Advanced Statistics for Health Research
Richard J Butler,
Matthew J Butler and
Barbara L Wilson
Additional contact information
Richard J Butler: Brigham Young University, USA & Southwestern University of Finance and Economics, China
Matthew J Butler: Brigham Young University, USA
Barbara L Wilson: University of Utah College of Nursing, USA
in World Scientific Books from World Scientific Publishing Co. Pte. Ltd.
Abstract:
Advanced Statistics for Health Research
Keywords: Nursing; Physician; Healthcare; Public Health; Regression; Orthogonal Projection; Geometric View of Causal Inference; 2SLS; Two-Stage Least Squares; Instrumental Variables; Probits; Logits; Proportional Hazards; Cox Regressions; Quantile Regression; Random Forest Regression; Randomization; Matching; Propensity-Score; Differences-in-Differences; Regression Discontinuity; Fixed Effects; R; SAS; STATA; Research Examples; Empirical Rule; Applied Statistics; Confidence Intervals; VIF; Standard Beta; Histograms; Scatterplots; Regression Gini Index; COVID-19; Gender Wage Differentials; LASSO; Area Under The Curve; AUC; ROC; Decision Trees; Maximum Likelihood; GMM; Data Generating Process; Split Sample Instrumental Variables; Local Average Treatment Effects (LATE); Data Visualization; Omitted Variable Bias; Simultaneous Equations; Measurement Error; Supervised Machine Learning; Panel Data; RGI; Health Professionals (search for similar items in EconPapers)
JEL-codes: C1 I11 I15 (search for similar items in EconPapers)
Date: 2023
ISBN: 9789811262302
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https://www.worldscientific.com/worldscibooks/10.1142/13023 (text/html)
Ebook Access is available upon purchase
Chapters in this book:
- Ch 1 The First Day , pp 1-18

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 2 The Spreadsheet View of Data , pp 19-43

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 3 Multiple Regression — Beta Coefficients, Correlations, and Standard Deviations , pp 45-63

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 4 The Data-Generating Process and Scientific Inference , pp 65-82

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 5 Causal Inference Using Multiple Regressions , pp 83-109

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 6 Randomization and Friends , pp 111-130

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 7 Matching and Propensity Score Matching — “As if Randomized” , pp 131-146

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 8 Instrumental Variables , pp 147-160

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 9 Regression Discontinuity — A Sort of Instrumental Variable Technique , pp 161-174

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 10 Statistical Merging — Difference-in-Difference and Split-Sample Instrumental Variables , pp 175-190

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 11 Panel Dataset Analysis with Randomization , pp 191-201

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 12 Panel Dataset Analysis with Fixed Effects and Lags , pp 203-214

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 13 Panel Dataset Analysis with Generalized Methods of Moments (GMM), Possible Endogeneity with the Predictor Variables , pp 215-227

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 14 Logits, Probits, and Multinomial Logits , pp 229-244

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 15 Discrete Outcomes Continued: The Area Under the Curve Metrics, Count Models , pp 245-259

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 16 Cox Regression Models a.k.a. Proportional Hazards Modeling , pp 261-271

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 17 Structural Duration Models , pp 273-289

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 18 Quantile Regression , pp 291-309

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 19 Linear Model with Restrictions/Variable Selections–Supervised Machine Learning Including Random Forest Regression , pp 311-331

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
- Ch 20 Random Forest Regression Residuals and the Regression Gini Index , pp 333-369

- Richard J. Butler, Matthew J. Butler and Barbara L. Wilson
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