Statistics bibliography 8 - statsThis two-part series will present basic statistical principles for the practicing physician to use in his or her review of the literature and to the physician engaged in clinical research. The purpose of this series is threefold: 1 to provide an overview of common epidemiological and statistical terms and concepts that can be useful to the practitioner and clinical researcher, 2 to review calculations for common epidemiological measures and statistical tests, and 3 to provide examples from the published literature of uses of statistics in medical care and research. This review is not intended to be a comprehensive presentation of epidemiology or statistics since there are already a number of excellent sources for this information 1—6 , but rather as a quick reference for practical application of statistical principles and concepts in medical care and clinical research. In this issue, Part I of the Series is presented and includes discussion of the study question, study goals, appropriate study design, and appropriate statistical tests. Some initial questions outlined below may guide the process for reviewing an article or setting up a clinical study. For example, one might observe in clinical practice that several patients taking a certain antihypertensive therapy develop pulmonary symptoms within 2 weeks of taking the drug.
Statistical Methods in Medical Research
Biology, images, analysis, design Armitage, P. Statistical methods in medical research. Blackwells, Oxford. Arthur, S. Assessing habitat selection when availability changes.
To J.O. Irwin Mentor and friend Statistical Methods in Medical Research P. ArmitageMA, PhD Emeritus Professor of Ap.
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It seems that you're in Germany. We have a dedicated site for Germany. This book covers all aspects of statistical methods in detail with applications. It presents solutions to the needs of post-graduate medical students, doctors and basic medical scientists for statistical evaluation of data. In present era, dependency on softwares for statistical analysis is eroding the basic understanding of the statistical methods and their applications. As a result, there are very few basic medical scientists capable of analyzing their research data due to lack of knowledge and ability.
Explore this JAMA essay series that explains statistical techniques in clinical research to help clinicians interpret and critically appraise the medical literature. This JAMA Guide to Statistics and Methods reviews the use of instrumental variable analysis in observational and randomized studies and how, under specific assumptions, they can provide unbiased estimates of treatment effects even if unobserved confounding exists. This JAMA Guide to Statistics and Methods reviews the use of cost-effectiveness analysis to quantify the tradeoffs in costs, harms, and benefits of new health care interventions compared with existing interventions. This JAMA Guide to Statistics and Methods discusses the marginal effects approach to express the strength of the association between a risk factor and a binary outcome from a logistic regression. This Guide to Statistics and Methods discusses analytical approaches to accounting for differences in treatment effect by study center when randomized trials enroll patients and administer interventions at multiple sites. This JAMA Guide to Statistics and Methods explains the calculations and concepts underlying the NNT as a summary statistic of effect, and the assumptions underlying the measure that affect its interpretation.
Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. The book does not require a significant level of mathematical knowledge and couches the methods in multiple examples drawn from clinical medicine, giving it applicable context. Medical and public health students, both at the graduate and undergraduate level; physicians and researchers. Foreword to the Second Edition, W.