Advanced Statistics For Health Research
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€167.40
2SLS
A01=Barbara L Wilson
A01=Matthew J Butler
A01=Richard J Butler
Applied Statistics
Area Under The Curve
AUC
Author_Barbara L Wilson
Author_Matthew J Butler
Author_Richard J Butler
Category=KCVJ
Confidence Intervals
COVID-19
Cox Regressions
Data Generating Process
Data Visualization
Decision Trees
Differences-in-Differences
Empirical Rule
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fixed Effects
Gender Wage Differentials
Geometric View of Causal Inference
GMM
Health Professionals
Healthcare
Histograms
Instrumental Variables
LASSO
Local Average Treatment Effects (LATE)
Logits
Matching
Maximum Likelihood
Measurement Error
Nursing
Omitted Variable Bias
Orthogonal Projection
Panel Data
Physician
Probits
Propensity-Score
Proportional Hazards
Public Health
Quantile Regression
R
Random Forest Regression
Randomization
Regression
Regression Discontinuity
Regression Gini Index
Research Examples
RGI
ROC
SAS
Scatterplots
Simultaneous Equations
Split Sample Instrumental Variables
Standard Beta
STATA
Supervised Machine Learning
Two-Stage Least Squares
VIF
Product details
- ISBN 9789811262302
- Publication Date: 12 May 2023
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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Advanced Statistics for Health Research provides a rigorous geometric understanding of models used in the analysis of health data, including linear and non-linear regression models, and supervised machine learning models. Models drawn from the health literature include: ordinary least squares, two-stage least squares, probits, logits, Cox regressions, duration modeling, quantile regression and random forest regression. Causal inference techniques from the health literature are presented including randomization, matching and propensity score matching, differences-in-differences, instrumental variables, regression discontinuity, and fixed effects analysis. Codes for the respective statistical techniques presented are given for STATA, SAS and R.
