The phrase "achieved matches" is correct and usable in written English.
It can be used in contexts where you are discussing successful outcomes or results that align with certain criteria or goals, often in competitive or performance-related scenarios.
Example: "The team achieved matches that exceeded our expectations, demonstrating their hard work and dedication."
Alternatives: "successful matches" or "accomplished matches".
Consequently, the number of achieved matches varies with the precision of the match strategy due to changing numbers of both false and missed matches.
Using statistical theory, this paper focuses on estimating the extent of false links, and therefore also of true links, among achieved matches due to the non-uniqueness of demographic data.
The authors develop a statistical model for examining the likely prevalence of false matches, and consequently the number of true matches, among achieved matches when using anonymous event-based record linkage to identify transition events.
Allowing variation in the match data when identifying links changes both the expected numbers of events that could be considered for matching (that is, λHl and λRl) and the number of achieved matches (αtl).
Whether or not such chance matches make up a sizeable proportion of all matches, and therefore affect the utility of the linked data, can be seen by comparing the number of chance (and therefore false) matches with the total number of achieved matches; that is, by estimating a false match rate per hospital separation date (termed the 'false match rate').
These rates place this scenario just above the lowest line (entry event rate of 0.1 per 1,000) on Figure 2. The graphs show clearly that by using some basic information about the transitions, it is possible to measure the likely extent of false matches among achieved matches, and thereby to gauge whether event-based linkage could provide a useful tool for examining movement.
A very good performance is achieved, matching the analytic formula for the spatial resolution of a MPGD-readout TPC.
I'm proud of each and every one of the players for what they've achieved". Match ends, Chester FC 2, Salisbury City 2. Second Half ends, Chester FC 2, Salisbury City 2. Offside, Chester FC.
Comparing the achieved match rates with those based on simple matching on SLK-581 indicates that using extra information in the match keys (i.e. non SLK-581 data) allowed for variation in reported SLK-581 when matching.
From the above, it can be seen that the false match rate depends both on the numbers of events involved in the match comparisons and on the achieved match rate.
If linkage data are highly accurate, the achieved match rate is affected primarily by the number of false matches, with the number of identified true matches remaining largely unaffected by changes in the linkage strategy.
