{"id":24601,"date":"2026-04-20T10:47:01","date_gmt":"2026-04-20T08:47:01","guid":{"rendered":"https:\/\/www.mathsly.it\/wordpress\/?page_id=24601"},"modified":"2026-07-23T15:25:44","modified_gmt":"2026-07-23T13:25:44","slug":"mathsly-analysis","status":"publish","type":"page","link":"https:\/\/www.mathsly.it\/wordpress\/mathsly-analysis\/","title":{"rendered":"Mathsly Analysis"},"content":{"rendered":"\n<!-- ============================================================\n  MATHSLY RESEARCH \u2014 Pagina Mathsly Analysis\n  Aggiornamento giugno 2026: Fraunces, design arioso\n  SEO: geo capsule intatta, H1\/H2 keyword, link interni preservati\n============================================================ -->\n\n<link rel=\"preconnect\" href=\"https:\/\/fonts.googleapis.com\">\n<link rel=\"preconnect\" href=\"https:\/\/fonts.gstatic.com\" crossorigin=\"\">\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Fraunces:ital,opsz,wght@0,9..144,400;0,9..144,600;0,9..144,700;1,9..144,400;1,9..144,600;1,9..144,700&amp;family=DM+Sans:wght@300;400;500;600&amp;display=swap\" rel=\"stylesheet\">\n\n<style>\n.mds *, .mds *::before, .mds *::after { box-sizing: border-box; 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}\n.mds-s7-bar { position: absolute; top: 0; left: 0; right: 0; height: 3px; background: linear-gradient(90deg, var(--teal), var(--gold), var(--teal)); }\n.mds-s7-wrap { max-width: 680px; margin: 0 auto; padding: 88px 8vw; text-align: center; position: relative; }\n.mds-s7-wrap .mds-title.lg { color: var(--white); margin: 12px 0 16px; }\n.mds-s7-wrap .mds-title.lg em { font-style: italic; color: var(--teal-lt); }\n.mds-s7-wrap p { font-size: 16px; line-height: 1.8; color: rgba(255,255,255,.50); margin-bottom: 28px; }\n.mds-s7-btns { display: flex; flex-wrap: wrap; gap: 10px; justify-content: center; }\n\n@media (max-width: 1024px) {\n  .mds-s1-wrap, .mds-s2-wrap, .mds-s4-wrap, .mds-s5-wrap { grid-template-columns: 1fr; gap: 48px; }\n  .mds-s1-wrap { padding-top: 72px; }\n  .mds-items { grid-template-columns: 1fr 1fr; }\n  .mds-lines { grid-template-columns: 1fr; }\n}\n@media (max-width: 768px) {\n  .mds-s1-wrap, .mds-s2-wrap, .mds-s3-wrap, .mds-s4-wrap, .mds-s5-wrap, .mds-s6-wrap, .mds-s7-wrap { padding: 64px 5vw; }\n  .mds-items { grid-template-columns: 1fr; }\n  .mds-hero-card-two { grid-template-columns: 1fr; }\n}\n<\/style>\n\n<div class=\"mds\">\n\n  <div style=\"position:relative;\">\n    <p class=\"mds-geo\">Mathsly Analysis \u00e8 il servizio di Mathsly Research dedicato all&#8217;analisi statistica di dati clinici e scientifici. Seconda delle tre linee Mathsly: Design, Analysis, Review. Deliverable: analisi statistica completa (descrittive, inferenza, modelli multivariati, sopravvivenza, modelli misti, SEM), gestione missing data (MCAR, MAR, MNAR, multiple imputation), sensitivity analysis pre-specificate, Tables Listings and Figures (TLF) ICH-compliant per submission EMA\/FDA, sezione Metodi e Risultati per manoscritto, codice R\/Python\/Stata documentato e riproducibile. Si rivolge a: medici ricercatori, dottorandi, pharma, CRO, chi ha analisi avviate da revisionare. Preventivo gratuito entro 24 ore.<\/p>\n  <\/div>\n\n  <!-- HERO -->\n  <section class=\"mds-s1\">\n    <div class=\"mds-s1-bar\"><\/div>\n    <div class=\"mds-glow a\"><\/div>\n    <div class=\"mds-glow b\"><\/div>\n    <div class=\"mds-s1-wrap\">\n      <div>\n        <div class=\"mds-s1-badge\">\u2461 Analysis<\/div>\n        <h1 class=\"mds-title hero mds-s1-title mds-lcp\">Mathsly <em>Analysis<\/em><\/h1>\n        <p class=\"mds-s1-claim mds-lcp\">Analizziamo i tuoi dati con la metodologia che regge alla peer review.<\/p>\n        <p class=\"mds-s1-sub mds-lcp\">I dati ci sono. Il problema non \u00e8 la quantit\u00e0: \u00e8 sapere cosa farne. E sapere come difendere ogni scelta davanti a un reviewer statistico che non ti dar\u00e0 il beneficio del dubbio.<\/p>\n        <div class=\"mds-s1-btns mds-reveal\">\n          <a class=\"mds-btn solid\" href=\"https:\/\/www.mathsly.it\/wordpress\/contatti\/\">Parliamo del tuo studio<\/a>\n          <a class=\"mds-btn outline-light\" href=\"https:\/\/www.mathsly.it\/wordpress\/servizi\/\">Tutti i servizi \u2192<\/a>\n        <\/div>\n      <\/div>\n      <div class=\"mds-s1-right mds-reveal d1\">\n        <div class=\"mds-hero-card-two\">\n          <div class=\"mds-hero-card accent\">\n            <div class=\"mds-hero-card-label\">Risposta<\/div>\n            <div class=\"mds-hero-card-val\" style=\"font-family:'Fraunces',serif;font-size:26px;font-weight:700;color:#fff;letter-spacing:-.02em;\">24h<\/div>\n            <div style=\"font-size:11px;color:rgba(255,255,255,.35);margin-top:3px;\">Piano di analisi gratuito<\/div>\n          <\/div>\n          <div class=\"mds-hero-card\">\n            <div class=\"mds-hero-card-label\">Strumenti<\/div>\n            <div class=\"mds-hero-card-val\">Stata \u00b7 R \u00b7 Python<\/div>\n            <div style=\"font-size:11px;color:rgba(255,255,255,.35);margin-top:3px;\">Codice documentato e riproducibile<\/div>\n          <\/div>\n        <\/div>\n        <div class=\"mds-hero-card\">\n          <div class=\"mds-hero-card-label\">Deliverable principali<\/div>\n          <div class=\"mds-hero-card-val\">Analisi \u00b7 TLF \u00b7 Missing data \u00b7 Sensitivity \u00b7 Sezione Metodi<\/div>\n        <\/div>\n        <div class=\"mds-hero-card accent\">\n          <div class=\"mds-hero-card-label\">Il principio<\/div>\n          <div class=\"mds-hero-card-val italic\">&#8220;Non consegniamo solo numeri. Consegniamo la giustificazione di ogni scelta. Pronta per resistere alla peer review.&#8221;<\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- PROBLEMA -->\n  <section class=\"mds-s2\">\n    <div class=\"mds-s2-wrap\">\n      <div class=\"mds-s2-left mds-reveal\">\n        <div class=\"mds-eyebrow\">La differenza che conta<\/div>\n        <h2 class=\"mds-title lg\">Un&#8217;analisi generica vs. un&#8217;analisi <em> difendibile.<\/em><\/h2>\n        <p>Qualsiasi software produce numeri. Non tutti i numeri sono risultati. La differenza sta nella scelta del metodo, nella coerenza con il disegno dello studio, nella gestione dei missing data, nella sensitivity analysis che dimostra che le conclusioni non cambiano al variare delle assunzioni.<\/p>\n        <p><strong>Un reviewer esperto riconosce immediatamente un&#8217;analisi costruita a posteriori. Una rivista di alto impatto non pubblica studi in cui la metodologia non \u00e8 solida quanto i dati.<\/strong><\/p>\n      <\/div>\n      <div class=\"mds-s2-right mds-reveal d1\">\n        <div class=\"mds-s2-right-label\">Il principio che guida il nostro lavoro<\/div>\n        <div class=\"mds-quote\">&#8220;Non consegniamo solo numeri. Consegniamo la giustificazione di ogni scelta. Pronta per resistere alla peer review.&#8221;<\/div>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- COSA FACCIAMO -->\n  <section class=\"mds-s3\">\n    <div class=\"mds-s3-wrap\">\n      <div class=\"mds-s3-head mds-reveal\">\n        <div class=\"mds-eyebrow\">Su cosa lavoriamo con te<\/div>\n        <h2 class=\"mds-title lg\">Dall&#8217;analisi grezza ai <em>risultati pubblicabili.<\/em><\/h2>\n        <p>Ogni scelta analitica \u00e8 documentata, giustificata e coerente con il disegno dello studio. Il codice \u00e8 consegnato insieme all&#8217;output \u2014 riproducibile e verificabile.<\/p>\n      <\/div>\n      <div class=\"mds-items\">\n        <div class=\"mds-item mds-reveal\">\n          <div class=\"mds-item-n\">01<\/div>\n          <div class=\"mds-item-title\">Analisi statistica completa<\/div>\n          <div class=\"mds-item-desc\">Descrittive, inferenza, modelli multivariati, analisi di sopravvivenza, modelli misti, SEM. Scelta e giustificazione dei metodi in funzione del disegno e degli endpoint.<\/div>\n        <\/div>\n        <div class=\"mds-item mds-reveal d1\">\n          <div class=\"mds-item-n\">02<\/div>\n          <div class=\"mds-item-title\">Gestione dei missing data<\/div>\n          <div class=\"mds-item-desc\">Analisi del meccanismo di missing (MCAR, MAR, MNAR) e gestione con metodi appropriati: multiple imputation, modelli robusti, analisi di sensitivity.<\/div>\n        <\/div>\n        <div class=\"mds-item mds-reveal d2\">\n          <div class=\"mds-item-n\">03<\/div>\n          <div class=\"mds-item-title\">Sensitivity analysis<\/div>\n          <div class=\"mds-item-desc\">Analisi pre-specificate per verificare la robustezza delle conclusioni al variare delle assunzioni. Documentate e pronte per rispondere ai reviewer.<\/div>\n        <\/div>\n        <div class=\"mds-item mds-reveal\">\n          <div class=\"mds-item-n\">04<\/div>\n          <div class=\"mds-item-title\">Tables, Listings &amp; Figures<\/div>\n          <div class=\"mds-item-desc\">TLF publication-ready, conformi alle linee guida della rivista target e agli standard ICH-GCP per submission regolatoria EMA\/FDA.<\/div>\n        <\/div>\n        <div class=\"mds-item mds-reveal d1\">\n          <div class=\"mds-item-n\">05<\/div>\n          <div class=\"mds-item-title\">Interpretazione dei risultati<\/div>\n          <div class=\"mds-item-desc\">Non solo i numeri: cosa significano, qual \u00e8 la rilevanza clinica, quali sono i limiti. Sezione Risultati e Discussione pronte per il manoscritto.<\/div>\n        <\/div>\n        <div class=\"mds-item mds-reveal d2\">\n          <div class=\"mds-item-n\">06<\/div>\n          <div class=\"mds-item-title\">Codice documentato<\/div>\n          <div class=\"mds-item-desc\">Analisi documentate e riproducibili in Stata, R o Python. Consegnate insieme all&#8217;output per garantire trasparenza e verificabilit\u00e0 metodologica.<\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- PER CHI -->\n  <section class=\"mds-s4\">\n    <div class=\"mds-s4-wrap\">\n      <div class=\"mds-s4-left mds-reveal\">\n        <div class=\"mds-eyebrow light\">Per chi \u00e8 pensato<\/div>\n        <h2 class=\"mds-title lg\">Chi ha i dati e vuole una <em>firma metodologica solida.<\/em><\/h2>\n        <p>Mathsly Analysis \u00e8 per chi ha i dati e sa gi\u00e0 cosa vuole dimostrare \u2014 ma vuole che ogni scelta analitica sia giustificabile davanti a qualsiasi reviewer.<\/p>\n        <p>E per chi ha gi\u00e0 fatto un&#8217;analisi in autonomia e vuole un secondo paio di occhi prima di sottomettere.<\/p>\n      <\/div>\n      <div class=\"mds-targets mds-reveal d1\">\n        <div class=\"mds-target\"><div class=\"mds-target-ico\">&#x1f4ca;<\/div><div class=\"mds-target-text\">Medici ricercatori con dataset pronti che vogliono analisi difendibili<\/div><\/div>\n        <div class=\"mds-target\"><div class=\"mds-target-ico\">&#x1f393;<\/div><div class=\"mds-target-text\">Dottorandi e team universitari con dati da analizzare per pubblicazione<\/div><\/div>\n        <div class=\"mds-target\"><div class=\"mds-target-ico\">&#x1f3ed;<\/div><div class=\"mds-target-text\">Pharma e CRO con analisi ICH-compliant per regulatory submission EMA\/FDA<\/div><\/div>\n        <div class=\"mds-target\"><div class=\"mds-target-ico\">&#x1f50d;<\/div><div class=\"mds-target-text\">Chi ha gi\u00e0 un&#8217;analisi avviata e vuole un audit metodologico prima di sottomettere<\/div><\/div>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- COME FUNZIONA -->\n  <section class=\"mds-s5\">\n    <div class=\"mds-s5-wrap\">\n      <div class=\"mds-s5-left mds-reveal\">\n        <div class=\"mds-eyebrow\">Come funziona<\/div>\n        <h2 class=\"mds-title lg\">Dal dataset ai <em>risultati difendibili.<\/em><\/h2>\n        <p>Condividi il dataset, il protocollo o il SAP se disponibili, e una descrizione degli obiettivi. Valutiamo l&#8217;impostazione metodologica e proponiamo un piano di analisi. Se hai gi\u00e0 un&#8217;analisi avviata, partiamo da l\u00ec.<\/p>\n        <p><em>Consegniamo codice documentato, output replicabili e una sezione Metodi pronta per il manoscritto.<\/em><\/p>\n        <div class=\"mds-s5-btns\">\n          <a class=\"mds-btn solid\" href=\"https:\/\/www.mathsly.it\/wordpress\/contatti\/\">Parliamo del tuo studio<\/a>\n          <a class=\"mds-btn outline\" href=\"https:\/\/www.mathsly.it\/wordpress\/prenotazione-appuntamento\/\">Prenota una call \u2192<\/a>\n        <\/div>\n      <\/div>\n      <div class=\"mds-steps mds-reveal d1\">\n        <div class=\"mds-step\">\n          <span class=\"mds-step-n\">01<\/span>\n          <div><div class=\"mds-step-title\">Condividi dati e obiettivi<\/div><div class=\"mds-step-desc\">Dataset, protocollo o SAP se disponibili. Anche solo una descrizione dell&#8217;obiettivo e del tipo di studio \u00e8 sufficiente per iniziare.<\/div><\/div>\n        <\/div>\n        <div class=\"mds-step\">\n          <span class=\"mds-step-n\">02<\/span>\n          <div><div class=\"mds-step-title\">Piano di analisi entro 24h<\/div><div class=\"mds-step-desc\">Valutazione dell&#8217;impostazione metodologica, proposta del piano di analisi e preventivo. Gratuito e senza impegno.<\/div><\/div>\n        <\/div>\n        <div class=\"mds-step\">\n          <span class=\"mds-step-n\">03<\/span>\n          <div><div class=\"mds-step-title\">Analisi, output e codice<\/div><div class=\"mds-step-desc\">TLF publication-ready, codice documentato, sezione Metodi e Risultati pronta per il manoscritto. Output ICH-compliant per submission regolatoria.<\/div><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- TRE LINEE -->\n  <section class=\"mds-s6\">\n    <div class=\"mds-s6-wrap\">\n      <div class=\"mds-s6-head mds-reveal\">\n        <div class=\"mds-eyebrow center\">Le tre linee Mathsly<\/div>\n        <h2 class=\"mds-title lg\">Ogni studio ha la sua fase critica. <em>Noi siamo l\u00e0 in ognuna.<\/em><\/h2>\n      <\/div>\n      <div class=\"mds-lines\">\n        <a class=\"mds-line-card mds-reveal\" href=\"https:\/\/www.mathsly.it\/wordpress\/mathsly-design\/\">\n          <div class=\"mds-line-n\">\u2460 Design<\/div>\n          <div class=\"mds-line-name\">Mathsly Design<\/div>\n          <div class=\"mds-line-claim\">&#8220;Progettiamo lo studio prima che i dati esistano.&#8221;<\/div>\n          <div class=\"mds-line-arr\">Scopri \u2192<\/div>\n        <\/a>\n        <div class=\"mds-line-card active mds-reveal d1\">\n          <div class=\"mds-line-n\">\u2461 Analysis<\/div>\n          <div class=\"mds-line-name\">Mathsly Analysis<\/div>\n          <div class=\"mds-line-claim\">&#8220;Analizziamo i tuoi dati con la metodologia che regge alla peer review.&#8221;<\/div>\n          <div class=\"mds-line-arr\">Sei qui<\/div>\n        <\/div>\n        <a class=\"mds-line-card mds-reveal d2\" href=\"https:\/\/www.mathsly.it\/wordpress\/mathsly-review\/\">\n          <div class=\"mds-line-n\">\u2462 Review<\/div>\n          <div class=\"mds-line-name\">Mathsly Review<\/div>\n          <div class=\"mds-line-claim\">&#8220;Prepariamo la risposta ai reviewer prima che diventi un problema.&#8221;<\/div>\n          <div class=\"mds-line-arr\">Scopri \u2192<\/div>\n        <\/a>\n      <\/div>\n    <\/div>\n  <\/section>\n\n  <!-- CTA -->\n  <section class=\"mds-s7\" style=\"position:relative;\">\n    <div class=\"mds-s7-bar\"><\/div>\n    <div class=\"mds-s7-wrap\">\n      <div class=\"mds-eyebrow light center mds-reveal\">Parliamo del tuo progetto<\/div>\n      <h2 class=\"mds-title lg mds-reveal d1\">I tuoi dati meritano un&#8217;analisi <em>all&#8217;altezza.<\/em><\/h2>\n      <p class=\"mds-reveal d1\">Condividi dataset e obiettivi. Valutiamo e rispondiamo entro 24 ore con un piano di analisi. Il preventivo \u00e8 gratuito.<\/p>\n      <div class=\"mds-s7-btns mds-reveal d2\">\n        <a class=\"mds-btn solid\" href=\"https:\/\/www.mathsly.it\/wordpress\/contatti\/\">Parliamo del tuo studio<\/a>\n        <a class=\"mds-btn outline-light\" href=\"https:\/\/www.mathsly.it\/wordpress\/prenotazione-appuntamento\/\">Prenota una call<\/a>\n      <\/div>\n    <\/div>\n  <\/section>\n\n<\/div>\n\n<script>\n(function(){\n  var io = new IntersectionObserver(function(e){ e.forEach(function(x){ if(x.isIntersecting){ x.target.classList.add(\"up\"); io.unobserve(x.target); } }); }, { threshold: 0.07 });\n  document.querySelectorAll(\".mds-reveal:not(.mds-lcp)\").forEach(function(el){ io.observe(el); });\n})();\n<\/script>\n","protected":false},"excerpt":{"rendered":"<p>Mathsly Analysis \u00e8 il servizio di Mathsly Research dedicato all&#8217;analisi statistica di dati clinici e scientifici. Seconda delle tre linee Mathsly: Design, Analysis, Review. Deliverable: analisi statistica completa (descrittive, inferenza, modelli multivariati, sopravvivenza, modelli misti, SEM), gestione missing data (MCAR, MAR, MNAR, multiple imputation), sensitivity analysis pre-specificate, Tables Listings and Figures (TLF) ICH-compliant per submission &#8230; <a title=\"Mathsly Analysis\" class=\"read-more\" href=\"https:\/\/www.mathsly.it\/wordpress\/mathsly-analysis\/\" aria-label=\"Per saperne di pi\u00f9 su Mathsly Analysis\">Leggi tutto<\/a><\/p>\n","protected":false},"author":138,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-24601","page","type-page","status-publish"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.3 (Yoast SEO v28.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Mathsly Analysis \u2014 Analisi statistica per studi clinici e pubblicazioni<\/title>\n<meta name=\"description\" content=\"Analisi statistica difendibile per peer review e submission regolatoria. 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