Sentence examples for using the inverse probability from inspiring English sources

It is nevertheless possible to obtain consistent estimates using the inverse probability weighting estimator, as suggested by Wooldridge (2007).

Finally, we performed a sensitivity analysis using the inverse probability weighting (IPW) approach to estimate the treatment effect.

In this paper, we consider kernel smoothing estimate of the density functions, using the inverse probability approaches to address the missing values.

All analyses were performed using the inverse probability sampling weights.

All costs and outcomes were adjusted for censoring using the inverse probability weighting method.

The prevalence estimate was generated after adjusting and imputing for missing values using the inverse probability weighting.

We use the inverse probability weighted regression adjusted (IPWRA) method to estimate average treatment effects (ATE), defined as the means of the difference between each treatment and the benchmark treatment.

Due to the high percentage of missing data we used the "inverse probability weight" method.

We will then use the inverse probability weighting method to assess and adjust for selection bias in our analytic models.

We used the inverse probability weighting method to assess the impact of this bias and found that the results were essentially unchanged.

To adjust for the differences observed between respondents and non-respondents, we used the inverse probability of response weighting approach described by Robins and colleagues [ 18, 19].