Reviews (1)

This *could* have been great...
At first browse, this book looks a bit like one of Julius Bendat's excellent texts on time series analysis: dense in formulas, but rewarding the wade.
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Subjects:  1. Biostatistics    2. Healing    3. Medical    4. Medical / Nursing    5. Pharmacy    6. Research    7. Social Science    8. Statistics    9. Epidemiology & medical statistics    10. Mathematics / Statistics    11. Probability & statistics   

Subjects:  1. Biostatistics    2. Mathematics    3. Probability & Statistics - General    4. Science/Mathematics    5. Mathematics / Statistics    6. Probability & statistics    7. Time Series Analysis   

Reviews (1)

Excellent Manual for Clinical Research Coordinators and Principal Investigators
I purchased this book to orient a new clinical research coordinator, and read sections myself as well.My CRC found the book well written and organized, easily understood, and containing information on a range of important topics.I found the information helpful even for an experienced principal investigator, as it gave helpful hints and templates.Overall an excellent manual; well worth the price especially considering that a course of similar or lesser content could have easily cost over $2000. ... Read more

Subjects:  1. Medical    2. Medical / Nursing    3. Research   

Reviews (1)

strom is da man
i just wanted to say that strommers is da man.yeah, really.so much.this book rocks like notin else. ... Read more

Subjects:  1. Epidemiology    2. Medical    3. Medical / Nursing    4. Pharmacoepidemiology    5. Pharmacology    6. methods    7. Medical / Pharmacology    8. Medicine: General Issues    9. Other Branches of Medicine   

Reviews (1)

The Only Proposal Guide You Need
As any graduate student will tell you acceptance onto a Ph.D program is largely based on submitting a successful proposal. Thereafter, as long as the researcher adheres to the proposal, graduation is virtually guaranteed. I am a Ph.D student who used the book to construct my proposal, which was summarily accepted by the research committee with minor changes. This appears to be contrary to what many Ph.D hopefuls experience. The book is expensive however I would highly recommend it. The proposal hurdle is well worth overcoming professionally. ... Read more

Subjects:  1. Composition & Creative Writing - Academic    2. Dissertations, Academic    3. Fund raising    4. General    5. Handbooks, manuals, etc    6. Personal & Practical Guides    7. Proposal writing in research    8. Reference    9. Research grants    10. Study Skills    11. Education / Study Skills    12. Sociology, Social Studies   

Reviews (9)

Good Primer
I bought this book in 1990 (an older version) and have never had a statistics course.I have found it to be an extremely helpful starting point for the application of statistical tests to biomedical problems.From this I have gone on and used more sophisticated tools for computation and have only rarely needed to seek out the advice of experts.
Pretty Good
I actually thought this book was pretty good.I haven't used the cd.The definitions are pretty clear.I use this in conjunction with Gordis' Epidemiology for quick review.I find Rothman and Greenland is not good for that.When I am thinking about research design and elements of statistical analysis this book is easy to turn to to just go over why one test may be better than another--I am a medical student with an MPH in epi who has worked on several research projects, and I think this book is pretty helpful as a simple aid in the transition from research assistant to co-investigator.

not buythis good-for-nothingbook(MUCH LESS THAN1 STAR)
If Ihadanenemy,Iwouldn'twish evenfor ananemyto buythisawfuland unusefulbook.Dosave your money. There is no any benefit in thisbook,just simple wasteoftime and money. Theauthorshave provided CD with NCSS and PASS, but forgot to describe how the reader can use this programand fulfil allcalculation. Theygive only the instruction to set up andalot of taskswithout any explanationof any actionsin these program.So, I curse any minutes of myreading, and cannot sayany good word about the book, its authors. NEVER BUY THISBOOK!!!! ... Read more

Subjects:  1. Biostatistics    2. Life Sciences - Biology - General    3. Medical    4. Medical / Nursing    5. Probability & Statistics - General    6. Science    7. Epidemiology & medical statistics    8. Medical / Biostatistics   

Reviews (5)

A Good Read, but Read it Carefully!
The authors provide a really nice, non-technical survey of the landscape for Cox Proportional Hazards models. A nice aspect of their treatment is the care they take to reference all highly technical texts and journal articles. For example, if you'd like to find out more about goodness-of-fit tests for survival models, the authors provide ample references to the Counting Process Theory of Martingale Residuals.
nice introduction
This book provides a good, clear, concise explanation of Cox's proportional hazards models. For someone seeking a non-mathematical description this is a great guide. The original datasets from the text examples can even be downloaded and you can go through the same process yourself. Because of some mistakes in the text, I would recomend looking at other sources as well.

Great conceptual Introduction to Cox regression analysis
I enjoyed the authors' book on logistic regression analysis in 1989, and this book is just as good, or better, with many extremely practical suggestions on building regression models for survival data.Happily, theauthors summarize, compare, and contrast several major texts on survivalanalysis which have appeared in the past 10 years.For example, theydiscuss different names used by different authors for score residuals. They present a helpful appendix on the counting process approach tosurvival analysis, which will make more advanced texts accessible tostudents;thus, anyone who wants to use survival analysis, at any level,should consult this book, even if he has already studied books by Miller,Lee, Collett, Fleming-Harington,Andersen, et al, etc.An unfortunatedrawback to this book is that the first printing contains many carelesserrors, some of which may affect student learning:for example, thedefinition of a survival function is misstated.I recommend that youinsist on the second or third printing when buying this book, and you willbe quite satisfied. ... Read more

Subjects:  1. Biostatistics    2. Computer programs    3. Data processing    4. Medical    5. Medical / Nursing    6. Medical Research    7. Medical sciences    8. Medicine    9. Probability & Statistics - General    10. Regression Analysis    11. Research    12. Science/Mathematics    13. Statistical methods    14. Mathematics / Statistics    15. Mathematics for scientists & engineers    16. Probability & statistics   

Reviews (2)

great overview of the topic
The book is very well written. It gives a great overview of the fundamental problems of causal inference in observastional studies. It has a lot of examples, homeworks and extensive references in every chapter.

up-to-date account of methods for observational studies
Many years ago the famous statistician Ronald Aylmer Fisher criticized analyses that linked lung cancer to smoking. He argued that these studies had hidden biases because they were not controlled experiments. He proposed that smokers could be different from non-smokers because of a genetic propensity to desire cigarettes and that this genetic trait could be correlated with a higher incidence of lung cancer. Thus it would be possible to see a higher frequency of lung cancer among smokers because of this genetic trait rather than because the smoking itself causes the cancer. As far-fetched as this argument may seem to us today, it is based on sound statistical principles and points out some of the potential problems that occur with observational studies.

Subjects:  1. Analysis of variance    2. Biostatistics    3. Experimental design    4. Mathematical Statistics    5. Mathematics    6. Probability & Statistics - General    7. Science/Mathematics    8. Statistics    9. Analysis    10. Bias    11. Mathematics / Statistics    12. Observational Studies    13. Sensitivity    14. Social research & statistics    15. Treatment Effects   

Reviews (16)

A good reference on shelf
It is a good refence-type textbook for epidemiology.I first used it in my introductory course of epidemiology at Harvard University's program of Master of Public Health.Even Prof. Rothman came to classroom in person for several lectures.It was a good book but accompanying books were needed for better understanding of the topic.Now I am in my PhD program at National Taiwan University, Taiwan and using the book for the 2nd time.There are still new things to discover from the book.For a reader who uses the textbook twice in graduate studies, I recommend it as a guide or outline for further exploration into the field.Advanced studies require lots of reading, aren't they?It should be on your shelf, for future reference, but not the only one.

The standard textbook in the field
With all the pros and cons of an advanced-level book written by many authors, this work is widely considered the standard text in the field. As a professor of mine says, every epidemiologist should have it on her/his bookshelf.

unnecessary details on statistics subject
I agree with many reviewers here that the book is great, but poorly organized and put too much on statistical methods. I have read through it from cover to cover for my exams.Nevertheless, the first part discussion is very good, but you need to read other books before reading Rothman's book. Acutally, I really hate Greenland's writing, it is too obscure. I would not recommend this book to students. ... Read more

Subjects:  1. Epidemiologic Methods    2. Epidemiology    3. Health/Fitness    4. Medical    5. Medical / Nursing    6. Public Health    7. Statistical methods    8. Epidemiology & medical statistics    9. Medical / Epidemiology   

Reviews (1)

Excellent overview
This second edition of Shortliffe's textbook is an excellent overview of the field. Although I used it as a course text, it is extremely readable. The chapters are not overly technical, as befits an introductory text, but by no means is this a "Dummmies" book either. Read more

Subjects:  1. Allied Health Services - Medical Technology    2. Communication In Medicine    3. Computer Applications    4. General    5. Medical    6. Medical / Nursing    7. Medical informatics    8. Research    9. Applications of Computing    10. Biomedial Informatics    11. Business mathematics & systems    12. Epidemiology & medical statistics    13. Health Informatics    14. Medical / Administration    15. Medical Computing    16. Medical equipment & techniques   

Reviews (5)

Great !
My close friend who is one of the nicest person I ever met, recommended me this book. Upon opening the first chapter, I already know that this book is amazing. My writing improves a lot. If you are an international student like me, you might also have hard time on writing as well. I guaranteed that this book is really invaluable.

Very good book, examples used bit too technical
Very good book for beginners and experienced researchers! I haven't come across any other book that actually describes how you should write a biomedical paper. The only critique is that the examples used are too technical for non-biomedical researchers, this makes it hard to understand the examples. But even if you do not have a biomedical background you will learn a lot from this book.

Authoritative
Authoritative guide on how to write.I have never seen a more comprehensive book on how to write clearly and write well.I would give it 6 stars if I could.Even non-scientists should read this.(Having said that, though, scientists IN PARTICULAR should read this - hint, hint.) ... Read more

Subjects:  1. Composition & Creative Writing - Nonfiction    2. Language Arts / Linguistics / Literacy    3. Life Sciences - Biology - General    4. Medical    5. Medical Writing    6. Publishing    7. Research    8. Technical writing    9. Writing    10. Biomedical engineering    11. English    12. Medical research    13. Science / Biology    14. Writing & editing guides    15. Writing skills   

Reviews (3)

Good, but far too prolix
I admire this book very much for its accessible treatment of AIC, but if were reduced in length by half, it would be twice as good.The authors cannot resist repeating themselves, usually several times, especially when giving advice of the "motherhood and apple pie" variety. Another annoying feature is that many references are given for philosophical points, yet sometimes when a useful result is given without proof, no reference is provided.For example, on page 12 an expression for maximized likelihood is given without a derivation or a reference.Inside this fat book there is a thin book crying to be let out.

One of the best introduction to AIC (Akaike's Information Criterion)!!!
AIC is one of the widely known methods in model selection and inference.
authoritative and thorough treatment
Burnham and Anderson have put together a scholarly account of the developments in model selection techniques from the information theoretic viewpoint. This is an important practical subject. As computer algorithms become more and more available for fitting models and data mining and exploratory analysis become more popular and used more by novices, problems with overfitting models will again raise their ugly heads. This has been an issue for statisticians for decades. But the problems and the art of model selection has not been commonly covered in elementary courses on statistics and regression. George Box puts proper emphasis on the iterative nature of model selection and the importance of applying the principle of parismony in many of his books. Classic texts on regression like Draper and Smith point out the pitfalls of goodness of ift measures like R-square and explain Mallows Cp and adjusted R-square. There are now also a few good books devoted to model selection including the book by McQuarrie and Tsai (that I recently reviewed for Amazon) and the Chapman and Hall monograph by A. J. Miller.Read more

Subjects:  1. Biology    2. Biostatistics    3. General    4. Life Sciences - Biology - General    5. Mathematical Models In Biology    6. Mathematical models    7. Mathematical statistics    8. Probability & Statistics - General    9. Science    10. Science/Mathematics    11. Inference    12. Mathematical modelling    13. Mathematics / Statistics    14. Mathematics for scientists & engineers    15. Model Selection   

Reviews (1)

Knowing What Works in Health Care
I should begin by admitting that I had the opportunity to review this little masterpiece in manuscript.Good then, it's evenbetter now.Read more

Subjects:  1. Cancer    2. Cancer Research    3. Clinical Trials    4. Mathematics    5. Medical    6. Oncology    7. Probability & Statistics - General    8. Research    9. Statistical methods    10. standards    11. Epidemiology & medical statistics    12. Medical / Oncology    13. Medical research   

Editorial Review

Whether you write an occasional professional letter or a daily newspaper column, William Zinsser's Read more

Reviews (107)

Excellent for teachers of writing and writers...
This is a keeper.Although I purchased it for a grad class I am taking, I will use it for my teaching and my own writing.
Written very well
Zinsser has certainly mastered the art of writing well, and therefore can speak on the topic authoritatively.This book is not only written with humor, but with empathy for people who are struggling with the ability to write well.The book certainly demonstrates that this ability is not inherent, but rather it is moreso the ability to work hard, understanding that writing is a process and a very messy one at that.This work can inspire the worst among us to really try at being the very best writer that we potentially can be.

Talk about verbose
I am not a fan of this book. He begins by saying Do not use complicated words when a simple one will do. Then he continues by using complicated words throughout the entire book. He proceeds by telling the reader to do everything they were told not to do: use "I" and start sentences with "but." He is the only person I have heard of that is pro "I" and I refuse to do poorly on future essays because he likes it whereas no one else does. Much of his style is completely subjective--he doesn't explain well why he likes some phrases and dislikes others. One thing I'm sure of, no matter what I'd write, he'd hate it, including this review. In my opinion, the author can be described by words he uses frequently in the book: pompous and utterly (he'd say that word is unecessary but oh, I think it is) pretentious. ... Read more

Subjects:  1. Composition & Creative Writing - General    2. English language    3. Exposition (Rhetoric)    4. Language    5. Language Arts & Disciplines    6. Reference    7. Report writing    8. Rhetoric    9. Writing Skills    10. Reference / Writing Skills    11. Writing & editing guides   

Reviews (4)

Advanced topics, excellent examples, bad writing
This textbook covers advanced epidemiology concepts that are necessary for anyone involved in research.It has excellent examples and a logical layout.The major drawback to this book is the writing style-- it is "scientifically" written (translation: hard to read). Excellent
I can't speak highly enough of this book or its authors.This is a very well-written, efficient explanation of some very advanced epidemiologic concepts.I use it to study for exams and as a reference for my own studies.

Worst epidemiology book that I have ever read.
He introduces a lot of his own idea/thoughts which are not currently acceptable by any references/texts on epidemiology. I bought it because it was a required text by my course instructor. Interaction/confounding section confused me a lot, since what he wrote in the previous section was not compatible with what was written in the next even though both are on the same topics. ... Read more

Subjects:  1. Epidemiologic Methods    2. Epidemiology    3. Medical    4. Epidemiology & medical statistics   

Reviews (3)

presents clinical trials issues and methodology clearly
This book is very unique. Basic statistical concepts are clearly presented but only those concepts that are important in clinical trials. The author presents all the issues with clinical trials including ethical issues with some historical perspective. Principles of randomization and statistical design are clearly presented. It offers discussion of Bayesian techniques and meta-analyses, cross-over designs and group sequential methods (interim analyses). For statisticians doing clinical research like myself, this is a valuable reference source.

The best start in clinical trial
The amount of knowledge and the scope of this book are the exact need for the first contact with clinical trials. Yet, it is not a simple or superficial text. Instead, it not only will guide the reader through thebasics of trials (and there is so much that is not basic in it) but theauthor points the reader to hundreds of papers and books that arelandmarks. I regard this book itself as one of these landmarks!

Most up-to-date and thorough cover of Clinical Trials
Covers many aspects of trials (particularly facets of design and analysis)not yet covered by other books, eg randomisation with minimisation, and meta-analysis of trial results. Readable, applicable,practical, good references, well structured. ... Read more

Subjects:  1. Biomedical Research    2. Clinical trials    3. Mathematics    4. Medical / Nursing    5. Probability & Statistics - General    6. Research    7. Science/Mathematics    8. Statistical methods    9. methods    10. Mathematics / Statistics    11. Pharmacology   

Reviews (1)

Comprehensive and thorough
This is an excellent easy to follow book, from which both statisticians and interested medical professionals can greatly benefit, I believe, because I am working with both.It has helped me a lot in my graduate project on data analysis of laboratory animal trials. ... Read more

Subjects:  1. Computer Books: General    2. Computers    3. Mathematical & Statistical Software    4. Medical / Nursing    5. Pharmacology    6. Pharmacy    7. Research   

Editorial Review

This is the definitive text for questions of manuscript protocol, copyediting, style, grammar, and usage. For those who find Read more

Reviews (21)

Nearly indispensable, yet thirty years old!
Somebody who had read my review of Bryan A Garner's Modern American Usage, 2nd ed. (2003)--IMHO, the preeminent book on usage, per se--wrote me the other day asking about a good book on typographical style.I recommended Words into Type which I have used for many years.But as I prepared to write a review, I was amazed to learn that a new edition of this outstanding reference work is lacking.
Recommended by the authorities
I recently posed a question to "The Chicago Manual of Style" Web site and received a very quick response along with the recommendation that my future grammar questions could best be answered by consulting "Words Into Type." That's the only recommendation I needed to convince me to buy a copy.

Great book in need of an update
This is a great style guide; however, it hasn't been updated to include technology and practice for even the late twentieth century!When talking computer technology, Words into Type talks about cathode ray tubes, for crying out loud.Having said all that, it is in many cases, much more user-friendly than the Chicago Manual of Style.Where Chicago can be vague or indecisive, Words is most helpful.Apart from the fact that Words really needs to be updated, it's an invaluable tool.Since it hasn't been updated since 1974, you'd be better offbuying a used copy than plunking down good dough for a text that's 30 years old. ... Read more

Subjects:  1. Authorship    2. Handbooks, manuals, etc    3. Printing    4. Reference    5. Style manuals    6. Writing Skills    7. Writing & editing guides    8. Editing   

Reviews (1)

risk society towards a new modernity
The Book consists of two interrelated theses. one reflexive modernization and other issue of risk. The concept of risk is directly bound to theconcept of reflexive modernization.It shows how classical modernization isdifferent from reflexive modernization.Risk may be defined as asystematic way of dealing with hazards and insecurities induced andintroduced by modernization itself.The risk and hazards of today is ofglobal nature of their threat to people,animals and plants .It results inglobal industrial pollution,contamination of air,water,foodstuffs etc. andalso sickness ,death of plants, animals and people. Another dimension ofrisk is social transformation with modernity.There is a process ofindividualization deprive class distints but inequalities by no meansdisappear.There is a shift from the system of standardised full employmentto the system of flexible and pluralised under employment.Risk ofscientific development increases disproportionately faster than solution.With the globalisation of industrial society political system looses itsfunction as modernization, technoeconomic system changes the realms ofsocial life and on other hand political systens pre-supposes condition ofthe system. ... Read more

Subjects:  1. Anthropology - Cultural    2. Archaeology / Anthropology    3. Gender Studies    4. General    5. Progress    6. Risk    7. Social Science    8. Social aspects    9. Sociological aspects    10. Sociology    11. Sociology - General    12. Technology    13. Anthropology    14. Cultural studies    15. Social Science / Sociology / General   

Reviews (16)

Controversial Dental Issue
In widespread use since the 1820s, the most commonly used dental filling material is a compound made by mixing copper, tin, silver, zinc, and mercury, commonly called "silver amalgam." The American Dental Association claims amalgam is safe, but the author counters that as the filling corrodes, mercury, which constitutes about 50 percent of the filling material, is slowly released from the filling. Mercury has a strong affinity forbiological tissue and, released from the filling material, forms methyl mercury in the body. The author explains that sufficient toxic material is released from amalgams to cause emotional disturbances, birth defects, autoimmune diseases, and a host of other ailments whose etiology is considered to be mysterious, or unknown, by conventional medical practitioners and dentists. Gold filling material is preferable to amalgam, but the gold's purity is important because other metals, especially copper which is alloyed with gold to make it sufficiently durable, may create toxicity for some patients. Compounding the problem for dental patients is the fact that most dental manufacturers are reluctant to reveal the contents of their products (most patients never ask), and the Centers for Disease Control avoids the issue by endorsing dentistry as a self-policing profession with high ethical standards which is not responsible to the CDC, but only to itself. This well-written book may provide clues to many people's unexplained health problems. Highly recommended! I'd also recommend "The Complete Book of Dental Remedies" by Flora Parsa Stay, DDS, which is a comprehensive coverage of dental problems and prevention using homeopathy, nutritional supplements, and conventional dental care.
must read if MERCURY is on your mind OR in your head!!
we slowly are learning more about the hazzards of MERCURY in our bodies. sure, we now stay away from mercury infested fish--but what about the gov. is not talking about ("truth"-not in their vocaulary) is the mercury in our vaccines--NO they are NOT safe.
Dental revision - read about the whole picture
This book was essential in my understanding of why I needed to remove all mercury from my mouth.It is the classic.I want to add that Hal Huggins' book on MS is an excellent complement because it is based on newer information Huggins has amassed, and describes the healing process very well.By writing about MS I am concerned that the rest of us who need to understand how to heal from mercury won't buy it.I highly recommend reading both books to fully grasp why and how. ... Read more

Subjects:  1. Consumer Health    2. Dental amalgams    3. Dentistry    4. Health Care Issues    5. Health/Fitness    6. Mercury    7. Toxicology    8. Clinical & Internal Medicine    9. Medical research