In: European Journal of Epidemiology, 2015, vol. 30, no. 8, p. 627-636
|
In: Empirical Economics, 2015, vol. 48, no. 3, p. 1233-1266
|
In: Systematic Biology, 2018, vol. 67, no. 3, p. 458-474
|
In: Journal of African Economies, 2018, vol. 27, no. 2, p. 172-200
|
In: Social Cognitive and Affective Neuroscience, 2018, vol. 13, no. 5, p. 513-524
|
In: Bioinformatics, 2017, vol. 33, no. 24, p. 3938-3946
|
In: Journal of Business and Economic Statistics, 2020, vol. 38, no. 1, p. 183-200
This article investigates the finite sample properties of a range of inference methods for propensity score-based matching and weighting estimators frequently applied to evaluate the average treatment effect on the treated. We analyze both asymptotic approximations and bootstrap methods for computing variances and confidence intervals in our simulation designs, which are based on German...
|
In: BMC Public Health, 2020, vol. 20, no. 1, p. 1517
Research on inequalities in cervical cancer screening (CCS) participation has overlooked the distinction between ‘never-’ and ‘under-screeners’ while different socioeconomic and demographic determinants may underlie ‘non-’ and ‘under-’ screening participation. This study examines socioeconomic and demographic inequalities in never and under CCS participation. We compare...
|
In: European Journal of Public Health, 2020, vol. 30, no. 3, p. 552–557
Cervical cancer screening (CCS) by means of Pap smears has led to a decrease in cervical cancer incidence and mortality. In the absence of organized programmes, CCS is opportunistic in Belgium and Switzerland. This might result in a high level of CCS overuse, as screening practices do not conform to the recommended 3-yearly screening interval and the target age-ranges (Belgium: 25–64,...
|
In: Computational Statistics, 2014, vol. 29, no. 5, p. 1345-1363
|