Sample size estimation for propensity score matching
Matching on the Estimated Propensity Score
... Propensity score matching estimators (Rosenbaum and Rubin, 1983) are widely used to estimate treatment effects when all treatment confounders are ...the propensity score as the ...
22
On the inefficiency of propensity score matching
... of matching estimators usually depend only on the continuous variables, and it is often suggested to conduct separate regressions for each cell defined by the discrete ...limited sample size this ...
12
Latent Variables and Propensity Score Matching
... between matching on the set of manifest variables and matching on the estimated latent ...of matching on the estimated latent variable are greater for smaller sample sizes, with a high number ...
29
Propensity Score Analysis with Matching Weights
... the propensity-score analysis in comparison with direct regression on the outcome [9, ...the propensity score matching paradigm, the general recommendation is to calculate the ...
18
The finite sample performance of inference methods for propensity score matching and weighting estimators
... pair matching, and the lower one for radius ...radius matching, the rejection probabilities are averaged over the four estimators investigated ...the size of the tests, while those under ...
48
The finite sample performance of inference methods for propensity score matching and weighting estimators
... variance estimation derived in the example of Abadie and Imbens (2008) does, however, not one-to-one carry over to our simulations, which are based on dierent ...nominal size, while in other cases, ...
43
New Evidence on the Finite Sample Properties of Propensity Score Matching and Reweighting Estimators
... biased matching estimators may be preferred to ...small sample evidence presented in this paper suggests that reweighting is better than both pair and ridge matching in that ...Ridge matching ...
30
Propensity score interval matching: using bootstrap confidence intervals for accommodating estimation errors of propensity scores
... Although propensity score methods have become in- creasingly popular in medical research over the past three decades as an effective tool for reducing selection bias in making causal inference based on ...
9
Head to head comparison of the propensity score and the high-dimensional propensity score matching methods
... hdPS were estimated for all patients included in the Full Cohort [7]. Detailed description of the hdPS method can be found elsewhere [7]. Briefly, the construction of the hdPS model involves two processes, 1) ...
10
“Clinical Stability” and Propensity Score Matching in Cardiac Surgery: is the clinical evaluation of treatment efficacy algorithmdependent in small sample size settings?
... In Table 5, the distribution of individual characteristics in the matched samples are reported. Balance was evaluated both numerically, using SMeanD and VR, and graphically, as reported in Figure 1. All the matched sets ...
11
Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour
... the propensity score weights considered in the simulations do not play any ...any sample size and outcome, increasing the quantile while holding the multiplier fixed or doing it vice versa ...
31
Balance diagnostics after propensity score matching
... The sample size of the study population after PSM is reduced, and thus the power to detect statistical significance is also ...reduced sample size rather than improved ...
8
Some Practical Guidance for the Implementation of Propensity Score Matching
... Propensity Score Matching (PSM) has become a popular approach to estimate causal treatment ...the estimation of the propensity ...which matching algorithm to choose and determine ...
32
A wild bootstrap algorithm for propensity score matching estimators
... Finally, we provide an empirical illustration using survey data from rural (FYR) Macedo- nia that were previously analyzed in Huber, Kotevska, Martinovska-Stojcheska, and Solovyeva (2016) to evaluate the effects of an ...
17
A Propensity Score Matching Study of Community College Athletics.
... Defining Positivism can be a bit tricky as there is not a “one size fits all” explanation and Positivism continues to be employed in different ways across different fields of research (Hassan, 2016). Since a ...
108
Propensity score matching methods for the analysis of recurrent events
... that matching on the history of the subjects or just adding the history to the matching model significantly reduces the bias in the ...the estimation of treatment effect ...
104
A New Heuristic for Propensity Score Matching in Observational Studies
... Instruction products in improving school-level state test scores in grade 4 ELA. While the iterative method makes sense intuitively, comparisons with the nearest neighbor with caliper approach show mixed results. Nearest ...
16
Evaluation of the propensity score methods for estimating marginal odds ratios in case of small sample size.
... the sample size decreased from 1,000 to 40 subjects, but that small sample sizes lead to biased estimations of the marginal treatment ...small sample down to 40 patients. Of note, in case of ...
11
Evaluation of the Propensity score methods for estimating marginal odds ratios in case of small sample size
... the sample size decreased from 1,000 to 40 subjects, but that small sample sizes lead to biased estimations of the marginal treatment ...small sample down to 40 patients. Of note, in case of ...
10
The Effects of Breastfeeding on Childhood BMI: A Propensity Score Matching Approach
... the propensity to breastfeed recorded during pregnancy or as close to the time of birth as possible are included in order to predict the propensity to ...the estimation of the PS because including ...
9