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  • Main Subject - Create A Graph - A Picture Is Worth A Thousand Numbers

    You have data! The problem is to pull meaning out of it. The data has no value if you can't understand it.

    The solution is to visualize that data. One of th
    According to USFDA, a combination product is one composed of any combination of a drug and device; biological product and device; drug and biological product
    e simplest ways to do just that is with graphs. Graphs have a way of letting you see the big picture that is hidden within the mass of numbers.

    Types Of
    ; or drug, device, and biological product and fixed dose combination would include two or more combinations of drug.

    Examples of combination products may in
    raphs

    There are several types of graphs. Each has its strengths and weaknesses. The following list shows the more common graphs with their pros and cons:
    lude drug-coated devices, drugs packaged with delivery devices in medical kits, and drugs and devices packaged separately but intended to be used together.


    Pros Cons

    Line Graphs Great for seeing trends and seasonality in data. Not good with small amounts of data.

    Pie Gr
    here is enormous increase in the number of combination products entering the market in the recent years. Combination products have proven advantages but fixe
    phs Good for showing the percentage of the whole. One trick pony! No other uses.

    Bar Graphs Better with small amounts of data. Not go
    d dose combinations are still in the process of convincing regulatory authority on their advantages over the single ingredient formulations.

    Combination pro
    d with large amounts of data.

    Uses For Graphs

    Graphs have an amazingly wide number of uses. Some of these are listed below:
    1. Show trend over
    ucts have become life saving products for the pharmaceutical companies who doesn’t have many innovative molecules in their product pipeline and have been inc
    time.
  • Illustrates data seasonality.
  • A visual indicator of volatility.
  • A predictor of future results.
  • What portion each p
  • easingly used in the product life cycle management. Even the companies having product patents are trying to extend their product life cycle through the combi
    rt is of the whole.
  • A means of making comparisons between multiple sets of data.
  • Shows when a preset standard is being met.
  • Provid
  • nation products and maximize the revenues. But the companies involved in this practice are overlooking that they are burdening the patients both economically
    s a starting point for regression analysis.
  • Initial analysis for curve fitting.
  • Helps visualize the relationship between two or more variabl
  • and physically. They need to rightly judge the benefits of the combination products and they have to even look at the risks involved when combining the produ
    s.
  • Simplifies reporting.
  • Identifies opportunities.


  • The Language Of Graphs

    Graphs have a set of vocabulary that is neces
    ts. Some of the combination products were well accepted by physicians while others suffered. Companies involved in development of combination products are fi
    ary to know to fully understand their meaning. Most of the terms used come right out of your algebra textbook. If you know algebra, then you probably already
    ding difficulty in defining their combination products and facing various challenges from selecting a combination to marketing it.

    Following aspects would a
    know theses terms. If you don't know algebra then you need to learn these terms and their definitions.

    X - It is common practice to call the horizontal valu
    dd to the challenges in developing combination products:

    Which markets to tap where the combination products can do fairly well?
    Which combination prod
    s x.
    Y - The vertical values are referred to as the y values.
    X-axis - This is the horizontal line which separates the y positive values from the y n
    cts are meaningful and rational?
    Which therapeutic categories to select?
    Which Combinations can address unmet needs of the patients?
    Do combin
    gative values.
    Y-axis - This is the vertical line which separates the x positive values from the x negative values. Slope - This is simply the slant of th
    tions increase the patient compliance?
    What would be the developing cost?
    How to tackle the risks encountered during combination product developmen
    graph. A positive value says the graph is rising. A negative value says the graph is falling.
    Variables - These are the two part values consisting of a
    t?

    As combination products don't fit into the traditional categories of drugs, medical devices, or biological products, the USFDA is in the process of devel
    ependent variable and an independent variable. An example might be a graph of monthly expenses. The x variable is the month and the y variable is the expense.
    ping new procedures for reviewing their safety, efficacy and quality.

    Professional from academic institutions, pharmaceutical industries, health care indust
    A data point might be February for $3000. When March comes along, the value might be $2500.

    How To Create A Graph

    It used to be necessary to have gra
    y and representatives from various regulatory agencies are working out to design the regulatory requirements for manufacture and sale of combination products
    h paper to create a graph. Now we have computers. Spreadsheets, specifically Excel, are often used to create computer graphs. Online resources are available
    .

    As there is an increasing trend of the combination products companies manufacturing such products should be able to tackle the problems involved in the de
    o create your graph and even print it on your own printer. These resources are shown below.

    Summary

    When you create a graph you have made your data vi
    elopment. They need to be wiser in analyzing the market trends and the regulatory requirements.

    Companies that provide selfless information through particip
    ual. When it is visual, it is much more comprehensible to the human mind. You have transformed your data into something that communicates meaning more clearly


    tion in industry events and feedback to regulatory authorities would be able to face the challenges and will be successful in developing combination products

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