tag:crantastic.org,2005:/task_views/MetaAnalysisLatest activity for MetaAnalysis2017-07-08T23:15:17Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/655692017-08-17T09:40:42Z2017-08-17T09:40:42Zdosresmeta was upgraded to version 2.0.0<a href="/packages/dosresmeta">dosresmeta</a> was <span class="action">upgraded</span> to version <a href="/packages/dosresmeta/versions/62698">2.0.0</a><br /><h3>Package description:</h3><p>It consists of a collection of functions to estimate dose-response relations from summarized dose-response data and to combine them according to principles of (multivariate) random-effects model.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/655572017-08-16T16:22:42Z2017-08-16T16:22:42Zxmeta was upgraded to version 1.1-4<a href="/packages/xmeta">xmeta</a> was <span class="action">upgraded</span> to version <a href="/packages/xmeta/versions/62688">1.1-4</a><br /><h3>Package description:</h3><p>A toolbox for meta-analysis. This package includes a collection of functions for (1) implementing robust multivariate meta-analysis of continuous or binary outcomes; and (2) a bivariate Egger's test for detecting publication bias.</p>crantastic.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/654162017-08-13T10:02:27Z2017-08-13T10:02:27Zpcnetmeta was upgraded to version 2.5<a href="/packages/pcnetmeta">pcnetmeta</a> was <span class="action">upgraded</span> to version <a href="/packages/pcnetmeta/versions/62568">2.5</a><br /><h3>Package description:</h3><p>Performs arm-based network meta-analysis for datasets with binary, continuous, and count outcomes using the Bayesian methods of Zhang et al (2014) <doi:10.1177/1740774513498322> and Lin et al (2017) <doi:10.18637/jss.v080.i05>.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/653892017-08-11T22:21:29Z2017-08-11T22:21:29Zmeta was upgraded to version 4.8-4<a href="/packages/meta">meta</a> was <span class="action">upgraded</span> to version <a href="/packages/meta/versions/62541">4.8-4</a><br /><h3>Package description:</h3><p>User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rcker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - fixed effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - statistical tests and trim-and-fill method to evaluate bias in meta-analysis; - import data from 'RevMan 5'; - prediction interval, Hartung-Knapp and Paule-Mandel method for random effects model; - cumulative meta-analysis and leave-one-out meta-analysis; - meta-regression (if R package 'metafor' is installed); - generalised linear mixed models (if R packages 'metafor', 'lme4', 'numDeriv', and 'BiasedUrn' are installed).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/653252017-08-09T17:21:37Z2017-08-09T17:21:37Znetmeta was upgraded to version 0.9-6<a href="/packages/netmeta">netmeta</a> was <span class="action">upgraded</span> to version <a href="/packages/netmeta/versions/62483">0.9-6</a><br /><h3>Package description:</h3><p>A comprehensive set of functions providing frequentist methods for network meta-analysis and supporting Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rcker (2012) <DOI:10.1002/jrsm.1058>; - net heat plot and design-based decomposition of Cochran's Q according to Krahn et al. (2013) <DOI:10.1186/1471-2288-13-35>; - measures characterizing the flow of evidence between two treatments by Knig et al. (2013) <DOI:10.1002/sim.6001>; - ranking of treatments (frequentist analogue of SUCRA) according to Rcker & Schwarzer (2015) <DOI:10.1186/s12874-015-0060-8>; - partial order of treatment rankings ('poset') and Hasse diagram for 'poset' (Carlsen & Bruggemann, 2014) <DOI:10.1002/cem.2569>; - split direct and indirect evidence to check consistency (Dias et al., 2010) <DOI:10.1002/sim.3767>; - league table with network meta-analysis results; - automated drawing of network graphs described in Rcker & Schwarzer (2016) <DOI:10.1002/jrsm.1143>.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/647952017-07-22T21:21:18Z2017-07-22T21:21:18Zmeta was upgraded to version 4.8-3<a href="/packages/meta">meta</a> was <span class="action">upgraded</span> to version <a href="/packages/meta/versions/61972">4.8-3</a><br /><h3>Package description:</h3><p>User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rcker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - fixed effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - statistical tests and trim-and-fill method to evaluate bias in meta-analysis; - import data from 'RevMan 5'; - prediction interval, Hartung-Knapp and Paule-Mandel method for random effects model; - cumulative meta-analysis and leave-one-out meta-analysis; - meta-regression (if R package 'metafor' is installed); - generalised linear mixed models (if R packages 'metafor', 'lme4', 'numDeriv', and 'BiasedUrn' are installed).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/647642017-07-21T15:41:18Z2017-07-21T15:41:18Zmetansue was upgraded to version 2.0<a href="/packages/metansue">metansue</a> was <span class="action">upgraded</span> to version <a href="/packages/metansue/versions/61941">2.0</a><br /><h3>Package description:</h3><p>Revisited version of MetaNSUE, a novel meta-analytic method that allows an unbiased inclusion of studies with Non Statistically-Significant Unreported Effects (NSUEs). Briefly, the method first calculates the interval where the unreported effects (e.g. t-values) should be according to the threshold of statistical significance used in each study. Afterwards, maximum likelihood techniques are used to impute the expected effect size of each study with NSUEs, accounting for between-study heterogeneity and potential covariates. Multiple imputations of the NSUEs are then randomly created based on the expected value, variance and statistical significance bounds. Finally, a restricted-maximum likelihood random-effects meta-analysis is separately conducted for each set of imputations, and estimations from these meta-analyses are pooled. Please read the reference in 'metansue' for details of the procedure.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/644642017-07-12T01:21:16Z2017-07-12T01:21:16ZMAVIS was upgraded to version 1.1.3<a href="/packages/MAVIS">MAVIS</a> was <span class="action">upgraded</span> to version <a href="/packages/MAVIS/versions/61662">1.1.3</a><br /><h3>Package description:</h3><p>Interactive shiny application for running a meta-analysis, provides support for both random effects and fixed effects models with the 'metafor' package. Additional support is included for calculating effect sizes plus support for single case designs, graphical output, and detecting publication bias.</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/643252017-07-08T23:15:17Z2017-07-08T23:15:17Zcrantastic_production tagged effsize with MetaAnalysis<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/effsize">effsize</a> with <a href="/task_views/MetaAnalysis">MetaAnalysis</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/643262017-07-08T23:15:17Z2017-07-08T23:15:17Zcrantastic_production tagged forestmodel with MetaAnalysis<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/forestmodel">forestmodel</a> with <a href="/task_views/MetaAnalysis">MetaAnalysis</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/643272017-07-08T23:15:17Z2017-07-08T23:15:17Zcrantastic_production tagged getmstatistic with MetaAnalysis<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/getmstatistic">getmstatistic</a> with <a href="/task_views/MetaAnalysis">MetaAnalysis</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/643282017-07-08T23:15:17Z2017-07-08T23:15:17Zcrantastic_production tagged nmaINLA with MetaAnalysis<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/nmaINLA">nmaINLA</a> with <a href="/task_views/MetaAnalysis">MetaAnalysis</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/643292017-07-08T23:15:17Z2017-07-08T23:15:17Zcrantastic_production tagged RandMeta with MetaAnalysis<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/RandMeta">RandMeta</a> with <a href="/task_views/MetaAnalysis">MetaAnalysis</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/643302017-07-08T23:15:17Z2017-07-08T23:15:17Zcrantastic_production tagged ratesci with MetaAnalysis<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/ratesci">ratesci</a> with <a href="/task_views/MetaAnalysis">MetaAnalysis</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/642912017-07-07T17:20:17Z2017-07-07T17:20:17Zbayesmeta was upgraded to version 1.5<a href="/packages/bayesmeta">bayesmeta</a> was <span class="action">upgraded</span> to version <a href="/packages/bayesmeta/versions/61511">1.5</a><br /><h3>Package description:</h3><p>A collection of functions allowing to derive the posterior distribution of the two parameters in a random-effects meta-analysis, and providing functionality to evaluate joint and marginal posterior probability distributions, predictive distributions, shrinkage effects, etc.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/640632017-06-30T22:20:43Z2017-06-30T22:20:43ZepiR was upgraded to version 0.9-87<a href="/packages/epiR">epiR</a> was <span class="action">upgraded</span> to version <a href="/packages/epiR/versions/61286">0.9-87</a><br /><h3>Package description:</h3><p>Tools for the analysis of epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/640612017-06-30T21:01:35Z2017-06-30T21:01:35Zmetaviz was upgraded to version 0.1.1<a href="/packages/metaviz">metaviz</a> was <span class="action">upgraded</span> to version <a href="/packages/metaviz/versions/61284">0.1.1</a><br /><h3>Package description:</h3><p>Creates rainforest plots (proposed by Schild & Voracek, 2015 <doi:10.1002/jrsm.1125>), a variant and enhancement of the classic forest plot for meta-analysis. In addition, functionalities for visual funnel plot inference are provided. In the near future, the 'metaviz' package will be extended by further, established as well as novel, plotting options for visualizing meta-analytic data.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/640062017-06-29T14:40:48Z2017-06-29T14:40:48Zesc was upgraded to version 0.3.1<a href="/packages/esc">esc</a> was <span class="action">upgraded</span> to version <a href="/packages/esc/versions/61238">0.3.1</a><br /><h3>Package description:</h3><p>Implementation of the web-based 'Practical Meta-Analysis Effect Size Calculator' from David B. Wilson (<http://www.campbellcollaboration.org/escalc/html/EffectSizeCalculator-Home.php>) in R. Based on the input, the effect size can be returned as standardized mean difference, Hedges' g, correlation coefficient r or Fisher's transformation z, odds ratio or log odds effect size.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/638142017-06-23T11:41:35Z2017-06-23T11:41:35ZnmaINLA was upgraded to version 0.1.1<a href="/packages/nmaINLA">nmaINLA</a> was <span class="action">upgraded</span> to version <a href="/packages/nmaINLA/versions/61046">0.1.1</a><br /><h3>Package description:</h3><p>Performs network meta-analysis using integrated nested Laplace approximations ('INLA'). Includes methods to assess the heterogeneity and inconsistency in the network. Contains more than ten different network meta-analysis data. 'INLA' package can be obtained from <http://www.r-inla.org>. We recommend the testing version.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/637892017-06-22T14:21:18Z2017-06-22T14:21:18Zmetafor was upgraded to version 2.0-0<a href="/packages/metafor">metafor</a> was <span class="action">upgraded</span> to version <a href="/packages/metafor/versions/61021">2.0-0</a><br /><h3>Package description:</h3><p>A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat, GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/637712017-06-22T09:41:25Z2017-06-22T09:41:25Zmetamisc was upgraded to version 0.1.5<a href="/packages/metamisc">metamisc</a> was <span class="action">upgraded</span> to version <a href="/packages/metamisc/versions/61003">0.1.5</a><br /><h3>Package description:</h3><p>Meta-analysis of diagnostic and prognostic modeling studies. Summarize estimates of diagnostic test accuracy and prediction model performance. Validate, update and combine published prediction models.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/637162017-06-20T18:21:27Z2017-06-20T18:21:27ZnmaINLA was released<a href="/packages/nmaINLA">nmaINLA</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Performs network meta-analysis using integrated nested Laplace approximations ('INLA'). Includes methods to assess the heterogeneity and inconsistency in the network. Contains more than ten different network meta-analysis data. 'INLA' package can be obtained from <http://www.r-inla.org>. We recommend the testing version.</p>crantastic.org