Maximizing Predictive Accuracy By P. R. Yarnold R. C. Soltysik. ODA Books, Chicago, IL, 2016, $98.00, 396 pp. ISBN 0 692 70092 7.

Combining machine learning and propensity score weighting to estimate causal effects in multivalued treatments

(2016) Ariel Linden et al.   JOURNAL OF EVALUATION IN CLINICAL PRACTICE

Using machine learning to assess covariate balance in matching studies

(2016) Ariel Linden et al.   JOURNAL OF EVALUATION IN CLINICAL PRACTICE

Using machine learning to model dose-response relationships

(2016) Ariel Linden et al.   JOURNAL OF EVALUATION IN CLINICAL PRACTICE

Combining machine learning and matching techniques to improve causal inference in program evaluation

(2016) Ariel Linden et al.   JOURNAL OF EVALUATION IN CLINICAL PRACTICE

Using data mining techniques to characterize participation in observational studies

(2016) Ariel Linden et al.   JOURNAL OF EVALUATION IN CLINICAL PRACTICE

Combining propensity score-based stratification and weighting to improve causal inference in the evaluation of health care interventions

(2014) Ariel Linden   JOURNAL OF EVALUATION IN CLINICAL PRACTICE

Combining the regression discontinuity design and propensity score-based weighting to improve causal inference in program evaluation

(2012) Ariel Linden et al.   JOURNAL OF EVALUATION IN CLINICAL PRACTICE

Evaluating health management programmes over time: application of propensity score-based weighting to longitudinal data

(2010) Ariel Linden et al.   JOURNAL OF EVALUATION IN CLINICAL PRACTICE

Using propensity score-based weighting in the evaluation of health management programme effectiveness

(2010) Ariel Linden et al.   JOURNAL OF EVALUATION IN CLINICAL PRACTICE

Applying a propensity score-based weighting model to interrupted time series data: improving causal inference in programme evaluation

(2010) Ariel Linden et al.   JOURNAL OF EVALUATION IN CLINICAL PRACTICE