tag:crantastic.org,2005:/packages/ConfoundedMetaLatest activity for ConfoundedMeta2017-08-14T13:20:30Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/654392017-08-14T13:20:30Z2017-08-14T13:20:30ZConfoundedMeta was upgraded to version 1.3.0<a href="/packages/ConfoundedMeta">ConfoundedMeta</a> was <span class="action">upgraded</span> to version <a href="/packages/ConfoundedMeta/versions/62591">1.3.0</a><br /><h3>Package description:</h3><p>Conducts sensitivity analyses for unmeasured confounding in random-effects meta-analysis per Mathur & VanderWeele (in preparation). Given output from a random-effects meta-analysis with a relative risk outcome, computes point estimates and inference for: (1) the proportion of studies with true causal effect sizes more extreme than a specified threshold of scientific significance; and (2) the minimum bias factor and confounding strength required to reduce to less than a specified threshold the proportion of studies with true effect sizes of scientifically significant size. Creates plots and tables for visualizing these metrics across a range of bias values. Provides tools to easily scrape study-level data from a published forest plot or summary table to obtain the needed estimates when these are not reported.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/643462017-07-09T07:00:33Z2017-07-09T07:00:33ZConfoundedMeta was upgraded to version 1.2.0<a href="/packages/ConfoundedMeta">ConfoundedMeta</a> was <span class="action">upgraded</span> to version <a href="/packages/ConfoundedMeta/versions/61544">1.2.0</a><br /><h3>Package description:</h3><p>Conducts sensitivity analyses for unmeasured confounding in random-effects meta-analysis per Mathur & VanderWeele (in preparation). Given output from a random-effects meta-analysis with a relative risk outcome, computes point estimates and inference for: (1) the proportion of studies with true causal effect sizes more extreme than a specified threshold of scientific significance; and (2) the minimum bias factor and confounding strength required to reduce to less than a specified threshold the proportion of studies with true effect sizes of scientifically significant size. Creates plots and tables for visualizing these metrics across a range of bias values. Provides tools to easily scrape study-level data from a published forest plot or summary table to obtain the needed estimates when these are not reported.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/643242017-07-08T23:15:17Z2017-07-08T23:15:17Zcrantastic_production tagged ConfoundedMeta with MetaAnalysis<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/ConfoundedMeta">ConfoundedMeta</a> with <a href="/task_views/MetaAnalysis">MetaAnalysis</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/634392017-06-12T16:20:29Z2017-06-12T16:20:29ZConfoundedMeta was upgraded to version 1.1.0<a href="/packages/ConfoundedMeta">ConfoundedMeta</a> was <span class="action">upgraded</span> to version <a href="/packages/ConfoundedMeta/versions/60671">1.1.0</a><br /><h3>Package description:</h3><p>Conducts sensitivity analyses for unmeasured confounding in random-effects meta-analysis per Mathur & VanderWeele (in preparation). Given output from a random-effects meta-analysis with a relative risk outcome, computes point estimates and inference for: (1) the proportion of studies with true causal effect sizes more extreme than a specified threshold of scientific significance; and (2) the minimum bias factor and confounding strength required to reduce to less than a specified threshold the proportion of studies with true effect sizes of scientifically significant size. Creates plots and tables for visualizing these metrics across a range of bias values. Provides tools to easily scrape study-level data from a published forest plot or summary table to obtain the needed estimates when these are not reported.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/631482017-06-02T17:40:30Z2017-06-02T17:40:30ZConfoundedMeta was released<a href="/packages/ConfoundedMeta">ConfoundedMeta</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Conducts sensitivity analyses for unmeasured confounding in random-effects meta-analysis per Mathur & VanderWeele (in preparation). Given output from a random-effects meta-analysis with a relative risk outcome, computes point estimates and inference for: (1) the proportion of studies with true causal effect sizes more extreme than a specified threshold of scientific significance; and (2) the minimum bias factor and confounding strength required to reduce to less than a specified threshold the proportion of studies with true effect sizes of scientifically significant size. Creates plots and tables for visualizing these metrics across a range of bias values. Provides tools to easily scrape study-level data from a published forest plot or summary table to obtain the needed estimates when these are not reported.</p>crantastic.org