Essential Statistical Methods for Medical Statistics

✍ Scribed by J Philip Miller

Publisher: Elsevier Science
Year: 2010
Tongue: English
Leaves: 355
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new methods and Read more...

✦ Table of Contents

Content:
Front Matter, Page iii
Copyright, Page iv
Contributors, Pages ix-x, Bang Heejung, Peter M. Bentler, Lloyd J. Edwards, Michael C. Edwards, David V. Glidden, William H. Greene, Matthew J. Gurka, Joseph L. Hagan, Kentaro Hayashi, Bernardo Hernández, Joseph M. Hilbe, Nicholas J. Horton, Nan M. Laird, Bruno Lecoutre, Heather J. Litman, Stephen W. Looney, Madhu Mazumdar, Charles E. McCulloch, Ross L. Prentice, Stephen C. Shiboski, et al.
1 - Statistical Methods and Challenges in Epidemiology and Biomedical Research, Pages 1-26, Ross L. Prentice
2 - Statistical Methods for Assessing Biomarkers and Analyzing Biomarker Data, Pages 27-65, Stephen W. Looney, Joseph L. Hagan
3 - Linear and Non-Linear Regression Methods in Epidemiology and Biostatistics, Pages 66-103, Eric Vittinghoff, Charles E. McCulloch, David V. Glidden, Stephen C. Shiboski
4 - Count Response Regression Models, Pages 104-145, Joseph M. Hilbe, William H. Greene
5 - Mixed Models, Pages 146-173, Matthew J. Gurka, Lloyd J. Edwards
6 - Factor Analysis and Related Methods, Pages 174-201, Carol M. Woods, Michael C. Edwards
7 - Structural Equation Modeling, Pages 202-234, Kentaro Hayashi, Peter M. Bentler, Ke-Hai Yuan
8 - Statistical Modeling in Biomedical Research: Longitudinal Data Analysis, Pages 235-268, Chengjie Xiong, Kejun Zhu, Kai Yu, J. Philip Miller
9 - Sequential and Group Sequential Designs in Clinical Trials Guidelines for Practitioners, Pages 269-290, Madhu Mazumdar, Heejung Bang
10 - Estimation of Marginal Regression Models with Multiple Source Predictors, Pages 291-307, Heather J. Litman, Nicholas J. Horton, Bernardo Hernández, Nan M. Laird
11 - The Bayesian Approach to Experimental Data Analysis, Pages 308-344, Bruno Lecoutre
Subject Index, Pages 345-351

📜 SIMILAR VOLUMES

Essential Statistical Methods for Medica

📁 Essential Statistical Methods for Medical Statistics

✍ J. Philip Miller 📂 Library 📅 2011 🏛 North Holland 🌐 English

Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich history, the explosive growth o

Essential Statistics for Medical Practic

📁 Essential Statistics for Medical Practice

✍ D. G. Rees 📂 Library 📅 2017 🏛 Chapman & Hall 🌐 English

A firm understanding of the basic statistical methods used in current medical literature is now essential for medical practice, as research papers have become increasingly statistical in nature. This book has a unique, case-study approach, starting with six actual research papers showing which stati

Statistics - Statistical Methods for Dat

📁 Statistics - Statistical Methods for Data Analysis

📂 Library 🌐 English

Essential Medical Statistics

📁 Essential Medical Statistics

✍ Betty R. Kirkwood, Jonathan A. C. Sterne 📂 Library 📅 2003 🏛 Blackwell Science 🌐 English

Blackwell Publishing is delighted to announce that this book has been Highly Commended in the 2004 BMA Medical Book Competition. Here is the judges' summary of this book:"This is a technical book on a technical subject but presented in a delightful way. There are many books on

Statistical Methods and Analyses for Med

📁 Statistical Methods and Analyses for Medical Devices

✍ Scott A. Pardo 📂 Library 📅 2023 🏛 Springer 🌐 English

This book provides a reference for people working in the design, development, and manufacturing of medical devices. While there are no statistical methods specifically intended for medical devices, there are methods that are commonly applied to various problems in the design, manufacturing, a

Statistical Methods and Analyses for Med

📁 Statistical Methods and Analyses for Medical Devices

✍ Scott A. Pardo 📂 Library 📅 2023 🏛 Springer Nature 🌐 English

This book provides a reference for people working in the design, development, and manufacturing of medical devices. While there are no statistical methods specifically intended for medical devices, there are methods that are commonly applied to various problems in the design, manufacturing, and qua