From bc6c29e4e7576283c52ab443d04f56f47c3e6379 Mon Sep 17 00:00:00 2001 From: Travis CI User Date: Sun, 7 Feb 2021 17:46:39 +0000 Subject: [PATCH] Built site for casebase: 0.9.1@1b86b23 --- articles/competingRisk.html | 2 +- articles/customizingpopTime.html | 2 +- .../figure-html/unnamed-chunk-12-1.png | Bin 194969 -> 198112 bytes .../figure-html/unnamed-chunk-15-1.png | Bin 132325 -> 130484 bytes .../figure-html/unnamed-chunk-16-1.png | Bin 126389 -> 126593 bytes .../figure-html/unnamed-chunk-17-1.png | Bin 128752 -> 127139 bytes articles/plotabsRisk.html | 2 +- .../figure-html/unnamed-chunk-2-1.png | Bin 51979 -> 52014 bytes .../figure-html/unnamed-chunk-3-1.png | Bin 58431 -> 58515 bytes .../figure-html/unnamed-chunk-4-1.png | Bin 66340 -> 66267 bytes .../figure-html/unnamed-chunk-5-1.png | Bin 42494 -> 42439 bytes .../figure-html/unnamed-chunk-6-1.png | Bin 51947 -> 52119 bytes .../figure-html/unnamed-chunk-7-1.png | Bin 135011 -> 133129 bytes .../figure-html/unnamed-chunk-8-1.png | Bin 139542 -> 136586 bytes articles/plotsmoothHazard.html | 128 +++++++++--------- .../figure-html/many-predictors-plot-1.png | Bin 53099 -> 51180 bytes .../figure-html/many-predictors-plot-2-1.png | Bin 49842 -> 47811 bytes .../figure-html/plot-mason-1.png | Bin 37853 -> 38651 bytes .../figure-html/unnamed-chunk-11-1.png | Bin 74902 -> 76546 bytes .../figure-html/unnamed-chunk-13-1.png | Bin 57071 -> 57474 bytes .../figure-html/unnamed-chunk-14-1.png | Bin 69461 -> 70038 bytes .../figure-html/unnamed-chunk-15-1.png | Bin 55708 -> 54125 bytes .../figure-html/unnamed-chunk-16-1.png | Bin 37853 -> 38651 bytes .../figure-html/unnamed-chunk-18-1.png | Bin 32195 -> 32088 bytes .../figure-html/unnamed-chunk-19-1.png | Bin 32195 -> 32088 bytes .../figure-html/unnamed-chunk-3-1.png | Bin 69911 -> 68014 bytes .../figure-html/unnamed-chunk-4-1.png | Bin 74266 -> 70947 bytes .../figure-html/unnamed-chunk-9-1.png | Bin 89821 -> 87375 bytes articles/popTime.html | 2 +- .../figure-html/unnamed-chunk-10-1.png | Bin 423355 -> 418416 bytes .../figure-html/unnamed-chunk-15-1.png | Bin 53561 -> 54018 bytes .../figure-html/unnamed-chunk-16-1.png | Bin 108037 -> 108389 bytes .../figure-html/unnamed-chunk-17-1.png | Bin 133838 -> 131706 bytes .../figure-html/unnamed-chunk-18-1.png | Bin 82983 -> 84445 bytes .../figure-html/unnamed-chunk-19-1.png | Bin 131007 -> 129219 bytes .../figure-html/unnamed-chunk-20-1.png | Bin 129169 -> 128098 bytes .../figure-html/unnamed-chunk-21-1.png | Bin 80957 -> 82324 bytes .../figure-html/unnamed-chunk-23-1.png | Bin 90801 -> 91566 bytes .../figure-html/unnamed-chunk-24-1.png | Bin 66341 -> 66475 bytes .../figure-html/unnamed-chunk-25-1.png | Bin 100063 -> 99030 bytes .../figure-html/unnamed-chunk-26-1.png | Bin 96061 -> 96829 bytes .../figure-html/unnamed-chunk-4-1.png | Bin 243129 -> 242209 bytes .../figure-html/unnamed-chunk-8-1.png | Bin 249145 -> 246631 bytes .../figure-html/unnamed-chunk-9-1.png | Bin 244943 -> 243205 bytes articles/smoothHazard.html | 2 +- index.html | 28 ++-- news/index.html | 2 +- pkgdown.yml | 2 +- reference/figures/README-plot-mason-1.png | Bin 29614 -> 29123 bytes .../figures/README-unnamed-chunk-2-1.png | Bin 79365 -> 79515 bytes .../figures/README-unnamed-chunk-3-1.png | Bin 33259 -> 34124 bytes .../figures/README-unnamed-chunk-4-1.png | Bin 37300 -> 38220 bytes 52 files changed, 85 insertions(+), 85 deletions(-) diff --git a/articles/competingRisk.html b/articles/competingRisk.html index 23ca50a1..6b11c5a8 100644 --- a/articles/competingRisk.html +++ b/articles/competingRisk.html @@ -100,7 +100,7 @@

Competing risk analysis

Maxime Turgeon

-

2021-02-06

+

2021-02-07

Source: vignettes/competingRisk.Rmd diff --git a/articles/customizingpopTime.html b/articles/customizingpopTime.html index 40950f07..9bb2dc33 100644 --- a/articles/customizingpopTime.html +++ b/articles/customizingpopTime.html @@ -100,7 +100,7 @@

Customizing Population Time Plots

Sahir R. Bhatnagar

-

2021-02-06

+

2021-02-07

Source: vignettes/customizingpopTime.Rmd diff --git a/articles/customizingpopTime_files/figure-html/unnamed-chunk-12-1.png b/articles/customizingpopTime_files/figure-html/unnamed-chunk-12-1.png index e12473fe38c5ed1c8b3f29dad60c1c73b8f8d20d..ccccbd4e5c4b140b030edb9ee24a4bfc4c7d2492 100644 GIT binary patch literal 198112 zcmd43byU<{^gcQUiim;=(%oH3hte$!C0zrE3?SX1f`mv6IZ`hzEgeHk4fz5B(nv~o z*FA&p_pWvCTKA8;?(etOWvR@Pna??ApB>Nh?5!bcs&Wr-NO2$#$O8p=X($AOJd;kP-NH$4p618hi&|CsHUs@a^6^d0i(6gdzy@`$oj#js*ll4N;JOsp+1y zKBW)_8`C|ynh`o`Cl~5}uH)vSb+BMp^`-FWDjsr6^85GK-14tY$V%R0k?FVanr#qb zm+anr|9z2AlJ_w?`yH1MGU=N_xBZqI}_Xe z#^2W_@{hJ}{(adLNjr=6_oY9LOw<27Ln_pt=)cc>BDlfz-%DJU|2Gc~9pZ$1%!lS? z8n#HGVZ5Q~@`#@+&IFS3HMHb%>I5v&=xuW8w{wEp?2AuJ(BoKe|56^J_zn=Sln?e77_h5%{EJ)LfHx&e0BNks>kklvMM!uf1X`%>M z5FD7VGqB}%1%dbke#h_U5=SlGK1bT=(A<_8E0C;VZ+r)>U*=L&k8#cY`|cwe@NPJG zcjHm`+}ajfo?Tab*KS6}#mA|X_0zA)`3x??s}1KoB;A^1*Pq~i4P2UBzp^&>c+hRH zZ-a2?K3scr9|;8ZGXOf{XD@JNv<~_k#XF@*$d}bZGGK#1#AnuIDvKaY(v)F{Q8bh=69L; 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    Plot Cumulative Incidence and Survival Curves

    Sahir Rai Bhatnagar

    -

    2021-02-06

    +

    2021-02-07

    Source:
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b/articles/plotsmoothHazard.html @@ -100,7 +100,7 @@

    Plot Hazards and Hazard Ratios

    Sahir Rai Bhatnagar

    -

    2021-02-06

    +

    2021-02-07

    Source:
    vignettes/plotsmoothHazard.Rmd @@ -150,23 +150,23 @@

    #> #> Deviance Residuals: #> Min 1Q Median 3Q Max -#> -0.1804 -0.1600 -0.1471 -0.1246 3.8475 +#> -0.1801 -0.1601 -0.1476 -0.1245 3.8257 #> #> Coefficients: -#> 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 ** +#> Estimate Std. Error z value Pr(>|z|) +#> (Intercept) -64.7753 14.0107 -4.623 3.78e-06 *** +#> ns(log(time), df = 3)1 38.0764 9.1596 4.157 3.22e-05 *** +#> ns(log(time), df = 3)2 110.1617 27.3181 4.033 5.52e-05 *** +#> ns(log(time), df = 3)3 22.8441 5.5983 4.081 4.49e-05 *** +#> hormon -0.3829 0.1256 -3.048 0.0023 ** #> --- #> 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 30194 degrees of freedom -#> AIC: 3285.4 +#> Residual deviance: 3276.1 on 30194 degrees of freedom +#> AIC: 3286.1 #> #> Number of Fisher Scoring iterations: 10
    @@ -211,12 +211,12 @@

     head(plot_results$fit)
     #>           time hormon offset cens    visregFit    visregLwr    visregUpr
    -#> 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
    +#> 1 0.05326367 0 0 0 7.386267e-29 7.242465e-39 7.532924e-19 +#> 2 26.63920357 0 0 0 3.792034e-07 2.556597e-08 5.624478e-06 +#> 3 53.22514348 0 0 0 8.442803e-06 1.892414e-06 3.766665e-05 +#> 4 79.81108338 0 0 0 3.633305e-05 1.404300e-05 9.400344e-05 +#> 5 106.39702329 0 0 0 8.629346e-05 4.537116e-05 1.641254e-04 +#> 6 132.98296319 0 0 0 1.524907e-04 9.679866e-05 2.402246e-04

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

    #> #> Deviance Residuals: #> Min 1Q Median 3Q Max -#> -0.1804 -0.1597 -0.1456 -0.1265 3.7648 +#> -0.1802 -0.1605 -0.1462 -0.1255 3.7653 #> #> Coefficients: #> Estimate Std. Error z value Pr(>|z|) -#> (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 +#> (Intercept) -57.097 14.642 -3.899 9.64e-05 *** +#> hormon -28.348 33.679 -0.842 0.399960 +#> ns(log(time), df = 3)1 33.176 9.596 3.457 0.000546 *** +#> ns(log(time), df = 3)2 95.332 28.626 3.330 0.000868 *** +#> ns(log(time), df = 3)3 19.372 5.768 3.358 0.000784 *** +#> hormon:ns(log(time), df = 3)1 18.538 22.260 0.833 0.404954 +#> hormon:ns(log(time), df = 3)2 54.350 65.478 0.830 0.406512 +#> hormon:ns(log(time), df = 3)3 11.333 13.344 0.849 0.395724 #> --- #> 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: 3275.1 on 30191 degrees of freedom -#> AIC: 3291.1 +#> Residual deviance: 3274.0 on 30191 degrees of freedom +#> AIC: 3290 #> #> 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 -#> -0.1869 -0.1616 -0.1419 -0.1375 4.0169 +#> -0.1863 -0.1619 -0.1420 -0.1360 4.0239 #> #> Coefficients: #> Estimate Std. Error z value Pr(>|z|) -#> (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 . +#> (Intercept) -85.6883 24.2364 -3.536 0.000407 *** +#> estrec -0.8276 0.4397 -1.882 0.059815 . +#> ns(log(time), df = 3)1 51.7118 16.0424 3.223 0.001267 ** +#> ns(log(time), df = 3)2 151.2305 47.0434 3.215 0.001306 ** +#> ns(log(time), df = 3)3 30.3825 9.6759 3.140 0.001689 ** +#> estrec:ns(log(time), df = 3)1 0.5662 0.2964 1.910 0.056107 . +#> estrec:ns(log(time), df = 3)2 1.5671 0.8425 1.860 0.062866 . +#> estrec:ns(log(time), df = 3)3 0.3488 0.1805 1.933 0.053231 . #> --- #> 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: 3263.1 on 30191 degrees of freedom -#> AIC: 3279.1 +#> Residual deviance: 3264.2 on 30191 degrees of freedom +#> AIC: 3280.2 #> #> 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 -#> -0.7386 -0.1617 -0.1331 -0.0960 4.0292 +#> -0.6743 -0.1621 -0.1339 -0.0963 4.0591 #> #> Coefficients: #> Estimate Std. Error z value Pr(>|z|) -#> (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 +#> (Intercept) -5.650e+01 1.528e+01 -3.698 0.000218 *** +#> estrec -4.112e-01 2.564e-01 -1.604 0.108725 +#> ns(log(time), df = 3)1 3.218e+01 9.983e+00 3.223 0.001268 ** +#> ns(log(time), df = 3)2 9.490e+01 2.983e+01 3.181 0.001469 ** +#> ns(log(time), df = 3)3 1.932e+01 6.080e+00 3.177 0.001486 ** +#> horThyes -3.537e-01 1.298e-01 -2.726 0.006416 ** +#> age -1.048e-02 9.296e-03 -1.127 0.259712 +#> menostatPost 2.640e-01 1.848e-01 1.429 0.153020 +#> tsize 7.158e-03 3.989e-03 1.795 0.072723 . +#> tgrade.L 5.344e-01 1.912e-01 2.795 0.005185 ** +#> tgrade.Q -2.152e-01 1.226e-01 -1.756 0.079143 . +#> pnodes 5.266e-02 7.928e-03 6.642 3.09e-11 *** +#> progrec -2.252e-03 5.802e-04 -3.882 0.000104 *** +#> estrec:ns(log(time), df = 3)1 2.828e-01 1.717e-01 1.647 0.099502 . +#> estrec:ns(log(time), df = 3)2 7.784e-01 4.926e-01 1.580 0.114080 +#> estrec:ns(log(time), df = 3)3 1.749e-01 1.051e-01 1.663 0.096248 . #> --- #> 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: 3160.5 on 30183 degrees of freedom -#> AIC: 3192.5 +#> Residual deviance: 3164.0 on 30183 degrees of freedom +#> AIC: 3196 #> #> 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: 48 +#> progrec: 51 #> 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: 48 +#> progrec: 51 #> offset: 0

    @@ -541,14 +541,14 @@

    #> #> Deviance Residuals: #> Min 1Q Median 3Q Max -#> -0.1650 -0.1495 -0.1454 -0.1310 3.1789 +#> -0.1679 -0.1490 -0.1453 -0.1316 3.1816 #> #> Coefficients: #> Estimate Std. Error z value Pr(>|z|) -#> (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 * +#> (Intercept) -6.09132 0.17549 -34.710 <2e-16 *** +#> treatmentestPro 0.60864 0.22408 2.716 0.0066 ** +#> time 0.11562 0.04773 2.422 0.0154 * +#> treatmentestPro:time -0.13528 0.06331 -2.137 0.0326 * #> --- #> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 #> diff --git a/articles/plotsmoothHazard_files/figure-html/many-predictors-plot-1.png b/articles/plotsmoothHazard_files/figure-html/many-predictors-plot-1.png index ba5d142a8c98fc03cc3d44370e1f3d29fb84d4ff..d4ab62bcc27d957f6cd5d5f19c6e43c1d6d3c273 100644 GIT binary patch literal 51180 zcmeFYWl&sE(=G}#KyV1|E(z{#L4reqyGw8jFgPSwaE9On2@u@fCpf`^I}8rN1_*9v z$ormi>Q>$R@BaL#q4ut+*=u$8db<1RUTc4OrzVeuPKJ(vfPkf_Agh6ZfDA%F0Ggws zz`rpDOqswhC>F}{vhXYX??$FA2!26xRnYf9K%k6x{zr`8KD9@>=KJ91H3 zbVGhk5`|JneT_z6k$UH~P=lD=|}%u!r& z;W-gr^N<2FDE`mqe=P9-X@Pdfk%SP1 za7nPHH6Od8^FDS7U?1gGJaPP!=<_F+VAd0k*3R9NKY1%{b&D(7A*}@=zYg?{UR|yA z)t5i+>a-9&JIW-DAVC_ok&-*cqXUBn+M^&>m=$8CbPR$7nvo38cYAi2n5!rZ2iwV$$Qp2$m$qMyaJ!_8E4cL-GXKzt;euSpGz zJ1mUPUR}QQH0eIv1;QREj?Tjp3w>7*P8iYNuy9vdbS4y69T#2)U#;SOGh`vGviy7} zlAI{bzxWE9H*0uL*z#eLwc3Vnq zH01#r)^K;XWL2dG@(WoBy1aKyND>G}>2`M{Lr0rV zj6zpCuluD~{a()JFBX0^E{GLK@$dz;C=vcwH_XC=H91kPtktS73k_MA{#jcxVGR%- zaMyTQ@PM*j5kpBgCWuk-vx#F?JN^*)qT5Vm;ittfS!6`)ExFyh6~ISiM`gS}9WOzx z5sgj18xZCUgYN|G>ryIbdgOl-ViT1~{!}2Z<{ditRrIy0jS3XU01L4~T5i#@ku@mN zc))H!cI9?;mM6b^zZ~beEQJ?}MMMc{`hdQxb=__<&>p9KAV!TGn7Qys z1-qbg*dL+;3+I+yf@-u)(phmGK$alekh zus&K;+bJO;pGjQT*tBnI7a)+7E%Wl#(LuI~?yECq7W^nFJdKYMO52`L$q<*nzjqAN z1;X3J^#|ffjn+9BXg3zJsMmDY&wZZ}!M$w(7KK~6ctUc-s>;bk<6d7 zP+^s$jQzy?+(&lRHLHO0SHh#$BFAf(1)oUZyI3QeL zOd2^J`}Q(`Tgm9z ze14Tfor4$N(+F7#Jd?a@6@?B8fUvf+!;|sl

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    Population Time Plots

    Sahir R. Bhatnagar

    -

    2021-02-06

    +

    2021-02-07

    Source:
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    Introduction to casebase sampling

    Maxime Turgeon

    -

    2021-02-06

    +

    2021-02-07

    Source:
    vignettes/smoothHazard.Rmd diff --git a/index.html b/index.html index 49d4fc37..f2d86632 100644 --- a/index.html +++ b/index.html @@ -182,26 +182,26 @@

    #> #> Deviance Residuals: #> Min 1Q Median 3Q Max -#> -0.2579 -0.1481 -0.1377 -0.1273 3.1543 +#> -0.2479 -0.1482 -0.1373 -0.1268 3.1490 #> #> Coefficients: #> Estimate Std. Error z value Pr(>|z|) -#> (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 * +#> (Intercept) -5.85621 0.30013 -19.512 < 2e-16 *** +#> treatmentestPro 0.66414 0.37783 1.758 0.0788 . +#> ns(time, df = 3)1 -0.41110 0.35944 -1.144 0.2527 +#> ns(time, df = 3)2 0.77792 0.73254 1.062 0.2883 +#> ns(time, df = 3)3 1.37771 0.34131 4.036 5.43e-05 *** +#> treatmentestPro:ns(time, df = 3)1 0.07468 0.48613 0.154 0.8779 +#> treatmentestPro:ns(time, df = 3)2 -1.40359 0.94189 -1.490 0.1362 +#> treatmentestPro:ns(time, df = 3)3 -1.06823 0.48634 -2.196 0.0281 * #> --- #> 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: 3612.7 on 32716 degrees of freedom -#> AIC: 3628.7 +#> Residual deviance: 3613.4 on 32716 degrees of freedom +#> AIC: 3629.4 #> #> 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.

    @@ -391,12 +391,12 @@

    Developers

    Dev status

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    • Lifecycle: maturing
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    diff --git a/news/index.html b/news/index.html index 0ad0156e..6f5ebdf6 100644 --- a/news/index.html +++ b/news/index.html @@ -143,7 +143,7 @@

    Changelog

    -casebase 0.9.1 Unreleased +casebase 0.9.1 2021-02-07

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