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I got confused a couple of times when using PDFfiller, but their customer support was outstanding; they immediately responded and were very helpful.
PDFfiller is a solid solution for filling out yearly tax paperwork on my Mac. I'll be using it every year now.
2015-01-20
I wanted to improve the efficiency of filling out repetitive information on business documents and improve the readability of the documents... Mission Accomplished!
2016-07-10
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It is easy and available for access anywhere you access a computer. You do not have to have one.
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All my PDF applications are done through the platform. Fast, available always, and you can do it on any computer or mobile device.
This is available everywhere where you go. You do not have to take your computer or have a software installed on your laptop. You can access it from anywhere else. In addition, it is very user friendly to navigate through the platform to accomplish what you would like to do.
What do you dislike?
I just don't have any dislike. So there is not much to say for this area.
Recommendations to others considering the product:
It is easy and available for access anywhere you access a computer. You do not have to have one.
What problems are you solving with the product? What benefits have you realized?
All my PDF applications are done through the platform. Fast, available always, and you can do it on any computer or mobile device.
2019-01-02
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Pricing is very good. Free trial helped a lot to discover vital features. After trial I have decided to purchase a subscription. Esign, editing, and organizing are working perfectly
2019-05-24
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2021-10-12
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2021-05-25
I ordered the yearly subscription…
I ordered the yearly subscription instead of monthly and was easily able to fix this via the chat box on their website! Great customer service!
2021-03-30
I love the product just don't have the need to justify a full subscription. I enjoyed the trial period and had great Customer Service when needed. Very prompt with replies. I would recommend this product.
2020-10-02
Love how easy it is to navigate and how I can auto...
Love how easy it is to navigate and how I can auto fill any areas that I need to write in again. It's very practical and I will be recommending it to anyone, especially because i can access legal documents so easily!
2020-06-07
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What is a log rank p value?
The value of the test statistic is therefore calculated as follows: This gives a P value of 0.032, which indicates a significant difference between the population survival curves. An assumption for the log rank test is that of proportional hazards.
What is survival analysis statistics?
Survival analysis is a branch of statistics for analyzing the expected duration of time until one or more events happen, such as death in biological organisms and failure in mechanical systems. Even in biological problems, some events (for example, heart attack or other organ failure) may have the same ambiguity.
What is survival analysis used for?
Survival Analysis is used to estimate the lifespan of a particular population under study. It is also called 'Time to Event' Analysis as the goal is to estimate the time for an individual or a group of individuals to experience an event of interest. This time estimate is the duration between birth and death events[1].
How do you analyze survival data?
To describe the survival times of members of a group. Life tables. Kaplan-Meier curves. To compare the survival times of two or more groups. Log-rank test. To describe the effect of categorical or quantitative variables on survival. Cox proportional hazards regression.
What is hazard function in survival analysis?
The hazard function (also called the force of mortality, instantaneous failure rate, instantaneous death rate, or age-specific failure rate) is a way to model data distribution in survival analysis. The most common use of the function is to model a participant's chance of death as a function of their age.
What is a survival plot?
We use the term survival plot to represent a group of plots that are constructed on time to event data. The most common survival plot is the Kaplan-Meier Curve. Others survival plots are the hazard function and hazard rate plots.
Is Regression a survival analysis?
As in the conventional linear regression models, survival regression models allow for the quantification of the effect on survival of a set of predictors, the interaction of two predictors, or the effect of a new predictor above and beyond other covariance.
How do you calculate survival analysis?
The Kaplan-Meier estimate is the simplest way of computing the survival over time in spite of all these difficulties associated with subjects or situations. For each time interval, survival probability is calculated as the number of subjects surviving divided by the number of patients at risk.
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