c212NOADJ: Unadjusted test of multiple hypotheses.

In c212: Methods for Detecting Safety Signals in Clinical Trials Using Body-Systems (System Organ Classes)

Description

Unadjusted test of multiple hypotheses.

Usage

c212.NOADJ(trial.data, alpha = 0.05)

Arguments

trial.data	File or data frame containing the p-values for the hypotheses being tested. The data must include a column called p which contains the p-values of the hypotheses.
alpha	The level for FDR control. E.g. 0.05.

Value

The subset of hypotheses in file or trial.data deemed significant at level alpha.

Note

No check is made for duplicate rows in the input file or data frame.

Author(s)

R. Carragher

Examples

trial.data <- data.frame(B = c(1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4),
j = c(1, 1, 2, 3, 4, 1, 2, 3, 4, 5, 6, 7, 1, 2, 3, 4, 5),
AE = c("AE1", "AE2", "AE3", "AE4", "AE5", "AE6", "AE7", "AE8", "AE9", "AE10", "AE11",
"AE12", "AE13", "AE14", "AE15", "AE16", "AE17"),
p = c(0.135005, 0.010000, 0.001000, 0.005000, 0.153501, 0.020000, 0.0013, 0.0023,
0.011, 0.023000, 0.016, 0.0109, 0.559111, 0.751986, 0.308339, 0.837154, 0.325882))

c212.NOADJ(trial.data, alpha=0.05)

## Not run: 
   B j   AE      p
1  2 2  AE3 0.0010
2  3 2  AE7 0.0013
3  3 3  AE8 0.0023
4  2 3  AE4 0.0050
5  2 1  AE2 0.0100
6  3 7 AE12 0.0109
7  3 4  AE9 0.0110
8  3 6 AE11 0.0160
9  3 1  AE6 0.0200
10 3 5 AE10 0.0230


## End(Not run)

c212 documentation built on Sept. 8, 2020, 5:07 p.m.