Books > Business & Economics > Economics > Econometrics
|
Buy Now
Design of Observational Studies (Paperback, 2nd ed. 2020)
Loot Price: R4,070
Discovery Miles 40 700
|
|
Design of Observational Studies (Paperback, 2nd ed. 2020)
Series: Springer Series in Statistics
Expected to ship within 10 - 15 working days
|
This second edition of Design of Observational Studies is both an
introduction to statistical inference in observational studies and
a detailed discussion of the principles that guide the design of
observational studies. An observational study is an empiric
investigation of effects caused by treatments when randomized
experimentation is unethical or infeasible. Observational studies
are common in most fields that study the effects of treatments on
people, including medicine, economics, epidemiology, education,
psychology, political science and sociology. The quality and
strength of evidence provided by an observational study is
determined largely by its design. Design of Observational Studies
is organized into five parts. Chapters 2, 3, and 5 of Part I cover
concisely many of the ideas discussed in Rosenbaum's Observational
Studies (also published by Springer) but in a less technical
fashion. Part II discusses the practical aspects of using
propensity scores and other tools to create a matched comparison
that balances many covariates, and includes an updated chapter on
matching in R. In Part III, the concept of design sensitivity is
used to appraise the relative ability of competing designs to
distinguish treatment effects from biases due to unmeasured
covariates. Part IV is new to this edition; it discusses evidence
factors and the computerized construction of more than one
comparison group. Part V discusses planning the analysis of an
observational study, with particular reference to Sir Ronald
Fisher's striking advice for observational studies: "make your
theories elaborate." This new edition features updated exploration
of causal influence, with four new chapters, a new R package DOS2
designed as a companion for the book, and discussion of several of
the latest matching packages for R. In particular, DOS2 allows
readers to reproduce many analyses from Design of Observational
Studies.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.