Description Usage Arguments Value Author(s) References Examples

View source: R/NormalMeanDiffCens.R

Computes estimates of the parameters of two censored Normal samples, as well as the mean difference between the two samples.

1 2 | ```
NormalMeanDiffCens(censdata1, censdata2, conf.level = 0.95,
null.values = c(0, 0, 1, 1))
``` |

`censdata1` |
Observations of first sample, format as specified by |

`censdata2` |
Observations of second sample, as specified by |

`conf.level` |
Confidence level for confidence intervals. |

`null.values` |
Fixed values for hypothesis tests. Four-dimensional vector specifying the hypothesis for |

A table with estimators and inference for the means and standard deviations of both samples, as well as the difference *Δ* between the mean of the first and second sample. Hypothesis tests are for the values in `null.values`

and for the null hypothesis of no mean difference.

Stanislas Hubeaux, [email protected]

Kaspar Rufibach, [email protected]

http://www.kasparrufibach.ch

Hubeaux, S. (2013). Estimation from left- and/or interval-censored samples. Technical report, Biostatistics Oncology, F. Hoffmann-La Roche Ltd.

Lynn, H. S. (2001).
Maximum likelihood inference for left-censored HIV RNA data.
*Stat. Med.*, **20**, 33–45.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ```
## example with interval-censored Normal samples
n <- 500
prop.cens <- 0.35
mu <- c(0, 2)
sigma <- c(1, 1)
set.seed(2013)
## Sample 1:
LOD1 <- qnorm(prop.cens, mean = mu[1], sd = sigma[1])
x1 <- rnorm(n, mean = mu[1], sd = sigma[1])
s1 <- censorContVar(x1, LLOD = LOD1)
## Sample 2:
LOD2 <- qnorm(0.35, mean = mu[2], sd = sigma[2])
x2 <- rnorm(n, mean = mu[2], sd = sigma[2])
s2 <- censorContVar(x2, LLOD = LOD2)
## inference on distribution parameters and mean difference:
NormalMeanDiffCens(censdata1 = s1, censdata2 = s2)
``` |

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