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 20 years i haven't came upon one. i've got learn the authors study papers for years. As an editor, I grew to become accustomed to his booklet "The strategies of Psychiatry" as I thought of the philosophical points of the sphere. His writing is usually transparent and his pondering continuously brilliant.
In this short quantity on data and epidemiology his historic and unique observations and outlines of contemporary techniques is well worth the fee of buy on my own. a superb instance is his bankruptcy on meta-analysis. He reminds the reader why this statistical process used to be invented within the first position and is going directly to speak about major barriers, major old opinions, and the place the tactic can help. His reviews are good inspiration in and out a number of short pages he touches on concerns that appear to be infrequently mentioned within the literature. this can be a tremendous bankruptcy for a doctor to learn in the course of a time while increasingly more meta-analyses are thought of the gospel and prove as entrance web page truths.
He additionally offers 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". somebody who was once an intern or resident in in depth care settings within the Nineteen Eighties and early Nineties can bear in mind the frequent use of this equipment regardless of the inability of facts in randomized medical trials (RCTs). It grew to become the normal of care regardless of the inability of facts. He can pay homage to Feinstein his unique observations that the proof for evidence-based drugs is going past RCTs.
The final chapters are concise discussions of statistics and epidemiology yet they're whatever yet dry. An instance will be his dialogue of impact estimation and the quantity had to deal with or NNT procedure he describes the calculation and its merits. He is going directly to describe the which means of specific numbers and in addition why the context is critical. He makes use of a well timed instance of the difficulty of antidepressants and whether they result in suicidality.
This e-book succeeds as a quantity which can speedily convey the clinician and researcher up to the mark on most present issues in records and epidemiology in drugs. it isn't a ebook that experiences mathematical conception. It doesn't offer exhaustive calculations and examples. it truly is written for clinicians. it's a e-book which can supply a foundation for dialogue and seminars during this box for complex citizens utilizing a few of the author's references or contemporary literature searches to examine particular suggestions. it may even be built right into a even more finished textual content at the topic. Dr. Ghaemi brings a truly distinctive standpoint to the subject material and he has produced a truly readable publication that I hugely recommend.
George Dawson, MD
Read Online or Download A Clinician’s Guide to Statistics and Epidemiology in Mental Health: Measuring Truth and Uncertainty PDF
Best mathematicsematical statistics books
Examines numerous basics about the demeanour during which Markov choice difficulties will be competently formulated and the selection of options or their houses. assurance comprises optimum equations, algorithms and their features, likelihood distributions, sleek improvement within the Markov choice method region, particularly structural coverage research, approximation modeling, a number of pursuits and Markov video games.
Il quantity espone, nella prima parte, l. a. teoria delle decisioni in condizioni di incertezza nelle sue linee generali, senza fare riferimento a contesti applicativi specifici. Nella seconda parte vengono presentati i concetti principali della teoria dell'inferenza statistica, inclusa una panoramica delle principali 'logiche' dell'inferenza statistica.
Additional info for A Clinician’s Guide to Statistics and Epidemiology in Mental Health: Measuring Truth and Uncertainty
It is not uncommon for authors to write about “blinded studies” without informing us whether the study was randomized or not. In practice, blinding always happens with randomization (it is impossible to have a double-blind but then non-randomly decide about treatments to be given). However, it does not work the other way around. One can randomize, and not blind a study (open randomized studies) and this can be legitimate. Thus, blinding is optional; it can be present or not, depending on the study; but randomization is essential: it is what marks out the least biased kind of study.
First, such tables should never have pvalues. This is because, as described in Chapter 8, RCTs are not designed to assess the relative frequency of males or females (or Republicans vs. Democrats, or a host of other potential confounding factors) in the two groups, RCTs are designed to answer some question like whether a drug is more effective than placebo. That is the hypothesis the study is designed to test, not the frequency of 100 potential confounding variables. If p-values are used, their being positive is meaningless (due to false positive results given multiple comparisons; see Chapter 7), and their being negative is meaningless (due to false negative results since the sample may be too small to detect small differences between groups; see Chapter 7).
Effect modifier When a variable affects the relationship between exposure and outcome, then a conceptual assessment needs to be made about whether the third variable directly causes the outcome but is not caused by the exposure (then it is a confounding factor), or whether the third variable does not cause the exposure and seems to modify the exposure’s effects (then it is an effect modifier). In either case, those other variables are important to assess so that we can get a more valid understanding of the relationship between the exposures of interest and outcomes.
A Clinician’s Guide to Statistics and Epidemiology in Mental Health: Measuring Truth and Uncertainty by S. Nassir Ghaemi