Exact(2)
In the case of cancers of interest with more than 30% of missing cases compared with the hospital statistics, the extrapolation was supplemented by collection of aggregate anonymized data on the distribution of G-DRG positions for treatment of these cancers of interest in one hospital to identify potential important missing G-DRGs.
The extrapolation of costs from the number of cases in the G-DRG Browser to the number of cases from the hospital statistics was done directly for cancers of interest with less than 30% of missing cases compared with the hospital statistics.
Similar(58)
While gestational age (34.8 ± 8 vs. 25 ± 6.6 weeks, P < 0.001) in near-miss cases was significantly higher than that in maternal death cases, there was no significant difference in age, parity, educational levels, residence and antenatal care coverage in the near-miss cases compared with maternal deaths, table 4.
The records are complemented with clinical information by the regional Comprehensive Cancer Centres and checked for missing cases by comparing them with the national registry of outpatient and in-patient diagnoses (LMR).
There were 530 female adult respondents from the Open Schools Group and 57 from the Special School Group (6% missing in both cases) compared to 495 and 35 male respondents respectively (11 and 57% missing respectively).
This implied that all molecular methods in the base case, and high-throughput MRD scenarios A and C detect and miss the same cases compared to phenotypic DST.
There were 2.3%% missing cases.
Table 3 shows summary of missing cases.
*Excluding missing cases.
(Missing cases excluded listwise).
*3 missing cases.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com