lifetab: Create cohort life table In KMsurv: Data sets from Klein and Moeschberger (1997), Survival Analysis

Description

Create cohort life table.

Usage

 `1` ```lifetab(tis, ninit, nlost, nevent) ```

Arguments

 `tis` a vector of end points of time intervals, whose length is 1 greater than nlost and nevent. `ninit` the number of subjects initially entering the study. `nlost` a vector of the number of individuals lost follow or withdrawn alive for whatever reason. `nevent` a vector of the number of individuals who experienced the event

Value

A data.frame with the following columns:

 `nsubs` the number of subject entering the intervals who have not experienced the event. `nlost` the number of individuals lost follow or withdrawn alive for whatever reason. `nrisk` the estimated number of individuals at risk of experiencing the event. `nevent` the number of individuals who experienced the event. `surv` the estimated survival function at the start of the intervals. `pdf` the estimated probability density function at the midpoint of the intervals. `hazard` the estimated hazard rate at the midpoint of the intervals. `se.surv` the estimated standard deviation of survival at the beginning of the intervals. `se.pdf` the estimated standard deviation of the prbability density function at the midpoint of the intervals. `se.hazard` the estimated standard deviation of the hazard function at the midpoint of the intervals

The row.names are the intervals.

Author(s)

Jun Yan jyan@stat.uconn.edu

Examples

 ```1 2 3 4 5 6``` ```tis <- c(0, 2, 3, 5, 7, 11, 17, 25, 37, 53, NA) nsubs <- c(927, 848, 774, 649, 565, 449, 296, 186, 112, 27) nlost <- c(2, 3, 6, 9, 7, 5, 3, rep(0, 3)) nevent <- c(77, 71, 119, 75, 109, 148, 107, 74, 85, 27) lifetab(tis, nsubs[1], nlost, nevent) ```

Example output

```      nsubs nlost nrisk nevent       surv         pdf     hazard     se.surv
0-2     927     2 926.0     77 1.00000000 0.041576674 0.04338028 0.000000000
2-3     848     3 846.5     71 0.91684665 0.076900310 0.08754624 0.009073665
3-5     774     6 771.0    119 0.83994634 0.064820762 0.08362614 0.012058378
5-7     649     9 644.5     75 0.71030482 0.041328830 0.06177924 0.014947215
7-11    565     7 561.5    109 0.62764716 0.030460169 0.05374753 0.015966927
11-17   449     5 446.5    148 0.50580648 0.027943023 0.06621924 0.016592925
17-25   296     3 294.5    107 0.33814834 0.015357331 0.05549793 0.015812197
25-37   186     0 186.0     74 0.21528969 0.007137741 0.04138702 0.013826142
37-53   112     0 112.0     85 0.12963680 0.006149067 0.07643885 0.011358269
53-NA    27     0  27.0     27 0.03125173          NA         NA 0.005911869
se.pdf   se.hazard
0-2   0.0045368324 0.004938988
2-3   0.0087683603 0.010379868
3-5   0.0055430063 0.007639143
5-7   0.0045695123 0.007120026
7-11  0.0027313326 0.005118250
11-17 0.0020898086 0.005334699
17-25 0.0013852970 0.005231318
25-37 0.0007903745 0.004660447
37-53 0.0006304732 0.006560105
53-NA           NA          NA
```

KMsurv documentation built on May 2, 2019, 7:25 a.m.