[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-186400-en":3,"doc-seo-186400-105":30,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},186400,8796095360427,"Lucas Martin","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",8,"Research & Report","Intervention at time t","This document outlines a framework for analyzing interventions over time, focusing on binary intervention trajectories and regional-level variables. It introduces the concept of 'At', representing the binary intervention at time t, and 'Gt', representing regional-level prognostic factors influencing the intervention. The document further details individual-level variables crucial for the analysis, including baseline covariates (Xi), the total number of visits up to time t (Ni,t), an indicator for a visit occurring at time t (∆Ni,t), zero-inflated outcomes at category k and time t (Yi,t,k), and the aggregation of all individualized information at time t (Ii,t). Combined variables, 'Li,t' and 'Oi,t', are presented as integrating regional and individual data before intervention assignment and as aggregations of all observed data at time t, respectively. General notations such as the number of subjects (n), length of follow-up time (T), target causal parameter (ψ), visiting intensity parameters ((γ, λ)π), propensity score (h), and models for outcome prediction (mp0(Oi,t; βp ) and my0 (Oi,t ; βy )) and outcome analysis (ma(Oi,t)) are also defined, providing a comprehensive set of parameters for a robust study design and data interpretation.","| Intervent ion at time t | Trajectories of binary intervention with 45% threshold\u003Cbr>\u003Cbr>Start (15 Feb) P1(24 Mar) P2 (15 Apr) P3 (4 May) P4 (17 May) UL (1 Jun) End (15 Jul)\u003Cbr>Days | Region |  |\n| --- | --- | --- | --- |\n|  |  | | Alappuzha Bangalore Urban Ernakulam Faridkot Gurgaon Hyderabad Indore\u003Cbr>Kolkata Mysuru\u003Cbr>North West Delhi Sahibzada Ajit Singh Nagar South 24 Parganas\u003Cbr>South Delhi Thane West Delhi |\n\n| Regional-level variables |  |\n| --- | --- |\n| At\u003Cbr>Gt | Binary intervention at time t\u003Cbr>Regional-level prognostic factors of the intervention |\n| Individual-level variables for subject i |  |\n| Xi\u003Cbr>Ni,t\u003Cbr>∆Ni,t\u003Cbr>Yi,t,k\u003Cbr>Ii,t | Individual baseline covariate (e.g., demographic information)\u003Cbr>Total number of visits up to time t\u003Cbr>Indicator for a visit occurring at time t\u003Cbr>Zero-inflated outcome at category k and time t\u003Cbr>Aggregation of all individualized information at time t |\n| Combined variables for subject i |  |\n| Li,t\u003Cbr>Oi,t | Combined information including regional Gt and individual Ii,t before assigning At\u003Cbr>Aggregation of all the observed data at time t |\n| General notations |  |\n| n\u003Cbr>T\u003Cbr>ψ\u003Cbr>(γ, λ)π\u003Cbr>h\u003Cbr>mp0(Oi,t; βp )\u003Cbr>my0 (Oi,t ; βy )\u003Cbr>ma(Oi,t) | Number of subjects in the study Length of follow-up time Target causal parameter Visiting intensity parameters\u003Cbr>Propensity score    \u003Cbr>Conditional mean outcome model E{H(Oi,t, ψ) | Li,t}\u003Cbr>Unknown baseline function of Oi,t with parameter βp related to zero-inflation probability Unknown baseline function of Oi,t with parameter βy related to non-zero outcome Known function of Oi,t in outcome model associated with At and ψ |","cbCaictdO7HVQ86T","https://ap.wps.com/l/cbCaictdO7HVQ86T","pdf",1594378,1,40,"English","en",105,"# Intervention at time t\n## Regional-level variables\n## Individual-level variables for subject i\n## Combined variables for subject i\n## General notations","[{\"question\":\"What does 'At' represent in this framework?\",\"answer\":\"'At' represents the binary intervention at time t.\"},{\"question\":\"What are the key individual-level variables mentioned?\",\"answer\":\"Key individual-level variables include baseline covariates (Xi), total number of visits (Ni,t), visit indicator (∆Ni,t), zero-inflated outcomes (Yi,t,k), and aggregated individualized information (Ii,t).\"},{\"question\":\"What is the purpose of 'Li,t' and 'Oi,t'?\",\"answer\":\"'Li,t' combines regional and individual data before intervention assignment, while 'Oi,t' aggregates all observed data at time t.\"}]","Intervention at time t | 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does 'At' represent in this framework?","Question",{"text":76,"@type":77},"'At' represents the binary intervention at time t.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"What are the key individual-level variables mentioned?",{"text":81,"@type":77},"Key individual-level variables include baseline covariates (Xi), total number of visits (Ni,t), visit indicator (∆Ni,t), zero-inflated outcomes (Yi,t,k), and aggregated individualized information (Ii,t).",{"name":83,"@type":74,"acceptedAnswer":84},"What is the purpose of 'Li,t' and 'Oi,t'?",{"text":85,"@type":77},"'Li,t' combines regional and individual data before intervention assignment, while 'Oi,t' aggregates all observed data at time 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