https://wiki.evidencio.com/ 2026-04-22T10:44:12+00:00 https://wiki.evidencio.com/ https://wiki.evidencio.com/lib/tpl/bootstrap3/images/favicon.ico text/html 2017-09-07T12:54:15+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.evidencio.com/doku.php?id=calculation&rev=1504788855&do=diff Calculations text/html 2017-09-13T10:52:09+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.evidencio.com/doku.php?id=cox_regression&rev=1505299929&do=diff Cox proportional hazard regression model When creating a model, it is possible to select the cox regression model in the Model tab. The standard cox regression formula looks like this: P(t) = h0EXP(∑Xβ) Where h0 is the baseline hazard, the survival proportion when all covariates are equal to zero ( text/html 2017-09-15T10:12:28+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.evidencio.com/doku.php?id=creating_a_composite_model&rev=1505470348&do=diff Composite model A composite model is a model that calculates multiple outcomes based on a single input. In this way, it is possible to use multiple models at once. This detailed guide demonstrates exactly how to add composite models and how to use them. text/html 2017-11-15T10:28:08+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.evidencio.com/doku.php?id=creating_a_model&rev=1510741688&do=diff Creating a new model Before creating a model on Evidencio, please make sure that you're signed in on Evidencio. Now we can start with a new model. Click on the tab models and then on New Model. A new screen will load and you start with the first step of the model creator. text/html 2017-09-20T09:57:02+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.evidencio.com/doku.php?id=custom_model&rev=1505901422&do=diff Custom Formula The online calculator tool on Evidencio enables the creation of basically any formula as long as there will be a single outcome eventually. Evidencio provides several standard formulas for regression models, such as the logistic regression or the Cox proportional hazard regression models. However, sometimes a published model presents a regression formula with a small modification. In the manual of the text/html 2017-10-08T19:11:42+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.evidencio.com/doku.php?id=find_use_model&rev=1507489902&do=diff Finding models Over 250 public models are available on Evidencio. Signing up with an account on Evidencio may provide you with additional models to find, use, and edit. To find a model you want to use, simply enter some relevant keywords in the searchbar on Evidencio. See the screenshot below illustrating the search for oncology models. text/html 2017-09-15T14:49:22+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.evidencio.com/doku.php?id=linear_model&rev=1505486962&do=diff Linear model The linear model is maybe the easiest standard model on Evidencio. It uses the formula P = β0 + xβ Where β0 is an intercept or baseline. and xβ is the sum of the beta coefficients multiplied by their input. Linear models can be often used for the implementation of online risk scores or clinical prediction rules. If certain (risk) criteria are present in the patient, they get points assigned. Eventual amount of points corresponds with a riskprobability or a threshold is set wher… text/html 2017-09-18T13:54:07+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.evidencio.com/doku.php?id=logistic_regression&rev=1505742847&do=diff Logistic regression model This page shows the addition of a logistic regression formula on Evidencio. The standard formula for a logistic regression is: β0 is the intercept and Xβ is the model linear predictor. Estimated by the summation of the intercept term and all β values multiplied by that variable. E.g.: β text/html 2017-09-20T11:22:34+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.evidencio.com/doku.php?id=r_script_based_model&rev=1505906554&do=diff Rscript model R is an open source statistical programming software and can be used with the use ofRstudio. It is possible to copy Rscripts directly into Evidencio and calculate predictions. As long as the script returns a single outcome, the model will work. text/html 2023-08-08T11:21:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.evidencio.com/doku.php?id=signing_up&rev=1691493686&do=diff Signing up To become a part of the Evidencio community, click “Sign up” on the homescreen, or simply go directly to the registration page. Please fill out all the fields and accept the Evidencio terms & conditions. You'll be asked to verify your e-mail address by clicking on a link in an e-mail we'll send you. After this verification step is completed you can log in on Evidencio and start working creating some models, selecting favorites and commenting on existing models. A personal Evidencio a… text/html 2017-10-09T08:58:24+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.evidencio.com/doku.php?id=start&rev=1507539504&do=diff Evidencio At Evidencio, we strongly believe that prediction models can complement human clinical decision-making and assist healthcare professionals in making patient-tailored evidence-based decisions. It is our mission to support the transition of these clinical prediction models from research into everyday medical practice. text/html 2017-09-14T09:05:36+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.evidencio.com/doku.php?id=survival_regression&rev=1505379936&do=diff Survival regression Formula of the survival regression is: Where γ is the scaling parameter. And Xβ is the model linear predictor, estimated by the summation of all the β values multiplied by that variable. E.g. βvar1 ⋅ var1 + βvar2 ⋅ var2 + β text/html 2017-10-06T09:57:45+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.evidencio.com/doku.php?id=validating_a_model&rev=1507283865&do=diff Model Validation It is easy to validate existing models on Evidencio. Everyting you need is a database containing more than 20 patients and the model you want to validate needs to work properly on Evidencio. There are multiple paths to create a new validation: