JAMA guide to statistics and methods

著者

書誌事項

JAMA guide to statistics and methods

[edited by] Edward H. Livingston, Roger J. Lewis

McGraw-Hill Education, c2020

  • [: pbk.]

タイトル別名

Guide to statistics and methods

大学図書館所蔵 件 / 全6件

この図書・雑誌をさがす

注記

Includes bibliographical references and index

内容説明・目次

内容説明

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. The world-renowned experts at JAMA (R) explain statistical analysis and the methods used in medical research Written in the language and style appropriate for clinicians and researchers, this new JAMA Guide to Statistics and Methods provides explanations and expert discussion of the statistical analytic approaches and methods used in the medical research reported in articles appearing in JAMA and the JAMA Network journals. This addition to the JAMAevidence (R) series is particularly timely and necessary because today's physicians and other health care professionals must pursue lifelong learning to keep up with the ever-expanding universe of new medical science and evidence-based clinical information. Readers and users of research articles must have a firm grasp of the myriad new statistical, analytic, and methodologic approaches used in contemporary medical studies. To provide concrete examples, the explanations in the book link to research articles that incorporate the specific statistical test or methodological approach being discussed.

目次

Part I: Interventional Studies Section I: Overall Trial Strategy Noninferiority Trials Does-Finding Trials Pragmatic Trials Cluster Randomized Trials Section II: Clinical Trial Design Samples Size Calculation for a Hypothesis Test Minimal Clinically Importance Difference Section III: Enrollment, Allocation of Treatment, Ethics Randomization Strategies Equipoise in Research Section IV: Measurement of Outcome Time-to-Event Analysis Utility and Composite Outcomes Missing Data Section V:Analysis and Interpretation of Results The Intention-to-Treat Principle Analyzing Repeated Measurements/Mixed Models Logistic Regression Logistic Regression Diagnostics Variable Selection in Regression Multiple Comparison Procedures Gatekeeping Strategies Multiple Imputation Interpretation of Clinical Trials that Stopped Early Bayesian Modeling Section VI: Application of Results Decision Curve Analysis Methods for Evaluating Changes in Health Care Meta-Analysis Possible: Psychiatry VP loannidis Part II: Observational Studies Section I: Study Design Case-Control Studies Matched Case-Control Studies Section II: Assessment of Risk Factors and Exposures Mendelian Randomization Confounding in Observational Studies Confounding by Indication Section III: Analysis and Interpretation of Results The Propensity Score Covariate Adjustment Possible Instrumental Variable Matching Genetic Association Studies Section IV: Application of Results Evaluation Discrimination of Risk Prediction Models

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