From 28d333ddfa89266a2bf77ec78ed6cb00a1d88b8d Mon Sep 17 00:00:00 2001 From: Travis CI User Date: Sat, 6 Feb 2021 03:42:32 +0000 Subject: [PATCH] Built site for casebase: 0.9.1@4d58779 --- 404.html | 2 +- CONDUCT.html | 2 +- LICENSE-text.html | 2 +- articles/competingRisk.html | 9 +- articles/customizingpopTime.html | 8 +- .../figure-html/unnamed-chunk-12-1.png | Bin 197388 -> 194969 bytes .../figure-html/unnamed-chunk-15-1.png | Bin 131722 -> 132325 bytes .../figure-html/unnamed-chunk-16-1.png | Bin 127188 -> 126389 bytes .../figure-html/unnamed-chunk-17-1.png | Bin 127774 -> 128752 bytes articles/index.html | 2 +- articles/plotabsRisk.html | 4 +- .../figure-html/unnamed-chunk-2-1.png | Bin 52137 -> 51979 bytes .../figure-html/unnamed-chunk-3-1.png | Bin 58554 -> 58431 bytes .../figure-html/unnamed-chunk-4-1.png | Bin 66562 -> 66340 bytes .../figure-html/unnamed-chunk-5-1.png | Bin 42288 -> 42494 bytes .../figure-html/unnamed-chunk-6-1.png | Bin 51980 -> 51947 bytes .../figure-html/unnamed-chunk-7-1.png | Bin 132561 -> 135011 bytes .../figure-html/unnamed-chunk-8-1.png | Bin 139321 -> 139542 bytes articles/plotsmoothHazard.html | 136 +++++++++--------- .../figure-html/many-predictors-plot-1.png | Bin 51603 -> 53099 bytes .../figure-html/many-predictors-plot-2-1.png | Bin 48445 -> 49842 bytes .../figure-html/plot-mason-1.png | Bin 38066 -> 37853 bytes .../figure-html/unnamed-chunk-11-1.png | Bin 73448 -> 74902 bytes .../figure-html/unnamed-chunk-13-1.png | Bin 58762 -> 57071 bytes .../figure-html/unnamed-chunk-14-1.png | Bin 72431 -> 69461 bytes .../figure-html/unnamed-chunk-15-1.png | Bin 56804 -> 55708 bytes .../figure-html/unnamed-chunk-16-1.png | Bin 38066 -> 37853 bytes .../figure-html/unnamed-chunk-18-1.png | Bin 31837 -> 32195 bytes .../figure-html/unnamed-chunk-19-1.png | Bin 31837 -> 32195 bytes .../figure-html/unnamed-chunk-3-1.png | Bin 68864 -> 69911 bytes .../figure-html/unnamed-chunk-4-1.png | Bin 71681 -> 74266 bytes .../figure-html/unnamed-chunk-9-1.png | Bin 87124 -> 89821 bytes articles/popTime.html | 7 +- .../figure-html/unnamed-chunk-10-1.png | Bin 427729 -> 423355 bytes .../figure-html/unnamed-chunk-15-1.png | Bin 54063 -> 53561 bytes .../figure-html/unnamed-chunk-16-1.png | Bin 107845 -> 108037 bytes .../figure-html/unnamed-chunk-17-1.png | Bin 130889 -> 133838 bytes .../figure-html/unnamed-chunk-18-1.png | Bin 81615 -> 82983 bytes .../figure-html/unnamed-chunk-19-1.png | Bin 130844 -> 131007 bytes .../figure-html/unnamed-chunk-20-1.png | Bin 129845 -> 129169 bytes .../figure-html/unnamed-chunk-21-1.png | Bin 81399 -> 80957 bytes .../figure-html/unnamed-chunk-23-1.png | Bin 92394 -> 90801 bytes .../figure-html/unnamed-chunk-24-1.png | Bin 66217 -> 66341 bytes .../figure-html/unnamed-chunk-25-1.png | Bin 102163 -> 100063 bytes .../figure-html/unnamed-chunk-26-1.png | Bin 96482 -> 96061 bytes .../figure-html/unnamed-chunk-4-1.png | Bin 244888 -> 243129 bytes .../figure-html/unnamed-chunk-8-1.png | Bin 250065 -> 249145 bytes .../figure-html/unnamed-chunk-9-1.png | Bin 247711 -> 244943 bytes articles/smoothHazard.html | 9 +- authors.html | 2 +- index.html | 68 ++++----- news/index.html | 13 +- pkgdown.yml | 2 +- reference/CompRisk-class.html | 2 +- reference/ERSPC.html | 2 +- reference/absoluteRisk.html | 2 +- reference/bmtcrr.html | 6 +- reference/brcancer.html | 2 +- reference/checkArgsEventIndicator.html | 2 +- reference/eprchd.html | 2 +- reference/figures/README-plot-mason-1.png | Bin 8853 -> 29614 bytes .../figures/README-unnamed-chunk-2-1.png | Bin 59428 -> 79365 bytes .../figures/README-unnamed-chunk-3-1.png | Bin 22062 -> 33259 bytes .../figures/README-unnamed-chunk-4-1.png | Bin 25486 -> 37300 bytes reference/fitSmoothHazard.html | 2 +- reference/hazardPlot.html | 2 +- reference/index.html | 2 +- reference/plot.singleEventCB.html | 2 +- reference/popTime.html | 4 +- reference/sampleCaseBase.html | 2 +- reference/simdat.html | 2 +- reference/support.html | 4 +- 72 files changed, 152 insertions(+), 152 deletions(-) diff --git a/404.html b/404.html index cf877d1f..73acf192 100644 --- a/404.html +++ b/404.html @@ -71,7 +71,7 @@ casebase - 0.9.0.9000 + 0.9.1 diff --git a/CONDUCT.html b/CONDUCT.html index 9c5f560e..ea5f7c6e 100644 --- a/CONDUCT.html +++ b/CONDUCT.html @@ -71,7 +71,7 @@ casebase - 0.9.0.9000 + 0.9.1 diff --git a/LICENSE-text.html b/LICENSE-text.html index bf26db0f..a17e43d1 100644 --- a/LICENSE-text.html +++ b/LICENSE-text.html @@ -71,7 +71,7 @@ casebase - 0.9.0.9000 + 0.9.1 diff --git a/articles/competingRisk.html b/articles/competingRisk.html index 84f95363..23ca50a1 100644 --- a/articles/competingRisk.html +++ b/articles/competingRisk.html @@ -31,7 +31,7 @@ casebase - 0.9.0.9000 + 0.9.1 @@ -100,7 +100,7 @@

Competing risk analysis

Maxime Turgeon

-

2021-02-05

+

2021-02-06

Source: vignettes/competingRisk.Rmd @@ -112,7 +112,8 @@

2021-02-05

Data

-

We will use the same data that was used in Scrucca et al (2010). The data is available on the main author’s website; it is also available as part of this package.

+

We will use the same data that was used in Scrucca et al (2010). The data was downloaded from the main author’s website; it is also available as part of this package.

+ @@ -457,7 +458,7 @@

## [1] stats graphics grDevices utils datasets methods base ## ## other attached packages: -## [1] casebase_0.9.0.9000 +## [1] casebase_0.9.1 ## ## loaded via a namespace (and not attached): ## [1] highr_0.8 compiler_4.0.2 pillar_1.4.7 tools_4.0.2 diff --git a/articles/customizingpopTime.html b/articles/customizingpopTime.html index 2bfccdf0..40950f07 100644 --- a/articles/customizingpopTime.html +++ b/articles/customizingpopTime.html @@ -31,7 +31,7 @@ casebase - 0.9.0.9000 + 0.9.1

@@ -100,7 +100,7 @@

Customizing Population Time Plots

Sahir R. Bhatnagar

-

2021-02-05

+

2021-02-06

Source: vignettes/customizingpopTime.Rmd @@ -450,8 +450,8 @@

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Plot Cumulative Incidence and Survival Curves

Sahir Rai Bhatnagar

-

2021-02-05

+

2021-02-06

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Plot Hazards and Hazard Ratios

Sahir Rai Bhatnagar

-

2021-02-05

+

2021-02-06

Source: vignettes/plotsmoothHazard.Rmd @@ -150,25 +150,25 @@

#> #> Deviance Residuals: #> Min 1Q Median 3Q Max -#> -0.1797 -0.1600 -0.1484 -0.1253 3.8438 +#> -0.1804 -0.1600 -0.1471 -0.1246 3.8475 #> #> Coefficients: -#> Estimate Std. Error z value Pr(>|z|) -#> (Intercept) -75.0232 16.6518 -4.505 6.62e-06 *** -#> ns(log(time), df = 3)1 45.0039 10.9275 4.118 3.81e-05 *** -#> ns(log(time), df = 3)2 129.7051 32.3969 4.004 6.24e-05 *** -#> ns(log(time), df = 3)3 27.0901 6.6731 4.060 4.92e-05 *** -#> hormon -0.3610 0.1255 -2.877 0.00402 ** +#> Estimate Std. Error z value Pr(>|z|) +#> (Intercept) -104.5072 23.8591 -4.380 1.19e-05 *** +#> ns(log(time), df = 3)1 65.1227 15.8241 4.115 3.87e-05 *** +#> ns(log(time), df = 3)2 186.0277 46.2281 4.024 5.72e-05 *** +#> ns(log(time), df = 3)3 39.0269 9.5634 4.081 4.49e-05 *** +#> hormon -0.3553 0.1255 -2.830 0.00465 ** #> --- #> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 #> #> (Dispersion parameter for binomial family taken to be 1) #> #> Null deviance: 3354.9 on 30198 degrees of freedom -#> Residual deviance: 3275.7 on 30194 degrees of freedom -#> AIC: 3285.7 +#> Residual deviance: 3275.4 on 30194 degrees of freedom +#> AIC: 3285.4 #> -#> Number of Fisher Scoring iterations: 11 +#> Number of Fisher Scoring iterations: 10

Hazard functions on separate plots

@@ -211,12 +211,12 @@

 head(plot_results$fit)
 #>           time hormon offset cens    visregFit    visregLwr    visregUpr
-#> 1   0.02637724      0      0    0 2.617310e-33 3.331595e-45 2.056167e-21
-#> 2  26.43119482      0      0    0 3.054606e-07 1.893007e-08 4.928992e-06
-#> 3  52.83601239      0      0    0 7.449010e-06 1.598797e-06 3.470594e-05
-#> 4  79.24082997      0      0    0 3.334431e-05 1.255596e-05 8.855099e-05
-#> 5 105.64564755      0      0    0 8.100226e-05 4.189457e-05 1.566161e-04
-#> 6 132.05046513      0      0    0 1.452614e-04 9.126031e-05 2.312164e-04
+#> 1 3.740789e-03 0 0 0 4.102991e-46 3.709697e-63 4.537982e-29 +#> 2 2.634095e+01 0 0 0 2.732053e-07 1.665172e-08 4.482489e-06 +#> 3 5.267816e+01 0 0 0 7.136386e-06 1.526971e-06 3.335230e-05 +#> 4 7.901537e+01 0 0 0 3.269394e-05 1.230684e-05 8.685364e-05 +#> 5 1.053526e+02 0 0 0 8.027896e-05 4.152737e-05 1.551919e-04 +#> 6 1.316898e+02 0 0 0 1.447946e-04 9.097477e-05 2.304537e-04

@@ -265,26 +265,26 @@

#> #> Deviance Residuals: #> Min 1Q Median 3Q Max -#> -0.1804 -0.1601 -0.1462 -0.1271 3.7888 +#> -0.1804 -0.1597 -0.1456 -0.1265 3.7648 #> #> Coefficients: #> Estimate Std. Error z value Pr(>|z|) -#> (Intercept) -67.525 17.707 -3.814 0.000137 *** -#> hormon -24.426 39.256 -0.622 0.533793 -#> ns(log(time), df = 3)1 40.019 11.597 3.451 0.000559 *** -#> ns(log(time), df = 3)2 115.339 34.533 3.340 0.000838 *** -#> ns(log(time), df = 3)3 23.825 7.066 3.372 0.000747 *** -#> hormon:ns(log(time), df = 3)1 15.995 25.887 0.618 0.536660 -#> hormon:ns(log(time), df = 3)2 46.501 76.209 0.610 0.541743 -#> hormon:ns(log(time), df = 3)3 10.013 15.736 0.636 0.524589 +#> (Intercept) -64.23 16.54 -3.883 0.000103 *** +#> hormon -31.33 38.09 -0.823 0.410780 +#> ns(log(time), df = 3)1 37.61 10.78 3.491 0.000482 *** +#> ns(log(time), df = 3)2 109.13 32.30 3.379 0.000728 *** +#> ns(log(time), df = 3)3 22.49 6.62 3.398 0.000680 *** +#> hormon:ns(log(time), df = 3)1 20.51 25.02 0.820 0.412340 +#> hormon:ns(log(time), df = 3)2 59.93 74.00 0.810 0.417978 +#> hormon:ns(log(time), df = 3)3 12.83 15.32 0.837 0.402550 #> --- #> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 #> #> (Dispersion parameter for binomial family taken to be 1) #> #> Null deviance: 3354.9 on 30198 degrees of freedom -#> Residual deviance: 3275.4 on 30191 degrees of freedom -#> AIC: 3291.4 +#> Residual deviance: 3275.1 on 30191 degrees of freedom +#> AIC: 3291.1 #> #> Number of Fisher Scoring iterations: 11

Now we can easily plot the hazard function over time for each hormon group:

@@ -319,26 +319,26 @@

#> #> Deviance Residuals: #> Min 1Q Median 3Q Max -#> -0.1881 -0.1614 -0.1419 -0.1363 4.0245 +#> -0.1869 -0.1616 -0.1419 -0.1375 4.0169 #> #> Coefficients: #> Estimate Std. Error z value Pr(>|z|) -#> (Intercept) -68.3960 18.0798 -3.783 0.000155 *** -#> estrec -0.6303 0.3335 -1.890 0.058714 . -#> ns(log(time), df = 3)1 39.9114 11.8847 3.358 0.000784 *** -#> ns(log(time), df = 3)2 118.2661 35.2274 3.357 0.000787 *** -#> ns(log(time), df = 3)3 23.3439 7.1794 3.252 0.001148 ** -#> estrec:ns(log(time), df = 3)1 0.4316 0.2242 1.925 0.054181 . -#> estrec:ns(log(time), df = 3)2 1.1926 0.6399 1.864 0.062361 . -#> estrec:ns(log(time), df = 3)3 0.2659 0.1365 1.947 0.051489 . +#> (Intercept) -58.3014 15.4574 -3.772 0.000162 *** +#> estrec -0.5283 0.2814 -1.878 0.060447 . +#> ns(log(time), df = 3)1 33.0935 10.0950 3.278 0.001045 ** +#> ns(log(time), df = 3)2 98.7155 30.1825 3.271 0.001073 ** +#> ns(log(time), df = 3)3 19.3726 6.1534 3.148 0.001642 ** +#> estrec:ns(log(time), df = 3)1 0.3610 0.1884 1.916 0.055383 . +#> estrec:ns(log(time), df = 3)2 0.9996 0.5405 1.849 0.064386 . +#> estrec:ns(log(time), df = 3)3 0.2241 0.1156 1.939 0.052518 . #> --- #> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 #> #> (Dispersion parameter for binomial family taken to be 1) #> #> Null deviance: 3354.9 on 30198 degrees of freedom -#> Residual deviance: 3262.7 on 30191 degrees of freedom -#> AIC: 3278.7 +#> Residual deviance: 3263.1 on 30191 degrees of freedom +#> AIC: 3279.1 #> #> Number of Fisher Scoring iterations: 13

There are now many ways to plot the time-varying effect of estrogen receptor on the hazard function. The default is to plot the 10th, 50th and 90th quantiles of the by variable:

@@ -429,34 +429,34 @@

#> #> Deviance Residuals: #> Min 1Q Median 3Q Max -#> -0.6585 -0.1618 -0.1334 -0.0966 4.0722 +#> -0.7386 -0.1617 -0.1331 -0.0960 4.0292 #> #> Coefficients: #> Estimate Std. Error z value Pr(>|z|) -#> (Intercept) -8.851e+01 2.439e+01 -3.629 0.000285 *** -#> estrec -6.228e-01 4.213e-01 -1.478 0.139356 -#> ns(log(time), df = 3)1 5.380e+01 1.616e+01 3.329 0.000871 *** -#> ns(log(time), df = 3)2 1.562e+02 4.733e+01 3.301 0.000964 *** -#> ns(log(time), df = 3)3 3.212e+01 9.733e+00 3.300 0.000967 *** -#> horThyes -3.535e-01 1.303e-01 -2.714 0.006654 ** -#> age -9.561e-03 9.358e-03 -1.022 0.306926 -#> menostatPost 2.737e-01 1.848e-01 1.481 0.138622 -#> tsize 8.410e-03 3.925e-03 2.143 0.032124 * -#> tgrade.L 5.210e-01 1.911e-01 2.726 0.006410 ** -#> tgrade.Q -2.074e-01 1.225e-01 -1.693 0.090495 . -#> pnodes 5.034e-02 7.973e-03 6.314 2.71e-10 *** -#> progrec -2.195e-03 5.774e-04 -3.801 0.000144 *** -#> estrec:ns(log(time), df = 3)1 4.292e-01 2.844e-01 1.509 0.131204 -#> estrec:ns(log(time), df = 3)2 1.177e+00 8.069e-01 1.459 0.144686 -#> estrec:ns(log(time), df = 3)3 2.648e-01 1.729e-01 1.531 0.125700 +#> (Intercept) -1.187e+02 3.342e+01 -3.550 0.000385 *** +#> estrec -8.497e-01 5.567e-01 -1.526 0.126954 +#> ns(log(time), df = 3)1 7.384e+01 2.216e+01 3.333 0.000860 *** +#> ns(log(time), df = 3)2 2.142e+02 6.467e+01 3.312 0.000927 *** +#> ns(log(time), df = 3)3 4.482e+01 1.350e+01 3.320 0.000899 *** +#> horThyes -3.647e-01 1.299e-01 -2.807 0.005002 ** +#> age -1.035e-02 9.263e-03 -1.118 0.263689 +#> menostatPost 2.925e-01 1.838e-01 1.592 0.111420 +#> tsize 7.180e-03 3.929e-03 1.827 0.067629 . +#> tgrade.L 5.498e-01 1.906e-01 2.885 0.003916 ** +#> tgrade.Q -2.013e-01 1.226e-01 -1.641 0.100816 +#> pnodes 5.701e-02 8.153e-03 6.993 2.69e-12 *** +#> progrec -2.148e-03 5.724e-04 -3.752 0.000176 *** +#> estrec:ns(log(time), df = 3)1 5.807e-01 3.746e-01 1.550 0.121089 +#> estrec:ns(log(time), df = 3)2 1.609e+00 1.066e+00 1.510 0.130933 +#> estrec:ns(log(time), df = 3)3 3.610e-01 2.303e-01 1.568 0.116885 #> --- #> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 #> #> (Dispersion parameter for binomial family taken to be 1) #> #> Null deviance: 3354.9 on 30198 degrees of freedom -#> Residual deviance: 3166.3 on 30183 degrees of freedom -#> AIC: 3198.3 +#> Residual deviance: 3160.5 on 30183 degrees of freedom +#> AIC: 3192.5 #> #> Number of Fisher Scoring iterations: 13

In the following plot, we show the time-varying effect of estrec while controlling for all other variables. By default, the other terms in the model are set to their median if the term is numeric or the most common category if the term is a factor. The values of the other variables are shown in the output:

@@ -475,7 +475,7 @@

#> tsize: 25 #> tgrade: II #> pnodes: 3 -#> progrec: 49 +#> progrec: 48 #> offset: 0

You can of course set the values of the other covariates as before, i.e. by specifying the cond argument as a named list to the hazard.params argument:

@@ -495,7 +495,7 @@

#> tsize: 25 #> tgrade: III #> pnodes: 3 -#> progrec: 49 +#> progrec: 48 #> offset: 0

@@ -541,22 +541,22 @@

#> #> Deviance Residuals: #> Min 1Q Median 3Q Max -#> -0.1681 -0.1488 -0.1464 -0.1311 3.1842 +#> -0.1650 -0.1495 -0.1454 -0.1310 3.1789 #> #> Coefficients: #> Estimate Std. Error z value Pr(>|z|) -#> (Intercept) -6.09986 0.17463 -34.931 < 2e-16 *** -#> treatmentestPro 0.59920 0.22343 2.682 0.00732 ** -#> time 0.11734 0.04743 2.474 0.01336 * -#> treatmentestPro:time -0.12946 0.06309 -2.052 0.04018 * +#> (Intercept) -6.08202 0.17496 -34.762 <2e-16 *** +#> treatmentestPro 0.61384 0.22426 2.737 0.0062 ** +#> time 0.10932 0.04754 2.299 0.0215 * +#> treatmentestPro:time -0.13097 0.06343 -2.065 0.0389 * #> --- #> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 #> #> (Dispersion parameter for binomial family taken to be 1) #> #> Null deviance: 3635.4 on 32723 degrees of freedom -#> Residual deviance: 3625.8 on 32720 degrees of freedom -#> AIC: 3633.8 +#> Residual deviance: 3626.1 on 32720 degrees of freedom +#> AIC: 3634.1 #> #> Number of Fisher Scoring iterations: 7

To plot the hazard ratio, we must specify the newdata argument with a covariate pattern for the reference group. In this example, we treat the placebo as the reference group. Because we have fit an interaction with time, we also provide a sequence of times at which we would like to calculate the hazard ratio.

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Population Time Plots

Sahir R. Bhatnagar

-

2021-02-05

+

2021-02-06

Source: vignettes/popTime.Rmd @@ -588,8 +588,7 @@

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zGhc5g$f8s--#i-7Ui%g0(V>9ULaAG9REg+JEiL*i4+z~(*}*Gq)JeB&@r+qoT$&;Z zzZB5-DeWuFVLg`@X5^~v_*DVP(>_LJJs~O@&z0D6rWdY>%5o8+rG(fdD+ootK9t4H z-Jc6Bg|3wf*?TSaDN#or?=U5M6gnG*WsN?2uJhwvnYmYphz$!Tz|D3qfB2;U=glRsB zmBne^<5BNlR9P!3>WkD?c2Mh!n}b-5_?fr2LQ-pw7*AlO{+tT+pAQ}5-cHQ&SsnSSEeQUPnQ>L@N6@GD0==A*CADzx^A0+|1Gd diff --git a/articles/smoothHazard.html b/articles/smoothHazard.html index b56571cb..8890b5d0 100644 --- a/articles/smoothHazard.html +++ b/articles/smoothHazard.html @@ -31,7 +31,7 @@ casebase - 0.9.0.9000 + 0.9.1 @@ -100,7 +100,7 @@

    Introduction to casebase sampling

    Maxime Turgeon

    -

    2021-02-05

    +

    2021-02-06

    Source: vignettes/smoothHazard.Rmd @@ -505,7 +505,7 @@

    xlab = "Linear", ylab = "Splines", pch = 19) abline(a = 0, b = 1, lty = 2, lwd = 2, col = 'red')

    -

    These last three models give similar information as the first three, i.e. the main predictors for the hazard are karno and celltype, with treatment being non-significant. Moreover, by explicitely including the time variable in the formula, we see that it is not significant; this is evidence that the true hazard is exponential.

    +

    These last three models give similar information as the first three, i.e. the main predictors for the hazard are karno and celltype, with treatment being non-significant. Moreover, by explicitly including the time variable in the formula, we see that it is not significant; this is evidence that the true hazard is exponential.

    Finally, we can look at the estimates of the coefficients for the Cox model, as well as the last three models (CB stands for “case-base”):

    @@ -739,8 +739,7 @@

    ## [8] base ## ## other attached packages: -## [1] visreg_2.7.0 eha_2.8.5 survival_3.1-12 -## [4] casebase_0.9.0.9000 +## [1] visreg_2.7.0 eha_2.8.5 survival_3.1-12 casebase_0.9.1 ## ## loaded via a namespace (and not attached): ## [1] highr_0.8 pillar_1.4.7 compiler_4.0.2 tools_4.0.2 diff --git a/authors.html b/authors.html index 840bf897..6bfb0e33 100644 --- a/authors.html +++ b/authors.html @@ -71,7 +71,7 @@ casebase - 0.9.0.9000 + 0.9.1 diff --git a/index.html b/index.html index 21949b58..49d4fc37 100644 --- a/index.html +++ b/index.html @@ -39,7 +39,7 @@ casebase - 0.9.0.9000 + 0.9.1 @@ -169,32 +169,39 @@

    data = eprchd, time = "time") summary(fit) +#> Fitting smooth hazards with case-base sampling +#> +#> Sample size: 16608 +#> Number of events: 324 +#> Number of base moments: 32400 +#> ---- #> #> Call: -#> glm(formula = formula, family = binomial, data = sampleData) +#> fitSmoothHazard(formula = status ~ treatment * ns(time, df = 3), +#> data = eprchd, time = "time") #> #> Deviance Residuals: #> Min 1Q Median 3Q Max -#> -0.2536 -0.1481 -0.1380 -0.1268 3.1490 +#> -0.2579 -0.1481 -0.1377 -0.1273 3.1543 #> #> Coefficients: #> Estimate Std. Error z value Pr(>|z|) -#> (Intercept) -5.8604 0.3032 -19.326 < 2e-16 *** -#> treatmentestPro 0.6316 0.3796 1.664 0.0962 . -#> ns(time, df = 3)1 -0.4202 0.3627 -1.158 0.2467 -#> ns(time, df = 3)2 0.8155 0.7404 1.101 0.2707 -#> ns(time, df = 3)3 1.4242 0.3474 4.100 4.13e-05 *** -#> treatmentestPro:ns(time, df = 3)1 0.1292 0.4896 0.264 0.7919 -#> treatmentestPro:ns(time, df = 3)2 -1.3944 0.9456 -1.475 0.1403 -#> treatmentestPro:ns(time, df = 3)3 -1.1521 0.4883 -2.359 0.0183 * +#> (Intercept) -5.8423 0.3007 -19.431 < 2e-16 *** +#> treatmentestPro 0.6382 0.3772 1.692 0.0907 . +#> ns(time, df = 3)1 -0.4667 0.3611 -1.292 0.1963 +#> ns(time, df = 3)2 0.7903 0.7331 1.078 0.2811 +#> ns(time, df = 3)3 1.4514 0.3431 4.230 2.34e-05 *** +#> treatmentestPro:ns(time, df = 3)1 0.1975 0.4880 0.405 0.6857 +#> treatmentestPro:ns(time, df = 3)2 -1.4337 0.9385 -1.528 0.1266 +#> treatmentestPro:ns(time, df = 3)3 -1.1912 0.4844 -2.459 0.0139 * #> --- #> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 #> #> (Dispersion parameter for binomial family taken to be 1) #> #> Null deviance: 3635.4 on 32723 degrees of freedom -#> Residual deviance: 3614.1 on 32716 degrees of freedom -#> AIC: 3630.1 +#> Residual deviance: 3612.7 on 32716 degrees of freedom +#> AIC: 3628.7 #> #> Number of Fisher Scoring iterations: 7

    Since the output object from fitSmoothHazard inherits from the glm class, we see a familiar result when using the function summary.

    @@ -209,19 +216,12 @@

    #> treatment: placebo / estPro #> offset: 0

    -

    Time-Dependent Hazard Ratio

    We can also plot the time-dependent hazard ratio and 95% confidence band:

    -
    +
     newtime <- quantile(eprchd$time, 
                         probs = seq(0.01, 0.99, 0.01))
     
    @@ -244,7 +244,7 @@ 

    Cumulative Incidence Function (CIF)

    We can also calculate and plot the cumulative incidence function:

    -
    +
     smooth_risk <- absoluteRisk(object = fit, 
                                 newdata = data.frame(treatment = c("placebo", "estPro")))
     
    @@ -256,14 +256,14 @@ 

    Class structure

    The casebase package uses the following hierarchy of classes for the output of fitSmoothHazard:

    - +

    The class singleEventCB is an S3 class, and we also keep track of the classes appearing below. The class CompRisk is an S4 class that inherits from vglm.

    @@ -290,7 +290,7 @@

    Citation

    -
    +
     citation('casebase')
     #> 
     #> To cite casebase in publications use:
    @@ -332,7 +332,7 @@ 

    Latest news

    -

    You can see the most recent changes to the package in the NEWS file

    +

    You can see the most recent changes to the package in the NEWS file

    @@ -393,8 +393,8 @@

    Dev status

    • Build Status
    • Coverage Status
    • -
    • CRAN
    • -
    • Downloads
    • +
    • CRAN
    • +
    • Downloads
    • AppVeyor build status
    • Lifecycle: maturing
    diff --git a/news/index.html b/news/index.html index 9f74f6d3..0ad0156e 100644 --- a/news/index.html +++ b/news/index.html @@ -71,7 +71,7 @@ casebase - 0.9.0.9000 + 0.9.1
    @@ -141,10 +141,15 @@

    Changelog

    Source: NEWS.md
    -
    -

    -casebase (development version) Unreleased +
    +

    +casebase 0.9.1 Unreleased

    +
      +
    • Fixed issue with plot.singleEventCB() when visreg package is not loaded.
    • +
    • Improved error message when using family = "glmnet" with a single covariate.
    • +
    • Introduced summary method for objects of class singleEventCB, and improved the output of print by displaying the appropriate function call.
    • +

    diff --git a/pkgdown.yml b/pkgdown.yml index d6ab04ed..ada8c79f 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -8,7 +8,7 @@ articles: plotsmoothHazard: plotsmoothHazard.html popTime: popTime.html smoothHazard: smoothHazard.html -last_built: 2021-02-05T15:42Z +last_built: 2021-02-06T03:40Z urls: reference: http://sahirbhatnagar.com/casebase/reference article: http://sahirbhatnagar.com/casebase/articles diff --git a/reference/CompRisk-class.html b/reference/CompRisk-class.html index 6684634f..12d9d405 100644 --- a/reference/CompRisk-class.html +++ b/reference/CompRisk-class.html @@ -72,7 +72,7 @@ casebase - 0.9.0.9000 + 0.9.1

    diff --git a/reference/ERSPC.html b/reference/ERSPC.html index c9632d8f..595c0c2a 100644 --- a/reference/ERSPC.html +++ b/reference/ERSPC.html @@ -73,7 +73,7 @@ casebase - 0.9.0.9000 + 0.9.1

    diff --git a/reference/absoluteRisk.html b/reference/absoluteRisk.html index 22ad1d1e..cfbe4eca 100644 --- a/reference/absoluteRisk.html +++ b/reference/absoluteRisk.html @@ -77,7 +77,7 @@ casebase - 0.9.0.9000 + 0.9.1
    diff --git a/reference/bmtcrr.html b/reference/bmtcrr.html index 0c2cc35e..4cbd85dd 100644 --- a/reference/bmtcrr.html +++ b/reference/bmtcrr.html @@ -73,7 +73,7 @@ casebase - 0.9.0.9000 + 0.9.1
    @@ -164,10 +164,6 @@

    Format
    ftime

    Failure time in months

    -

    Source

    - -

    Available at the following website: -http://www.stat.unipg.it/luca/R/

    References

    Scrucca L, Santucci A, Aversa F. Competing risk analysis using R: diff --git a/reference/brcancer.html b/reference/brcancer.html index 0f34605b..a8fa3c8a 100644 --- a/reference/brcancer.html +++ b/reference/brcancer.html @@ -73,7 +73,7 @@ casebase - 0.9.0.9000 + 0.9.1

    diff --git a/reference/checkArgsEventIndicator.html b/reference/checkArgsEventIndicator.html index f528d8b3..3bacefad 100644 --- a/reference/checkArgsEventIndicator.html +++ b/reference/checkArgsEventIndicator.html @@ -73,7 +73,7 @@ casebase - 0.9.0.9000 + 0.9.1
    diff --git a/reference/eprchd.html b/reference/eprchd.html index ebb3b6bb..75498305 100644 --- a/reference/eprchd.html +++ b/reference/eprchd.html @@ -73,7 +73,7 @@ casebase - 0.9.0.9000 + 0.9.1
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    diff --git a/reference/hazardPlot.html b/reference/hazardPlot.html index d75aca92..270f1fee 100644 --- a/reference/hazardPlot.html +++ b/reference/hazardPlot.html @@ -77,7 +77,7 @@ casebase - 0.9.0.9000 + 0.9.1
    diff --git a/reference/index.html b/reference/index.html index dc741e89..72092d89 100644 --- a/reference/index.html +++ b/reference/index.html @@ -71,7 +71,7 @@ casebase - 0.9.0.9000 + 0.9.1 diff --git a/reference/plot.singleEventCB.html b/reference/plot.singleEventCB.html index 8dbacf85..23a62975 100644 --- a/reference/plot.singleEventCB.html +++ b/reference/plot.singleEventCB.html @@ -75,7 +75,7 @@ casebase - 0.9.0.9000 + 0.9.1 diff --git a/reference/popTime.html b/reference/popTime.html index 85601c47..bc91a0c0 100644 --- a/reference/popTime.html +++ b/reference/popTime.html @@ -74,7 +74,7 @@ casebase - 0.9.0.9000 + 0.9.1 @@ -407,7 +407,7 @@

    Details This is done to avoid having all points along the upper edge of the plot (because the subjects with the least amount of observation time are plotted at the top of the y-axis). By randomly distributing them, we can get a -better sense of the inicidence density. The base series is sampled +better sense of the incidence density. The base series is sampled horizontally on the plot using the sampleCaseBase function.

    It is assumed that data contains the two columns corresponding to the supplied time and event variables. If either the diff --git a/reference/sampleCaseBase.html b/reference/sampleCaseBase.html index 879ec143..903f9923 100644 --- a/reference/sampleCaseBase.html +++ b/reference/sampleCaseBase.html @@ -74,7 +74,7 @@ casebase - 0.9.0.9000 + 0.9.1 diff --git a/reference/simdat.html b/reference/simdat.html index 6f982be6..1bd50cbc 100644 --- a/reference/simdat.html +++ b/reference/simdat.html @@ -73,7 +73,7 @@ casebase - 0.9.0.9000 + 0.9.1 diff --git a/reference/support.html b/reference/support.html index 1eb5e548..dcdafa22 100644 --- a/reference/support.html +++ b/reference/support.html @@ -77,7 +77,7 @@ casebase - 0.9.0.9000 + 0.9.1 @@ -190,7 +190,7 @@

    FormatSource

    Available at the following website: -http://biostat.mc.vanderbilt.edu/wiki/pub/Main/DataSets/support2csv.zip. +https://biostat.app.vumc.org/wiki/Main/SupportDesc. note: must unzip and process this data before use.

    Details

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