tag:crantastic.org,2005:/packages/riskRegressionLatest activity for riskRegression2019-11-04T17:43:06Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/943852019-11-04T17:43:06Z2019-11-04T17:43:06ZriskRegression was upgraded to version 2019.11.03<a href="/packages/riskRegression">riskRegression</a> was <span class="action">upgraded</span> to version <a href="/packages/riskRegression/versions/89737">2019.11.03</a><br /><h3>Package description:</h3><p>Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/841882019-01-29T17:42:54Z2019-01-29T17:42:54ZriskRegression was upgraded to version 2019.01.29<a href="/packages/riskRegression">riskRegression</a> was <span class="action">upgraded</span> to version <a href="/packages/riskRegression/versions/80025">2019.01.29</a><br /><h3>Package description:</h3><p>Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/801452018-10-04T19:42:22Z2018-10-04T19:42:22ZriskRegression was upgraded to version 2018.10.03<a href="/packages/riskRegression">riskRegression</a> was <span class="action">upgraded</span> to version <a href="/packages/riskRegression/versions/76456">2018.10.03</a><br /><h3>Package description:</h3><p>Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/739542018-04-19T10:22:21Z2018-04-19T10:22:21ZriskRegression was upgraded to version 2018.04.21<a href="/packages/riskRegression">riskRegression</a> was <span class="action">upgraded</span> to version <a href="/packages/riskRegression/versions/70606">2018.04.21</a><br /><h3>Package description:</h3><p>Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/640562017-06-30T17:41:49Z2017-06-30T17:41:49ZriskRegression was upgraded to version 1.4.3<a href="/packages/riskRegression">riskRegression</a> was <span class="action">upgraded</span> to version <a href="/packages/riskRegression/versions/61279">1.4.3</a><br /><h3>Package description:</h3><p>Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/601252017-03-13T18:12:25Z2017-03-13T18:12:25ZriskRegression was upgraded to version 1.3.7<a href="/packages/riskRegression">riskRegression</a> was <span class="action">upgraded</span> to version <a href="/packages/riskRegression/versions/57560">1.3.7</a><br /><h3>Package description:</h3><p>Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/491722016-03-12T00:15:30Z2016-03-12T00:15:30Zcrantastic_production tagged riskRegression with Survival<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/riskRegression">riskRegression</a> with <a href="/task_views/Survival">Survival</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/441392015-10-05T11:11:55Z2015-10-05T11:11:55ZriskRegression was upgraded to version 1.1.7<a href="/packages/riskRegression">riskRegression</a> was <span class="action">upgraded</span> to version <a href="/packages/riskRegression/versions/43931">1.1.7</a><br /><h3>Package description:</h3><p>Risk regression models for survival analysis with and without competing risks.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/283042013-01-08T15:31:55Z2013-01-08T15:31:55ZriskRegression was upgraded to version 0.0.8<a href="/packages/riskRegression">riskRegression</a> was <span class="action">upgraded</span> to version <a href="/packages/riskRegression/versions/24099">0.0.8</a><br /><h3>Package description:</h3><p>Risk regression models for survival analysis with and without competing risks</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/282892013-01-08T09:31:31Z2013-01-08T09:31:31ZriskRegression was upgraded to version 0.0.7<a href="/packages/riskRegression">riskRegression</a> was <span class="action">upgraded</span> to version <a href="/packages/riskRegression/versions/24084">0.0.7</a><br /><h3>Package description:</h3><p>Risk regression models for survival analysis with and without competing risks</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/188302012-01-10T23:16:41Z2012-01-10T23:16:41ZriskRegression was released<a href="/packages/riskRegression">riskRegression</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.</p>crantastic.org