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Quantitative methods in social research --- Mathematical statistics --- Psychology --- Regression Analysis --- Research. --- Regression Analysis. --- Regression (Psychology) --- 303 --- 519.242 --- -Regression analysis --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Behavioral sciences --- Mental philosophy --- Mind --- Science, Mental --- Human biology --- Philosophy --- Soul --- Mental health --- Regression --- Regressions (Psychology) --- Regression Diagnostics --- Statistical Regression --- Analyses, Regression --- Diagnostics, Regression --- Regression Analyses --- Regression, Statistical --- Regressions, Statistical --- Statistical Regressions --- Methoden bij sociaalwetenschappelijk onderzoek --- Experimental design. Optimal designs. Block designs --- Research --- Regression analysis. --- 519.242 Experimental design. Optimal designs. Block designs --- 303 Methoden bij sociaalwetenschappelijk onderzoek --- Regression analysis --- Psychological research --- Psychological Regression --- Psychology Regression --- Psychology - Research.

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The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: • A discussion of Big Data and its implications for the design of prediction models • Machine learning issues • More simulations with missing ‘y’ values • Extended discussion on between-cohort heterogeneity • Description of ShinyApp • Updated LASSO illustration • New case studies .

Medical statistics. --- Medicine --- Evidence-based medicine --- Research --- Statistical methods. --- Statistics. --- Internal medicine. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Internal Medicine. --- Medicine, Internal --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Statistics . --- Models, Statistical. --- Regression Analysis. --- Analysis, Regression --- Regression Diagnostics --- Statistical Regression --- Analyses, Regression --- Diagnostics, Regression --- Regression Analyses --- Regression, Statistical --- Regressions, Statistical --- Statistical Regressions --- Statistics as Topic --- Model, Statistical --- Models, Binomial --- Models, Polynomial --- Statistical Model --- Probabilistic Models --- Statistical Models --- Two-Parameter Models --- Binomial Model --- Binomial Models --- Model, Binomial --- Model, Polynomial --- Model, Probabilistic --- Model, Two-Parameter --- Models, Probabilistic --- Models, Two-Parameter --- Polynomial Model --- Polynomial Models --- Probabilistic Model --- Two Parameter Models --- Two-Parameter Model --- Health Workforce --- Statistics --- Health --- Health statistics

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Mathematical statistics --- Psychometrics --- Analysis of variance --- Regression analysis --- Psychométrie --- Analyse de variance --- Analyse de régression --- Regression Analysis --- Analysis of Variance. --- Psychometrics. --- Regression Analysis. --- 519.233.4 --- #SBIB:303H523 --- #SBIB:303H522 --- Analysis, Regression --- Regression Diagnostics --- Statistical Regression --- Analyses, Regression --- Diagnostics, Regression --- Regression Analyses --- Regression, Statistical --- Regressions, Statistical --- Statistical Regressions --- Psychometric --- Statistics as Topic --- Analysis, Variance --- Variance Analysis --- ANOVA --- Analyses, Variance --- Variance Analyses --- Variance analysis. Covariance analysis --- Methoden sociale wetenschappen: associatie, correlatie --- Methoden sociale wetenschappen: handboeken statistische analyse --- Analysis of variance. --- Regression analysis. --- 519.233.4 Variance analysis. Covariance analysis --- Psychométrie --- Analyse de régression --- Analysis of Variance --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Measurement --- Scaling --- Methodology --- Analyse de covariance

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Mathematical statistics --- Regression analysis --- Correlation (Statistics) --- Analyse de régression --- Corrélation (Statistique) --- Statistics as Topic. --- Regression Analysis. --- 519.235 --- #SBIB:309H510 --- #SBIB:309H523 --- #SBIB:303H523 --- 519.233.5 --- Analysis, Regression --- Regression Diagnostics --- Statistical Regression --- Analyses, Regression --- Diagnostics, Regression --- Regression Analyses --- Regression, Statistical --- Regressions, Statistical --- Statistical Regressions --- Area Analysis --- Correlation Studies --- Correlation Study --- Correlation of Data --- Data Analysis --- Estimation Technics --- Estimation Techniques --- Indirect Estimation Technics --- Indirect Estimation Techniques --- Multiple Classification Analysis --- Service Statistics --- Statistical Study --- Statistics, Service --- Tables and Charts as Topic --- Analyses, Area --- Analyses, Data --- Analyses, Multiple Classification --- Analysis, Area --- Analysis, Data --- Analysis, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Data Analyses --- Data Correlation --- Data Correlations --- Estimation Technic --- Estimation Technic, Indirect --- Estimation Technics, Indirect --- Estimation Technique --- Estimation Technique, Indirect --- Estimation Techniques, Indirect --- Indirect Estimation Technic --- Indirect Estimation Technique --- Multiple Classification Analyses --- Statistical Studies --- Studies, Correlation --- Studies, Statistical --- Study, Correlation --- Study, Statistical --- Technic, Estimation --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Statistics of dependent variables. Contingency tables --- Verbale communicatie: algemene werken --- Audiovisuele communicatie: verhaalanalyse --- Methoden sociale wetenschappen: associatie, correlatie --- Correlation analysis. Regression analysis --- Regression analysis. --- 519.233.5 Correlation analysis. Regression analysis --- 519.235 Statistics of dependent variables. Contingency tables --- Correlation (Statistics). --- Analyse de régression --- Corrélation (Statistique) --- Regression Analysis --- Statistics as Topic --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Least squares --- Probabilities --- Statistics --- Instrumental variables (Statistics) --- Graphic methods --- Corrélation (statistique)

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Mathematical statistics --- Regression analysis --- Correlation (Statistics) --- Analyse de régression --- Corrélation (Statistique) --- Statistics as Topic. --- Regression Analysis. --- 519.235 --- 519.233.5 --- 57.087.1 --- Analysis, Regression --- Regression Diagnostics --- Statistical Regression --- Analyses, Regression --- Diagnostics, Regression --- Regression Analyses --- Regression, Statistical --- Regressions, Statistical --- Statistical Regressions --- Area Analysis --- Correlation Studies --- Correlation Study --- Correlation of Data --- Data Analysis --- Estimation Technics --- Estimation Techniques --- Indirect Estimation Technics --- Indirect Estimation Techniques --- Multiple Classification Analysis --- Service Statistics --- Statistical Study --- Statistics, Service --- Tables and Charts as Topic --- Analyses, Area --- Analyses, Data --- Analyses, Multiple Classification --- Analysis, Area --- Analysis, Data --- Analysis, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Data Analyses --- Data Correlation --- Data Correlations --- Estimation Technic --- Estimation Technic, Indirect --- Estimation Technics, Indirect --- Estimation Technique --- Estimation Technique, Indirect --- Estimation Techniques, Indirect --- Indirect Estimation Technic --- Indirect Estimation Technique --- Multiple Classification Analyses --- Statistical Studies --- Studies, Correlation --- Studies, Statistical --- Study, Correlation --- Study, Statistical --- Technic, Estimation --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Statistics of dependent variables. Contingency tables --- Correlation analysis. Regression analysis --- Biometry. Statistical study and treatment of biological data --- Analysis of variance. --- Psychometrics. --- Regression analysis. --- Correlation (Statistics). --- 57.087.1 Biometry. Statistical study and treatment of biological data --- 519.233.5 Correlation analysis. Regression analysis --- 519.235 Statistics of dependent variables. Contingency tables --- Analyse de régression --- Corrélation (Statistique) --- Numerical approximation theory --- ANALYSIS OF VARIANCE --- PSYCHOMETRICS --- Analysis of Variance. --- 519.233.4 --- Psychometric --- Analysis, Variance --- Variance Analysis --- ANOVA --- Analyses, Variance --- Variance Analyses --- Variance analysis. Covariance analysis --- 519.233.4 Variance analysis. Covariance analysis --- Analysis of variance --- Psychometrics --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design --- Statistics as Topic --- Measurement --- Scaling --- Methodology --- Regression Analysis --- Least squares --- Probabilities --- Statistics --- Instrumental variables (Statistics) --- Graphic methods --- Analysis of Variance