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While Lua allows the true and false boolean values, wikicode templates can only express boolean values through strings such as "yes", "no", etc. This module processes these kinds of strings and turns them into boolean input for Lua to process. It also returns nil values as nil, to allow for distinctions between nil and false. The module also ...
In science, a null result is a result without the expected content: that is, the proposed result is absent. [1] It is an experimental outcome which does not show an otherwise expected effect.
Takes an array t with one or more nil values, and removes the nil values while preserving the order, so that the array can be safely traversed with ipairs. Any keys that are not positive integers are removed. For example, for the table {1, nil, foo = 'bar', 3, 2}, compressSparseArray will return {1, 3, 2}.
Help:Lua for beginners; Help:Lua debugging – about debugging Lua modules; Wikipedia:Lua style guide – standards to improve the readability of code through consistency; Module:Sandbox provides a pseudo-namespace for experimenting with Lua modules
In evidence-based medicine, likelihood ratios are used for assessing the value of performing a diagnostic test. They use the sensitivity and specificity of the test to determine whether a test result usefully changes the probability that a condition (such as a disease state) exists.
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.
The PICO process (or framework) is a mnemonic used in evidence-based practice (and specifically evidence-based medicine) to frame and answer a clinical or health care related question, [1] though it is also argued that PICO "can be used universally for every scientific endeavour in any discipline with all study designs". [2]
Only false and nil are false. Even "" is true. Tables can have both numeric and string entries. The two don't overlap. t [1] is distinct from t ["1"]. Uninitialized variables and nonexistent fields in tables are nil. or and and both have shortcut evaluation. = is assignment, == is equality comparison. not is boolean negation, but ~= is ...