The analysis was based on propensity matching (1 1 matching algorithm) and following variables such as neutropenia, acute kidney injury, myeloma, dialysis and ICU which might affect the administration of AMG in addition to age, Sepsis-related Organ Failure Assessment (SOFA), secondary acute leukemia and remission status of the HMs.
Based on propensity matching, 820 of 999 THA patients given early rehabilitation treatments matched to 205 of 233 THA patients given delayed rehabilitation treatments.
We consider three outcomes (leaving the disability rolls, employment and substantial gainful employment) and present estimates of the ATET based on propensity score matching (kernel and local linear), inverse probability weighting and genetic matching.
Besides, the above-mentioned analysis is carried out based on propensity score matching techniques.
This retrospective study was based on propensity score matching in the place of care of consecutive cancer patients referred to a palliative care team in a Japanese 270-bed designated cancer hospital (Saiseikai Takaoka Hospital, Toyama, Japan).
Multivariate regression analyses were also conducted to control for patients' demographic and clinical characteristics and the estimated incremental hours associated with CVERP were consistent with the results based on propensity score matching.
A causal analysis based on Propensity Score Matching is a work in progress (see ISG/IAB 2014).
Based on propensity score, we matched women who did and did not use statins in the first trimester in a fixed 1 3 ratio, using a nearest neighbor greedy matching algorithm with a maximum matching distance of 0.05; covariate distribution and the risk ratio and 95% confidence interval for malformations were described in the matched cohort.
Application of a Cox proportional hazards model on the 199 matched pairs (based on propensity score), stratifying by the matched pairs, revealed that risk group still had no significant effect on mortality after reducing the impact of selection (hazard ratio = 1.09, 95% CI = 0.48, 2.47).
Moreover, based on propensity-score matching, a linear regression model was used to examine how the different timing of rehabilitation influenced total medical expenses, total rehabilitation expenses, and the number of OPD visits while controlling for gender, age, group, length of stay, CCS, trauma code, and comorbidity.
Two cohorts were analyzed: the trimmed population (excluding patients who fell outside the propensity score distribution overlap) and the stratified-matched population (stratified by 1 vs ≥2 anti-TNF agents, then matched based on propensity score).
