{"id":48632,"date":"2026-11-10T07:14:48","date_gmt":"2026-11-10T07:14:48","guid":{"rendered":"https:\/\/dpc-software.de\/?p=48632"},"modified":"2026-11-10T07:14:51","modified_gmt":"2026-11-10T07:14:51","slug":"statanow-update-november-2026","status":"publish","type":"post","link":"https:\/\/dpc-software.de\/fr\/statanow-update-november-2026\/","title":{"rendered":"StataNow Update November 2026"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>StataNow 19.5: New Feature Highlights<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Wir freuen uns, Ihnen die neuesten Funktionen von StataNow 19.5 vorzustellen.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>1) Nichtlineare Difference-in-Differences-Modelle f\u00fcr Paneldaten<\/strong><br>Mit den neuen Befehlen <code>xthdidfracreg<\/code>, <code>xthdidlogit<\/code> und <code>xthdidpoisson<\/code> k\u00f6nnen heterogene Difference-in-Differences-Analysen f\u00fcr Paneldaten mit nichtlinearen Modellen durchgef\u00fchrt werden. Die neuen Sch\u00e4tzverfahren eignen sich f\u00fcr unterschiedliche Arten von Ergebnisvariablen: anteilige (fractional), bin\u00e4re und Z\u00e4hldaten. Damit lassen sich Behandlungseffekte auch dann untersuchen, wenn die abh\u00e4ngige Variable nicht kontinuierlich ist.<br>Mehr erfahren: <a href=\"https:\/\/www.stata.com\/statanow\/nonlinear-heterogeneous-DID-for-panel-data\/\">https:\/\/www.stata.com\/statanow\/nonlinear-heterogeneous-DID-for-panel-data\/<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>2) Jackknife-after-Bootstrap-Standardfehler<\/strong><br>Die neue Option <code>jab<\/code> f\u00fcr den Befehl <code>bootstrap<\/code> erm\u00f6glicht die Berechnung von Jackknife-after-Bootstrap-Standardfehlern (JAB). Damit l\u00e4sst sich beurteilen, wie pr\u00e4zise der gesch\u00e4tzte Bootstrap-Standardfehler ist. Die Methode bietet eine zus\u00e4tzliche M\u00f6glichkeit, die Genauigkeit von Bootstrap-Sch\u00e4tzungen zu bewerten.<br>Mehr erfahren: <a href=\"https:\/\/www.stata.com\/statanow\/jackknife-after-bootstrap\/\">https:\/\/www.stata.com\/statanow\/jackknife-after-bootstrap\/<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>3) Erweiterungen f\u00fcr Forest Plots<\/strong><br>Der Befehl <code>meta forestplot<\/code> wurde um die Optionen <code>robias()<\/code> und <code>plot()<\/code> erweitert. Mit <code>robias()<\/code> k\u00f6nnen farblich gekennzeichnete Bewertungen des Verzerrungsrisikos (Risk of Bias, RoB) zusammen mit den Studienergebnissen dargestellt werden. Die wiederholte Verwendung von <code>plot()<\/code> erm\u00f6glicht es, mehrere Effektsch\u00e4tzungen und Konfidenzintervalle nebeneinander in einem Forest Plot anzuzeigen. So lassen sich Ergebnisse \u00fcbersichtlicher vergleichen und zus\u00e4tzliche Informationen direkt visualisieren.<br>Mehr erfahren: <a href=\"https:\/\/www.stata.com\/statanow\/forest-plot-enhancements\/\">https:\/\/www.stata.com\/statanow\/forest-plot-enhancements\/<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>4) Suchen und Ersetzen in Word-Dokumenten<\/strong><br>Mit dem neuen Befehl <code>putdocx findreplace<\/code> k\u00f6nnen Texte in Word-Dokumenten gesucht und ersetzt werden. Dadurch lassen sich bestehende Dokumente direkt in Stata bearbeiten, ohne die entsprechenden Textstellen manuell \u00e4ndern zu m\u00fcssen.<br>Mehr erfahren: <a href=\"https:\/\/www.stata.com\/new-in-stata\/features#find_replace\">https:\/\/www.stata.com\/new-in-stata\/features#find_replace<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.stata.com\/news\/statanow-updates\/\" data-type=\"link\" data-id=\"https:\/\/www.stata.com\/news\/statanow-updates\/\">Entdecken Sie alle StataNow Neuerungen.<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Wenn Sie Fragen haben, kontaktieren Sie uns gerne:<strong> <a>Info@dpc-software.de<\/a><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>StataNow 19.5: New Feature Highlights Wir freuen uns, Ihnen die neuesten Funktionen von StataNow 19.5 vorzustellen. 1) Nichtlineare Difference-in-Differences-Modelle f\u00fcr PaneldatenMit den neuen Befehlen xthdidfracreg, xthdidlogit und xthdidpoisson k\u00f6nnen heterogene Difference-in-Differences-Analysen f\u00fcr Paneldaten mit nichtlinearen Modellen durchgef\u00fchrt werden. Die neuen Sch\u00e4tzverfahren eignen sich f\u00fcr unterschiedliche Arten von Ergebnisvariablen: anteilige (fractional), bin\u00e4re und Z\u00e4hldaten. Damit lassen&hellip;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[187],"tags":[],"class_list":["post-48632","post","type-post","status-publish","format-standard","hentry","category-statanow","category-187","description-off"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>StataNow Update November 2026 | DPC Software GmbH<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dpc-software.de\/fr\/statanow-update-november-2026\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"StataNow Update November 2026 | DPC Software GmbH\" \/>\n<meta property=\"og:description\" content=\"StataNow 19.5: New Feature Highlights Wir freuen uns, Ihnen die neuesten Funktionen von StataNow 19.5 vorzustellen. 1) Nichtlineare Difference-in-Differences-Modelle f\u00fcr PaneldatenMit den neuen Befehlen xthdidfracreg, xthdidlogit und xthdidpoisson k\u00f6nnen heterogene Difference-in-Differences-Analysen f\u00fcr Paneldaten mit nichtlinearen Modellen durchgef\u00fchrt werden. Die neuen Sch\u00e4tzverfahren eignen sich f\u00fcr unterschiedliche Arten von Ergebnisvariablen: anteilige (fractional), bin\u00e4re und Z\u00e4hldaten. 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