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_ This volume introduces single-equation regression models that bring a variety of similar techniques under one umbrella& the generalized linear_model. Topics covered include simple and multiple linear regression, probit and logistic regression, truncated, censored, and sample-selected regression, regression models for an event count, and regression with survival data. Rigor is carefully and purposefully coupled with accessibility throughout to make the material easier to understand. Over 300 exercises, along with 10 downloadable data sets and an instructor's solutions manual, also enhance its value as a pedagogical resource.

Quantitative methods in social research --- Mathematical statistics --- #SBIB:303H522 --- 519.2 --- Regression analysis --- Social sciences --- -Statistics --- -Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Methoden sociale wetenschappen: handboeken statistische analyse --- Probability. Mathematical statistics --- Statistics --- -Methodology --- Methodology --- Regression analysis. --- Methodology. --- -Methoden sociale wetenschappen: handboeken statistische analyse --- -519.2 Probability. Mathematical statistics --- Statistical analysis --- 519.2 Probability. Mathematical statistics --- Statistics&delete&

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MODELE LOGIT --- ECONOMETRIE

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Converting Data into Evidence: A Statistics Primer for the Medical Practitioner provides a thorough introduction to the key statistical techniques that medical practitioners encounter throughout their professional careers. These techniques play an important part in evidence-based medicine or EBM. Adherence to EBM requires medical practitioners to keep abreast of the results of medical research as reported in their general and specialty journals. At the heart of this research is the science of statistics. It is through statistical techniques that researchers are able to discern the patterns in the data that tell a clinical story worth reporting. The authors begin by discussing samples and populations, issues involved in causality and causal inference, and ways of describing data. They then proceed through the major inferential techniques of hypothesis testing and estimation, providing examples of univariate and bivariate tests. The coverage then moves to statistical modeling, including linear and logistic regression and survival analysis. In a final chapter, a user-friendly introduction to some newer, cutting-edge, regression techniques will be included, such as fixed-effects regression and growth-curve modeling. A unique feature of the work is the extensive presentation of statistical applications from recent medical literature. Over 30 different articles are explicated herein, taken from such journals. With the aid of this primer, the medical researcher will also find it easier to communicate with the statisticians on his or her research team. The book includes a glossary of statistical terms for easy access. This is an important reference work for the shelves of physicians, nurses, nurse practitioners, physician’s assistants, medical students, and residents. .

Evidence-based medicine --- Medical statistics --- Clinical Medicine --- Health Care Evaluation Mechanisms --- Epidemiologic Methods --- Mathematics --- Evidence-Based Practice --- Quality of Health Care --- Health Occupations --- Medicine --- Investigative Techniques --- Public Health --- Natural Science Disciplines --- Disciplines and Occupations --- Health Care Quality, Access, and Evaluation --- Environment and Public Health --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Health Care --- Evidence-Based Medicine --- Statistics as Topic --- Physical Sciences & Mathematics --- Health & Biological Sciences --- Mathematical Statistics --- Medical Ethics & Philosophy --- Medical statistics. --- Health surveys --- Statistical methods. --- Health --- Health statistics --- Statistical methods --- Statistics. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistics, general. --- Statistics --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Statistics .