computeConfidenceBoundForLogOddsTwoProportions | R Documentation |
Estimate an upper or lower bound for a safe confidence sequence on the logarithm of the odds ratio for two proportions.
computeConfidenceBoundForLogOddsTwoProportions( ya, yb, safeDesign, bound = c("lower", "upper"), deltaStart, deltaStop, precision )
ya |
positive observations/ events per data block in group a: a numeric with integer values
between (and including) 0 and |
yb |
positive observations/ events per data block in group b: a numeric with integer values
between (and including) 0 and |
safeDesign |
a 'safeDesign' object obtained through
|
bound |
type of bound to calculate; "lower" to get a lower bound on positive delta, "upper" to get an upper bound on negative delta. |
deltaStart |
starting value of the grid to search over for the bound on the confidence sequence (in practice: the interval). Numeric >0 when searching for a lower bound, numeric < 0 when searching for an upper bound. |
deltaStop |
end value of the grid to search over for the bound on the confidence sequence (in practice: the interval). Numeric >0 when searching for a lower bound, numeric < 0 when searching for an upper bound. |
precision |
precision of the grid between deltaStart and deltaStop. |
numeric: the established lower- or upper bound on the logarithm of the odds ratio between the groups
balancedSafeDesign <- designSafeTwoProportions(na = 1, nb = 1, nBlocksPlan = 10, alpha = 0.05) #hypothesize OR < 1 (i.e., log OR < 0) ya <- c(1,1,1,1,1,1,1,1,0,1) yb <- c(0,0,0,0,1,0,0,0,0,0) #one-sided CI for OR-, establish upper bound on log odds ratio computeConfidenceBoundForLogOddsTwoProportions(ya = ya, yb = yb, safeDesign = balancedSafeDesign, bound = "upper", deltaStart = -0.01, deltaStop = -4, precision = 20)
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