Methods In Biostatistics PDF Books

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Methods In Biostatistics For Medical Students

Methods In Biostatistics
Author: B. K. Mahajan
Publisher:
ISBN:
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Methods in Biostatistics for Medical Students
Language: en
Pages: 198
Authors: B. K. Mahajan
Categories: Biometry
Type: BOOK - Published: 1970 - Publisher:
Books about Methods in Biostatistics for Medical Students
Regression Methods in Biostatistics
Language: en
Pages: 512
Authors: Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch
Categories: Medical
Type: BOOK - Published: 2012-03-06 - Publisher: Springer Science & Business Media
This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes. Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way. The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided.
Methods in Biostatistics
Language: en
Pages: 360
Authors: BK Mahajan
Categories: Science
Type: BOOK - Published: 2008-12-01 - Publisher: Jaypee Brothers,Medical Publishers Pvt. Limited
Books about Methods in Biostatistics
Basic Epidemiological Methods and Biostatistics
Language: en
Pages: 433
Authors: Randy M. Page, Galen E. Cole, Thomas C. Timmreck
Categories: Medical
Type: BOOK - Published: 1995 - Publisher: Jones & Bartlett Learning
This text is an easy-to-understand, application-oriented guidebook for learning the basic principles of epidemiologic investigation. Numerous opportunities are presented to apply and test learning through problems and application exercises. Answers are provided.
Methods of Biostatistics
Language: en
Pages: 308
Authors: T. Bhaskara Rao
Categories: Biometry
Type: BOOK - Published: 2004 - Publisher: Paras Medical Publisher
Books about Methods of Biostatistics
Statistical Methods for Biostatistics and Related Fields
Language: en
Pages: 370
Authors: Wolfgang Härdle, Yuichi Mori, Philippe Vieu
Categories: Medical
Type: BOOK - Published: 2006-11-24 - Publisher: Springer Science & Business Media
This book covers a wide range of recent statistical methods that are of interest to scientists in biostatistics as well as in other related fields such as chemometrics, environmetrics and geophysics. The contributed papers, from internationally recognized researchers, present various statistical methodologies together with a selected scope of their main mathematical properties and their application in a real case study.
Methods in Biostatistics for Medical Students and Research Workers
Language: en
Pages: 334
Authors: B.K. Mahajan
Categories: Biometry
Type: BOOK - Published: 1989 - Publisher:
Books about Methods in Biostatistics for Medical Students and Research Workers
Mahajan’s Methods in Biostatistics For Medical Students and Research Workers
Language: en
Pages: 430
Authors: Arun Bhadra Khanal
Categories: Medical
Type: BOOK - Published: 2015-06-20 - Publisher: Jaypee Brothers,Medical Publishers Pvt. Limited
Books about Mahajan’s Methods in Biostatistics For Medical Students and Research Workers
Robust Methods in Biostatistics
Language: en
Pages: 292
Authors: Stephane Heritier, Eva Cantoni, Samuel Copt, Maria-Pia Victoria-Feser
Categories: Medical
Type: BOOK - Published: 2009-05-11 - Publisher: John Wiley & Sons
Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the postulated models as it is the case for example with outliers. Robust Methods in Biostatistics proposes robust alternatives to common methods used in statistics in general and in biostatistics in particular and illustrates their use on many biomedical datasets. The methods introduced include robust estimation, testing, model selection, model check and diagnostics. They are developed for the following general classes of models: Linear regression Generalized linear models Linear mixed models Marginal longitudinal data models Cox survival analysis model The methods are introduced both at a theoretical and applied level within the framework of each general class of models, with a particular emphasis put on practical data analysis. This book is of particular use for research students,applied statisticians and practitioners in the health field interested in more stable statistical techniques. An accompanying website provides R code for computing all of the methods described, as well as for analyzing all the datasets used in the book.
Smoothing Methods in Statistics
Language: en
Pages: 338
Authors: Jeffrey S. Simonoff
Categories: Mathematics
Type: BOOK - Published: 1996-06-06 - Publisher: Springer Science & Business Media
This book surveys the uses of smoothing methods in statistics. The coverage has an applied focus, and is very broad, including simple and complex univariate and multivariate density estimation, nonparametric regression estimation, categorical data smoothing, and applications of smoothing to other areas of statistics. The book will be of particular interest to data analysts, as arguments generally proceed from actual data rather than statistical theory. The "Background Material" sections will interest statisticians studying the area of smoothing methods. The list of over 750 references allows researchers to find the original sources for more details. The "Computational Issues" sections provide sources for statistical software that implements the discussed methods, including both commercial and non-commercial sources. The book can also be used as a textbook for a course in smoothing. Each chapter includes exercises with a heavily computational focus based upon the data sets used in the book. "It is an excellent reference to the field and has no rival in terms of accessibility, coverage, and utility."(Journal of the American Statistical Association) "This book provides an excellent overview of smoothing methods and concepts, presenting material in an intuitive manner with many interesting graphics...This book provides a handy reference for practicing statisticians and