Decision Modelling for Health Economic Evaluation (Handbooks in Health Economic Evaluation)

This is a very strong book on advanced applied outcomes/cost-effectiveness research. I suppose this would not be the first thing I gave an undergraduate with no background in health or health economic research to use to learn applied cost-effectiveness, but it IS what I give to my research assistants when they come to work for me. There are many, many remedial and beginning books on this subject. The author's here are to be commended for trying to push the field forward towards using more rigorous evaluation methods. There are applied exercises that provide code to interested students who would like to learn how to create their own cost-effectiveness analyses. It is difficult to argue with the person who called this a manual for health care rationing. There are some in the United States, generally funded by the pharmaceutical or medical device industries, always Republican, who simply reject the notion of rigorously evaluating any health care expenditure for value and utility. These same people often wear three cornered hats, carry don't tread on me flags, and scream about the deficit without any comprehensive that health expenditures are the cause of our deficit. Its an incoherent position and one that has no place denigrating a strong book such as this one.

This book is an excellent "how-to" for building economic cost-effectiveness models for healthcare. The bulk of it focuses on what I would describe as intermediately complex situations such as Monte Carlo simulation of decision trees and how to build Markov Models. It definitely assumes that you have already been introduced to economic evaluation conceptually and will be a bit too brief for someone looking to be taught the field from scratch. I'm honestly surprised by some of the experienced modelers dislike of this book in the other reviewer comments. It has a very exercise-heavy approach that may be tedious for those too experienced, but I picked this up after doing a theory course and it was the perfect supplement to put some of that work into practice.

Introduction to Pharmacoeconomic Modeling provides detailed information about models, variance, heterogeneity and uncertainty surrounding these different models. This book is very informative and detailed. I like how every topic is separated and easy to find.

Easy to read through and follow even for non professional

I'm neutral on this one. Healthcare modeling is my mien, but this wasn't that useful.

LO compre y para aplicación Kindle para PC. Fue tan demorada la descarga que pensé que la compra había sido fallida y de nuevo lo compré. Ahora aparece comprado dos veces y no descarga ninguno. Pido ayuda para devolver uno y activar la descarga del otro o de lo contrario hacer la devolución ce los dos. Muchas gracias. Javier González R.

this is must for people starting on modeling (health economics) Very clear explanations. Starting from a pretty basic level dut going deep enought to get a good understanding on the rationale and procedures in modeling

I've read this book from cover to cover, and was not able to get much from it. It is a very puzzling text. Someone who is not already familiar with the basics of economic evaluation would probably not understand the book. That's because quite a bit of background seems to be assumed, and little basic explanation is given. Others -- like me -- who do know the basics are likely to be confused because of the poor writing style and the authors' frequent allusions to matters they do not discuss. Take pages 176-179 for instance. There, the authors say that information, once generated "has public good characteristics and is nonrival". As an economist, I know what that means; non-economists will not have a clue. On page 177, they refer to "negative threshold space" -- whatever that is?!? Fig 6.4 on page 178 is missing a curve that is referenced in the text proper. And on page 179, we learn that "... there is no such thing as perfect information but it does place an upper bound on the returns to research". If it does not exist, then how can it "place an upper bound" on anything? The authors love to claim -- repeatedly that "clearly" something is so and that "it should be clear that" other things are true. I didn't find it so.

Easy and interesting read, no prior knowledge needed. The book covers the essentials in the domain.

Schnell geliefert, alles in Ordnung

One of the best modeling books I have ever read. The step-by-step teaching of modeling techniques in this book is unparalleled by my standards. Wonderful book! Thank you.

Book is in good condition, some marks on the outside and note taking on the inside which can be expected with a second hand book. Happy overall

Ein gutes und verständliches Buch für die Anwendung von MM. Der Kauf lohnt sich in jedem Fall, vor allem wenn man am Anfang der Materie steht.