tag:crantastic.org,2005:/authors/3947Latest activity for Federico Rotolo2018-11-07T00:22:16Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/838162019-01-18T22:03:46Z2019-01-18T22:03:46Zsurrosurv was upgraded to version 1.1.25<a href="/packages/surrosurv">surrosurv</a> was <span class="action">upgraded</span> to version <a href="/packages/surrosurv/versions/79681">1.1.25</a><br /><h3>Package description:</h3><p>Provides functions for the evaluation of surrogate endpoints when both the surrogate and the true endpoint are failure time variables. The approaches implemented are: (1) the two-step approach (Burzykowski et al, 2001) <DOI:10.1111/1467-9876.00244> with a copula model (Clayton, Plackett, Hougaard) at the first step and either a linear regression of log-hazard ratios at the second step (either adjusted or not for measurement error); (2) mixed proportional hazard models estimated via mixed Poisson GLM (Rotolo et al, 2019 <DOI:10.1177/0962280217718582>).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/814452018-11-07T00:22:16Z2018-11-07T00:22:16Zparfm was upgraded to version 2.7.6<a href="/packages/parfm">parfm</a> was <span class="action">upgraded</span> to version <a href="/packages/parfm/versions/77535">2.7.6</a><br /><h3>Package description:</h3><p>Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: exponential, Weibull, inverse Weibull (Frchet), Gompertz, lognormal, log-skew-normal, and loglogistic. Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/668052017-09-27T08:42:23Z2017-09-27T08:42:23Zsurrosurv was upgraded to version 1.1.24<a href="/packages/surrosurv">surrosurv</a> was <span class="action">upgraded</span> to version <a href="/packages/surrosurv/versions/63902">1.1.24</a><br /><h3>Package description:</h3><p>Provides functions for the evaluation of surrogate endpoints when both the surrogate and the true endpoint are failure time variables. The approaches implemented are: (1) the two-step approach (Burzykowski et al, 2001) <DOI:10.1111/1467-9876.00244> with a copula model (Clayton, Plackett, Hougaard) at the first step and either a linear regression of log-hazard ratios at the second step (either adjusted or not for measurement error); (2) mixed proportional hazard models estimated via mixed Poisson GLM (Rotolo et al, 2017 <DOI:10.1177/0962280217718582>).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/621462017-05-03T15:22:08Z2017-05-03T15:22:08Zsurrosurv was upgraded to version 1.1.15<a href="/packages/surrosurv">surrosurv</a> was <span class="action">upgraded</span> to version <a href="/packages/surrosurv/versions/59440">1.1.15</a><br /><h3>Package description:</h3><p>Provides functions for the evaluation of surrogate endpoints when both the surrogate and the true endpoint are failure time variables. The approaches implemented are: (1) the two-step approach (Burzykowski et al, 2001) <DOI:10.1111/1467-9876.00244> with a copula model (Clayton, Plackett, Hougaard) at the first step and either a linear regression of log-hazard ratios at the second step (either adjusted or not for measurement error); (2) mixed proportional hazard models estimated via mixed Poisson GLM.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/620262017-04-29T20:21:44Z2017-04-29T20:21:44Zparfm was upgraded to version 2.7.5<a href="/packages/parfm">parfm</a> was <span class="action">upgraded</span> to version <a href="/packages/parfm/versions/59320">2.7.5</a><br /><h3>Package description:</h3><p>Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: exponential, Weibull, inverse Weibull (Frchet), Gompertz, lognormal, log-skew-normal, and loglogistic. Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/602102017-03-13T18:14:49Z2017-03-13T18:14:49Zsurrosurv was upgraded to version 1.1.10<a href="/packages/surrosurv">surrosurv</a> was <span class="action">upgraded</span> to version <a href="/packages/surrosurv/versions/57645">1.1.10</a><br /><h3>Package description:</h3><p>Provides functions for the evaluation of surrogate endpoints when both the surrogate and the true endpoint are failure time variables. The approaches implemented are: (1) the two-step approach (Burzykowski et al, 2001) <DOI:10.1111/1467-9876.00244> with a copula model (Clayton, Plackett, Hougaard) at the first step and either a linear regression of log-hazard ratios at the second step (either adjusted or not for measurement error); (2) mixed proportional hazard models estimated via mixed Poisson GLM.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/589822017-01-30T14:41:18Z2017-01-30T14:41:18Zparfm was upgraded to version 2.7.1<a href="/packages/parfm">parfm</a> was <span class="action">upgraded</span> to version <a href="/packages/parfm/versions/56503">2.7.1</a><br /><h3>Package description:</h3><p>Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: Weibull, inverse Weibull, exponential, Gompertz, lognormal and loglogistic. Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/575252016-12-09T01:21:42Z2016-12-09T01:21:42Zsurrosurv was upgraded to version 1.1.5<a href="/packages/surrosurv">surrosurv</a> was <span class="action">upgraded</span> to version <a href="/packages/surrosurv/versions/55076">1.1.5</a><br /><h3>Package description:</h3><p>Provides functions for the evaluation of surrogate endpoints when both the surrogate and the true endpoint are failure time variables. The approaches implemented are: (1) the two-step approach (Burzykowski et al, 2001) <DOI:10.1111/1467-9876.00244> with a copula model (Clayton, Plackett, Hougaard) at the first step and either a linear regression of log-hazard ratios at the second step (either adjusted or not for measurement error); (2) mixed proportional hazard models estimated via mixed Poisson GLM.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/565992016-11-10T07:41:53Z2016-11-10T07:41:53Zsurrosurv was released<a href="/packages/surrosurv">surrosurv</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Provides functions for the evaluation of surrogate endpoints when both the surrogate and the true endpoint are failure time variables. The approaches implemented are: (1) the two-step approach (Burzykowski et al, 2001) <DOI:10.1111/1467-9876.00244> with a copula model (Clayton, Plackett, Hougaard) at the first step and either a linear regression of log-hazard ratios at the second step (either adjusted or not for measurement error); (2) mixed proportional hazard models estimated via mixed Poisson GLM (Rotolo et al, 2019 <DOI:10.1177/0962280217718582>).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/491662016-03-12T00:15:30Z2016-03-12T00:15:30Zcrantastic_production tagged parfm with Survival<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/parfm">parfm</a> with <a href="/task_views/Survival">Survival</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/433812015-09-03T06:31:48Z2015-09-03T06:31:48Zparfm was upgraded to version 2.5.10<a href="/packages/parfm">parfm</a> was <span class="action">upgraded</span> to version <a href="/packages/parfm/versions/43174">2.5.10</a><br /><h3>Package description:</h3><p>Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: Weibull, inverse Weibull, exponential, Gompertz, lognormal and loglogistic. Possible Frailty distributions: gamma, inverse Gaussian, positive stable and lognormal.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/412632015-06-08T22:31:31Z2015-06-08T22:31:31Zparfm was upgraded to version 2.5.8<a href="/packages/parfm">parfm</a> was <span class="action">upgraded</span> to version <a href="/packages/parfm/versions/41063">2.5.8</a><br /><h3>Package description:</h3><p>Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: Weibull, inverse Weibull, exponential, Gompertz, lognormal and loglogistic. Possible Frailty distributions: gamma, inverse Gaussian, positive stable and lognormal.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/190802012-02-16T20:12:32Z2012-02-16T20:12:32Zparfm was released<a href="/packages/parfm">parfm</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: exponential, Weibull, inverse Weibull (Frchet), Gompertz, lognormal, log-skew-normal, and loglogistic. Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.</p>crantastic.org