Reflection on modern methods: when worlds collide—prediction, machine learning and causal inference
出版年份 2019 全文链接
标题
Reflection on modern methods: when worlds collide—prediction, machine learning and causal inference
作者
关键词
-
出版物
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2019-06-11
DOI
10.1093/ije/dyz132
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Big Data in Public Health: Terminology, Machine Learning, and Privacy
- (2018) Stephen J. Mooney et al. Annual Review of Public Health
- Socioeconomic and Tobacco Mediation of Ethnic Inequalities in Mortality over Time
- (2018) Tony Blakely et al. EPIDEMIOLOGY
- Using Super Learner Prediction Modeling to Improve High-dimensional Propensity Score Estimation
- (2018) Richard Wyss et al. EPIDEMIOLOGY
- You are smarter than you think: (super) machine learning in context
- (2018) Alexander P. Keil et al. EUROPEAN JOURNAL OF EPIDEMIOLOGY
- Stacked generalization: an introduction to super learning
- (2018) Ashley I. Naimi et al. EUROPEAN JOURNAL OF EPIDEMIOLOGY
- The impact of social housing on mental health: longitudinal analyses using marginal structural models and machine learning-generated weights
- (2018) Rebecca Bentley et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
- (2018) Stefan Wager et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Cardiovascular disease risk prediction equations in 400 000 primary care patients in New Zealand: a derivation and validation study
- (2018) Romana Pylypchuk et al. LANCET
- Targeted maximum likelihood estimation for a binary treatment: A tutorial
- (2018) Miguel Angel Luque-Fernandez et al. STATISTICS IN MEDICINE
- The Right Tool for the Job
- (2017) Claude M. Setodji et al. EPIDEMIOLOGY
- Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies
- (2016) Megan S. Schuler et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Recursive partitioning for heterogeneous causal effects: Table 1.
- (2016) Susan Athey et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The Balance Super Learner: A robust adaptation of the Super Learner to improve estimation of the average treatment effect in the treated based on propensity score matching
- (2016) Romain Pirracchio et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Imputation approaches for potential outcomes in causal inference
- (2015) Daniel Westreich et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Improving Propensity Score Estimators' Robustness to Model Misspecification Using Super Learner
- (2014) Romain Pirracchio et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- The Parametric g-Formula for Time-to-event Data
- (2014) Alexander P. Keil et al. EPIDEMIOLOGY
- Good practices for quantitative bias analysis
- (2014) T. L. Lash et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets
- (2014) Susan Gruber et al. STATISTICS IN MEDICINE
- Mortality Risk Score Prediction in an Elderly Population Using Machine Learning
- (2013) Sherri Rose AMERICAN JOURNAL OF EPIDEMIOLOGY
- Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study
- (2012) Benjamin F Voight et al. LANCET
- Using Ensemble-Based Methods for Directly Estimating Causal Effects: An Investigation of Tree-Based G-Computation
- (2012) Peter C. Austin MULTIVARIATE BEHAVIORAL RESEARCH
- Implementation of G-Computation on a Simulated Data Set: Demonstration of a Causal Inference Technique
- (2011) Jonathan M. Snowden et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Doubly Robust Estimation of Causal Effects
- (2011) Michele Jonsson Funk et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression
- (2010) Daniel Westreich et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Evaluating uses of data mining techniques in propensity score estimation: a simulation study
- (2008) Soko Setoguchi et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
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