By S. Nassir Ghaemi
There's a professor of psychiatry available in the market who does a greater task than Nassir Ghaemi in transmitting his knowledge on to you - yet in two decades i haven't stumbled on one. i've got learn the authors examine papers for years. As an editor, I grew to become conversant in his e-book "The techniques of Psychiatry" as I thought of the philosophical facets of the sphere. His writing is often transparent and his pondering constantly brilliant.
In this short quantity on information and epidemiology his old and unique observations and outlines of contemporary ideas is definitely worth the expense of buy on my own. an exceptional instance is his bankruptcy on meta-analysis. He reminds the reader why this statistical procedure used to be invented within the first position and is going directly to speak about major obstacles, major ancient opinions, and the place the strategy may also help. His evaluations are good suggestion in and out a number of short pages he touches on matters that appear to be infrequently mentioned within the literature. this can be a huge bankruptcy for a doctor to learn in the course of a time whilst progressively more meta-analyses are thought of the gospel and turn out as entrance web page truths.
He additionally presents a "defense and feedback" of proof established medication. He presents a philosophical context for the dialogue and reminds us of "the cult of the Swan-Ganz catheter". a person who used to be an intern or resident in extensive care settings within the Nineteen Eighties and early Nineties can bear in mind the common use of this machine regardless of the shortcoming of facts in randomized scientific trials (RCTs). It turned the normal of care regardless of the inability of proof. He will pay homage to Feinstein his unique observations that the facts for evidence-based medication is going past RCTs.
The final chapters are concise discussions of records and epidemiology yet they're whatever yet dry. An instance will be his dialogue of influence estimation and the quantity had to deal with or NNT approach he describes the calculation and its benefits. He is going directly to describe the which means of specific numbers and likewise why the context is necessary. He makes use of a well timed instance of the difficulty of antidepressants and whether they bring about suicidality.
This booklet succeeds as a quantity that could speedily carry the clinician and researcher on top of things on most modern subject matters in data and epidemiology in drugs. it isn't a e-book that reports mathematical concept. It doesn't supply exhaustive calculations and examples. it truly is written for clinicians. it's a booklet which can offer a foundation for dialogue and seminars during this box for complicated citizens utilizing a few of the author's references or fresh literature searches to examine particular ideas. it may well even be constructed right into a even more complete textual content at the topic. Dr. Ghaemi brings a really distinct point of view to the subject material and he has produced a really readable e-book that I hugely recommend.
George Dawson, MD
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There is a professor of psychiatry available in the market who does a greater activity than Nassir Ghaemi in transmitting his knowledge on to you - yet in two decades i have never came upon one. i've got learn the authors study papers for years. As an editor, I turned accustomed to his publication "The thoughts of Psychiatry" as I thought of the philosophical features of the sphere.
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Extra info for A Clinician’s Guide to Statistics and Epidemiology in Mental Health: Measuring Truth and Uncertainty
Here the issue is whether the investigator or the subject measures, or assesses, the outcome validly. The basic idea is that in subjective outcomes (such as pain), the subject or investigator might be biased in favor of what is being studied. In more objective outcomes (such as mortality), this bias will be less likely. Blinding (single – of the subject, double – of the subject and investigator) is used to minimize this bias. Many clinicians mistake blinding for randomization. It is not uncommon for authors to write about “blinded studies” without informing us whether the study was randomized or not.
But in fact, it should be clear by now that there is much more to statistics than p-values (or hypothesis-testing methods). In fact, statistics has little to do with p-values, or, more correctly, p-values have as much to do with statistics as alcohol has to do with sociability: too much of the former ruins the latter. Background The concept of the p-value comes from Ronald Fisher, in his work on randomization of crops for agriculture. P-values are, in effect, a statistical attempt to solve the philosophical problem called the problem of induction (see Chapter 10).
In fact, statistics has little to do with p-values, or, more correctly, p-values have as much to do with statistics as alcohol has to do with sociability: too much of the former ruins the latter. Background The concept of the p-value comes from Ronald Fisher, in his work on randomization of crops for agriculture. P-values are, in effect, a statistical attempt to solve the philosophical problem called the problem of induction (see Chapter 10). If we observe something, we can never be 100% absolutely certain that what we have observed actually happened.
A Clinician’s Guide to Statistics and Epidemiology in Mental Health: Measuring Truth and Uncertainty by S. Nassir Ghaemi