitudinal data, with a strong emphasis on applications in the biological and health sciences. Addressed to advanced undergraduates or first-year graduates in statistics, and may also be accessible to readers with less technical knowledge but more experience in longitudinal studies. Annotation copyright by Book News, Inc., Portland, OR
