Flexible Imputation of Missing Data (Chapman & Hall/CRC by Stef van Buuren

By Stef van Buuren

Missing facts shape an issue in each clinical self-discipline, but the recommendations required to deal with them are complex and sometimes missing. one of many nice rules in statistical science—multiple imputation—fills gaps within the info with believable values, the uncertainty of that's coded within the information itself. It additionally solves different difficulties, lots of that are lacking info difficulties in hide.

Flexible Imputation of lacking Data is supported by way of many examples utilizing actual facts taken from the author's immense event of collaborative study, and offers a realistic consultant for dealing with lacking info below the framework of a number of imputation. additionally, special information of implementation in R utilizing the author’s package deal MICE is incorporated in the course of the book.

Assuming familiarity with uncomplicated statistical ideas and multivariate tools, Flexible Imputation of lacking Data is meant for 2 audiences:

  • (Bio)statisticians, epidemiologists, and methodologists within the social and overall healthiness sciences

  • Substantive researchers who don't name themselves statisticians, yet who own the mandatory talents to appreciate the foundations and to keep on with the recipes

This graduate-tested publication avoids mathematical and technical information up to attainable: formulation are observed via a verbal assertion that explains the formulation in layperson phrases. Readers much less interested by the theoretical underpinnings may be in a position to choose up the overall notion, and technical fabric is obtainable if you happen to wish deeper figuring out. The analyses could be replicated in R utilizing a committed package deal constructed by way of the author.

Show description

Read Online or Download Flexible Imputation of Missing Data (Chapman & Hall/CRC Interdisciplinary Statistics) PDF

Best probability & statistics books

Randomized Phase II Cancer Clinical Trials (Chapman & Hall/CRC Biostatistics Series)

In melanoma learn, a standard part II trial is designed as a single-arm trial that compares the experimental remedy to a historic keep an eye on. this easy trial layout has resulted in numerous opposed concerns, together with elevated fake positivity of section II trial effects and unfavourable part III trials.

The Fence Methods

This e-book is set a lately built classification of techniques, often called the fence equipment, which inserts rather good in non-conventional and intricate version choice issues of useful concerns. the belief comprises a process to isolate a subgroup of what are referred to as right versions, of which the optimum version is a member.

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Research of Variance, layout, and Regression: Linear Modeling for Unbalanced info, moment version provides linear buildings for modeling info with an emphasis on the best way to comprise particular rules (hypotheses) concerning the constitution of the knowledge right into a linear version for the knowledge. The e-book conscientiously analyzes small info units through the use of instruments which are simply scaled to important info.

Measure Theory and Filtering: Introduction and Applications (Cambridge Series in Statistical and Probabilistic Mathematics)

The estimation of noisily saw states from a chain of knowledge has regularly integrated principles from Hilbert areas and calculus-based likelihood thought. As conditional expectation is the major thought, the proper environment for filtering concept is that of a likelihood area. Graduate engineers, mathematicians and people operating in quantitative finance wishing to exploit filtering ideas will locate within the first 1/2 this ebook an available creation to degree idea, stochastic calculus, and stochastic methods, with specific emphasis on martingales and Brownian movement.

Extra resources for Flexible Imputation of Missing Data (Chapman & Hall/CRC Interdisciplinary Statistics)

Sample text

Download PDF sample

Rated 4.88 of 5 – based on 16 votes