Propensity score analysis : statistical methods and applications

By:

Guo, Shenyang,; Fraser, Mark W

Material type: Text

TextPublication details: Los Angels Sage 2015Edition: 2nd EdDescription: xxii, 421p. 24 cm ; HardISBN:

9781452235004

Subject(s):

Social sciences--Statistical methods Analysis of variance

DDC classification:

519.53 GUO

Online resources:

Click here to access online

Contents:

Introduction -- Counterfactual framework and assumptions -- Conventional methods for data balancing -- Sample selection and related models -- Propensity score matching and related models -- Propensity score subclassification -- Propensity score weighting -- Matching estimators -- Propensity score analysis with nonparametric regression -- Propensity score analysis of categorical or continuous treatments -- Selection bias and sensitivity analysis -- Concluding remarks.

Summary: Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	H.T. Parekh Library	GSB Collection	519.53 GUO (Browse shelf(Opens below))	Available		B2104

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Previous	519.502855133 DEN R Student companion	519.502855133 NOL Data science in R : a case studies approach to computational reasoning and problem solving	519.502855133 SCH Learning statistics using R	519.53 GUO Propensity score analysis : statistical methods and applications	519.53 HO Handbook of univariate and multivariate data analysis with IBM SPSS	519.535 ACO Discovering structural equation modeling using stata	519.535 HAR Primer of multivariate statistics	Next

BW/130/2016-17/20 May 16/Rs.5888.40/-

Introduction --
Counterfactual framework and assumptions --
Conventional methods for data balancing --
Sample selection and related models --
Propensity score matching and related models --
Propensity score subclassification --
Propensity score weighting --
Matching estimators --
Propensity score analysis with nonparametric regression --
Propensity score analysis of categorical or continuous treatments --
Selection bias and sensitivity analysis --
Concluding remarks.

Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.

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