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        <source>Minimisation detail</source>
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        <source>Are you sure you want to delete &quot;%s&quot;?</source>
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        <source>&lt;!DOCTYPE HTML PUBLIC &quot;-//W3C//DTD HTML 4.0//EN&quot; &quot;http://www.w3.org/TR/REC-html40/strict.dtd&quot;&gt;
&lt;html&gt;&lt;head&gt;&lt;meta name=&quot;qrichtext&quot; content=&quot;1&quot; /&gt;&lt;style type=&quot;text/css&quot;&gt;
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&lt;p align=&quot;center&quot; style=&quot; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;&quot;&gt;&lt;span style=&quot; font-size:20pt; font-weight:600;&quot;&gt;How to do minimisation using MinimPy2?&lt;/span&gt;&lt;/p&gt;
&lt;p align=&quot;center&quot; style=&quot; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;&quot;&gt;&lt;span style=&quot; font-size:14pt; font-weight:600;&quot;&gt;A quick tutorial&lt;/span&gt;&lt;/p&gt;
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&lt;p style=&quot; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;&quot;&gt;1 - Go to Trials tab and select a trial as current to work on it. Define a new trial if there is no trial&lt;/p&gt;
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&lt;p style=&quot; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;&quot;&gt;2 - Go to Setting tab to view / edit trial setting. Usually the default setting is good to go&lt;/p&gt;
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&lt;p style=&quot; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;&quot;&gt;3 - Go to Treatments tab to define at lease two treatments&lt;/p&gt;
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&lt;p style=&quot; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;&quot;&gt;4 - Go to Factors tab to define at lease one factor&lt;/p&gt;
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&lt;p style=&quot; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;&quot;&gt;5 - Define at least two levels for each factor&lt;/p&gt;
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&lt;p style=&quot; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;&quot;&gt;6 - Now the trial is ready for subject enrollment&lt;/p&gt;
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&lt;p style=&quot; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;&quot;&gt;7 - Go to subject tab and click on the Add button in the toolbar&lt;/p&gt;
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&lt;p style=&quot; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;&quot;&gt;8 - The enroll window will appear. Select a level for each factor and click enroll&lt;/p&gt;
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&lt;p style=&quot; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;&quot;&gt;9 - Subject will enroll to one of treatment groups by the minimisation algorhythm&lt;/p&gt;
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&lt;p style=&quot; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;&quot;&gt;10 - If you want to define a preload go to Frequencies tab&lt;/p&gt;&lt;/body&gt;&lt;/html&gt;</source>
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        <source>Are you sure you want to edit subject at row &quot;{}&quot; ?

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        <source>Naive</source>
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        <source>Base probability</source>
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        <source>0.70</source>
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        <source>Marginal balance</source>
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        <source>Range</source>
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        <source>Identifier type</source>
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        <source>Alpha</source>
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        <source>Sequential</source>
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        <source>Arms weight</source>
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        <source>1.0</source>
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        <source>Treatments</source>
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        <source>Factors</source>
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        <source>Frequencies</source>
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        <source>Preload</source>
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        <source>I know what I&apos;m doing</source>
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        <source>Exit</source>
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        <source>manage factor levels</source>
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        <source>Each trial has a uniqe tile and also a code usually in the form of an abreviation of the title.
Last column show if the trial is the active one. Only one trial can be active at any time. Other pages of the application relate to this active trial. To make a treial active check the box in last column.
Click and then type over the trial title or code to edit it</source>
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        <source>Code of the trial usually title abbreviation
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        <source>The method used for calculating of the assignment probabilities. There are two choices. Biased coin minimization which include the effect of allocation ratios into the computation, and naive method which do not include the effect of allocation ratios. Biased coin is the preffered method. These options only is meaningfull when we have treatments with unequal allocation ratios. Biased Coin method is based on the different probabilities of assignment for subjects to trial groups. The subject is allocated to the preferred treatment with a higher probability and to other groups with lower probabilities. Therefore if treatments with higher allocations ratios are assigned more probabilities this will be considered as biased-coin minimization. In this method a base probability is used for the group with the lowest allocation ratio when that group is selected as the preferred treatment. Probabilities for other groups (PHi) when they selected as preferred treatments are calculated as a function of base probability and their allocation ratios. In Naive method the subject is allocated to the preferred treatment with a higher probability and to other groups with lower probabilities. Here the probabilities are not affected by allocation ratios and usually the same high probability are used for all treatment groups when they are selected as preferred treatments (base probability). This is denoted by Naive Minimization. In this method, probabilities for non-preferred treatments are distributed equally.
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        <source>The probability given to the treatment with the lowest allocation ratio in biased-coin minimization. In naive minimization it is the probability used for all treatment groups when they are selected as preferred treatments. Use the spin button to specify the value.
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        <source>Distance measure is used to calculate the imbalance score. There are four options here. Marginal balance computes the cumulative difference between every possible pairs of level counts. This is the default and the one which is recommended. It tends to minimize more accurately when treatment groups are not equal in size. For each factor level marginal balance is calculated as a function of adjusted number of patients present in a factor level for each treatment group. Range calculates the difference between the maximum and the mimimum values in level counts. Standard deviation calculates the standard deviation of level counts and variance calculate their variances. All of these measures uses adjusted level counts. Adjustment performs relative to the values of allocation ratios.
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        <source>Type of subject identifier. It can be Numeric, Alpha or Alphanumeric.\nOnce a subject is enrolled, you can not change identifier type
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        <source>The order of identifier sequence. It can be Sequential or Random.
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        <source>Length  of subjects identifier in character. The longer the length the higher  will be the possible sample size
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        <source>Check to reuse IDs of a deleted subject. The default is to discard
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        <source>If unchecked (the default), enrol form will show with the level for each factor unselected. If checked, for each factor a random level will be selected. This is only for test purpose to rapidly and randomly enrol a subject
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        <source> This is equalizing factor for arms of trial. The higher the arms weight the higher will be the possibility of having equal group sizes at the end of study
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        <source>For each treatment a name (unique for the trial) and an integer value for allocation ratio are needed. Allocation ratios are integer numeric values which denote the ratios of the treatment counts. For example if we have three groups a, b and c with their allocation ratios 1, 2 and 3 respectively, this mean that in the final sample nearly 1/6 of subjects will be from treatment a, 1/3 from b and 1/2 from c
You have to define at lease two groups to use minimisation on them.
Click on treatment title and type over it to edit the title of the treatment, and use the spin control to change the allocation ratios</source>
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        <source>Factors or prognostic factors, are the subject factors which are selected to match subjects based on them. At lease one factor is mandatory for minimisation. Each factor has a name (unique for the trial) and a weight. Weight indicates the relative importance of the factor for minimization. For each factor you must define at least two levels. As an example factor may be gender and its levels may be Male and Female.
Factor title can be edited by clicking and typing over the title of the factor

Click on the levels button on tool bar or double click on levels in table to manage (add, edit, delete) levels of the selected factor</source>
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        <source>Manage (add, edit, delete) levels of the selected factor</source>
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        <source>This table shows frequencies of subjects enrolled in the trial or entered via preload table depending on the active checkboxes. When you have already enrolled a number of subjects (using other tools or software) and you want to continue with this minimisation program for the remaining cases, you can enter data of already enrolled subject as counts. You enter counts of different treatments accross all levels of each subject into the preload table. Then the counts from this table will be added to counts of enrolled subject by this application and total counts will be used in minimisation model.
It is as if you have entered the list of subject into your existing list. The effect is exactly the same. When defining preload please note that sum of subjects across different levels of a factor must be equal to thats of other factors, otherwise an error will be generated.
If you have a greal number of subjects and have no need to keep their list, you may convert them into preload table. Select frequencies check box and unselect preload checkbox, then click &apos;convert to preload&apos; to clear all subjects and add them to preload table.</source>
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        <source>Subjects enrolled in the trial will be listed in subjects table. Each row belongs to one subject and shows subject ID, treatment, levels of factors, dates of enrollment and modification (if any). Subject can be added, edited or deleted from this table, although editing or deleting subject may compromise the minimisation model and therefore are not recommended.To enter a new subject, click plus sign in the tool bar. To edit double click and to delete click on Delete button on toolbar.\n
A progressbar above the subject table show the enrollment progress as the number of subject enrolled compared to the remaining counts of identifiers</source>
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        <source>In this table you can see four different scale related to overall trial balance (marginal balance, range, variance, SD) and randomness. Also the balances for each factor or for each level within each factor are displayed. The last two rows of the table show the mean and max values for each scale. The lower the numeric values of these balance, the more balance we have in our trial. Also a scale of randomness for enrolling subjects is calculated based on run test.</source>
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