Georgetown University
Decision Analysis in Healthcare

 

 

Course Evaluations


Course evaluations are available through George Mason University service.  These evaluations can be read from on-campus computers only.  If you are not on campus, please write to us and we will email copies of the evaluations.     Here is the evaluation of the course in Spring 2004.  Here is the evaluation of the course in Spring 2006

To evaluate a lecture, click here.  To evaluate the course, click here

Average Course Rating over Time

Following are student evaluations of the course over time.  Students rated various lectures on a scale from 1 to 5, where 5 was best and 1 was worst possible levels.  The average ratings and the standard deviation of the ratings are provided in the Table. 

Year Count
of Ratings
Average
Rating
Standard
Deviation
of Ratings
Spring  2009 8 3.25 1.16
Summer  2008 16 4.12 0.62
Spring  2008 80 4.08 0.78
Summer  2006 14 4.07 0.83
Spring  2006 82 4.38 0.66
Summer  2005 15 3.33 0.82
Spring  2005 87 4.32 0.71
Spring  2004 93 4.46 0.68

Ratings of Various Lectures

Following are current evaluations of each of the sections in the course with more than 5 responses:

Lecture Average
Rating
Number
of Ratings

BenchmarkingClinicians

4.38

21

ConflictAnalysis

4.48

27

CostEffectiveness

4.08

24

DecisionTrees

4.26

35

Field Project

4

1

GroupUtilities

5

1

IntroductiontoDecisionAnalysis

4.16

51

MeasuringUncertainty

3.89

45

ModelingUncertainty

4.28

57

Other

4.5

2

Preferences

4.17

53

ProbabilityRareEvents

3

1

ProgramEvaluation

4

1

RapidPolicyAnalysis

4.57

7

RiskAnalysis

4.31

13

RootCause

4.47

58

 

How we could improve?

Following are comments left by students regarding how each section could be improved.  Most recent comments are listed first. 

Session Comment

BenchmarkingClinicians

I thught this was a good lecture very easy to follow. However, the tree assigned in the What Do You Know is much more complex than the example given in the text. I think a video or example of such a complex tree would have been useful  This comments was left on 4/15/2009 4:46:15 PM.

RootCause

This lecture seemed easy to follow. I think I grasped the concepts by completing the homework. I would still like to get some feedback on my answers. I guess I won't know if I fully understood the lecture until I start working on the biweekly project.  This comments was left on 4/10/2009 2:06:18 PM.

RootCause

I was trying out Netica and when I click on the tab to create a node (the yellow circle), what appears is a compile square not the node that ts needed. How do I fix this?  This comments was left on 4/6/2009 2:35:08 PM.

RootCause

I thought this was a reaaly easy to follow lecture compared to others. It was very straight forward and the demo on the software was easy to understand.  This comments was left on 4/6/2009 2:29:28 PM.

CostEffectiveness

I thought the video on how to preform excel were very helpful. However the video on sensitivity analysis was a bit confusing. Also having a bigger view of the videos would be more helpful. Some are cut off and was unable to see everything that was going on. This was a very difficult for me. The Waht Do You Know was hard to understand and again felt the videos were helpful but I got lost in translation after the 4th problem.  This comments was left on 3/29/2009 7:26:05 PM.

ModelingUncertainty

I am not going to tiptoe here. I am going to have at this as candidly as possible. So far, the material is not understandable. It is presented confusingly. The preparer does not have the clearest understanding of what a sentence boundary is- when referring to a subsequent reference to an item within and outside of a sentence. Also, the writing completely failed in linking references in distance from last mentioned (when an item is mentioned several sentences back in a sentence). The discourse structure is also disregarded often. I strongly suggest the writer of these material should look in to literatures such as, “Taking Time to Structure Discourse: Pronoun Generation Beyond Accessibility” by McCoy and Strube. Although the subject mater is interesting, it seems the school did not think through the easiest possible way of delivering materials to students/readers – at least in this subject.   This comments was left on 3/26/2009 4:46:37 PM.

ModelingUncertainty

This lecture was okay. Easier to understand than the probability lecture. After reading over the lecture a few times it became more clear.  This comments was left on 2/23/2009 8:14:29 AM.

MeasuringUncertainty

It was a little difficult for me to follow the lectures. It starts simple but gets confusing when discussing probability. I think more expamples would of been helpful. Reading the chapter while listening to the lecture helped a little but still left me a little confused.   This comments was left on 2/10/2009 9:26:27 AM.

CostEffectiveness

The What Do You Know was very difficult for me. If possible, I would like a camastia example that mirrors or more closely mirrors the question we are being asked. Although the circumstances could be changed for our WDYK question to show we know how to apply the concept.   This comments was left on 8/4/2008 11:53:29 AM.

RootCause

Really liked this lecture. The lecture was straight forward and eaisier to understand than some of the others. I would maybe move this lecture earlier in the semester before modeling/measuring uncertainty.   This comments was left on 8/2/2008 2:02:23 PM.

CostEffectiveness

I would have really liked to see more than one example of sensitivity analysis in Camtasia.   This comments was left on 7/28/2008 10:32:24 AM.

DecisionTrees

Really liked the lecture and topic. It all seemed clear but sensitivity analysis is still a little confusing.   This comments was left on 7/28/2008 8:34:53 AM.

MeasuringUncertainty

Liked the lecture. Although, it went from simple to difficult concepts very quickly I thought. I guess it is hard to fit it all in for this tough section.  This comments was left on 7/28/2008 8:29:40 AM.

ModelingUncertainty

Good lecture. I had a real problem with the bi-wkly project; in how to pull together the information for the liklihoods for calculation. After meeting with the professor, it was nearly immediately apparent what to do. I would have benefited from a Camastia video of a example set-up.   This comments was left on 7/28/2008 8:26:21 AM.

IntroductiontoDecisionAnalysis

The lecture was good, not sure how to make it better.   This comments was left on 7/28/2008 8:21:52 AM.

BenchmarkingClinicians

I enjoyed this lecture & can't say I'd like for anything to change.  This comments was left on 7/25/2008 7:39:14 PM.

RootCause

It's great that the lecture promotes going beyond the obvious to identify what is the true cause of an event or the relationship of the cause to the event itself. The online lecture could have discussed root cause analysis in greater detail or with additional examples. The use of Netica should be a separate lecture.  This comments was left on 7/11/2008 12:35:41 AM.

Other

Reviewed the lecture Cost Effectiveness of Clinics. It reinforced the concept of decision trees and sensitivity analysis. The online lecture should have the option of being divided into 2 parts.  This comments was left on 7/10/2008 11:15:06 PM.

DecisionTrees

The online lecture really enhanced the concept of decision trees and how the expected costs are calculated by providing a systematic approach to the topic.   This comments was left on 7/10/2008 1:16:27 AM.

DecisionTrees

I can actually see how decision trees could be applied to my job. I enjoyed learning how to use them.  This comments was left on 7/6/2008 9:34:28 PM.

MeasuringUncertainty

I thought this lecture was easy to follow, I liked the real world examples.  This comments was left on 7/6/2008 9:32:42 PM.

ModelingUncertainty

This session helped to reinforce the concepts in the previous session (which I had some difficulty in understanding). There were a lot of topics discussed in session 4 - perhaps the topics can be evenly be distributed among session 5?  This comments was left on 6/14/2008 2:57:03 PM.

MeasuringUncertainty

I had a hard time parsing out the information regarding the likelihood ratios. Perhaps more examples would have assisted in understanding this part better.  This comments was left on 6/11/2008 6:43:55 PM.

Preferences

The lecture was extremely long! It would have been better to logically break it into 2 lectures.  This comments was left on 6/1/2008 10:56:40 PM.

IntroductiontoDecisionAnalysis

The explaination of the prototypes & the listed steps in decision analysis were helpful as it appropriately frames the topic. It would be helpful in discussing why decision makers do not use a model or at least it appears they make a decision based on their own values or for political reasons.   This comments was left on 5/29/2008 12:13:29 AM.

IntroductiontoDecisionAnalysis

I liked how the lecture mostly followed the online reading. A pause button would be great addition.   This comments was left on 5/22/2008 9:34:44 PM.

IntroductiontoDecisionAnalysis

I liked the real-world example analysis of National Health Insurance. It helped me understad the concepts of objective data and subjective data and how they can be manipulated to speed up analysis.  This comments was left on 5/22/2008 8:59:48 PM.

DecisionTrees

I was a bit nervous about decision trees. This lecture wasn't too bad in explaining how to go about it. But I think what really helped was the in class lecture. We went in debth about it and saw many examples of how to construct a decision tree.   This comments was left on 5/12/2008 12:16:41 AM.

ModelingUncertainty

Again this was done nicely. It was a continuation from where the previous lecture was left off. The lectur outlined step by step as to how to construct the model.  This comments was left on 5/12/2008 12:14:59 AM.

MeasuringUncertainty

I thought this lecture was broken down very nicly. It started very basic and went on from there just step by step. When it got to the Bayes Formula, it was not that difficult to understand. It wasn nicly done.  This comments was left on 5/12/2008 12:11:33 AM.

BenchmarkingClinicians

The lecture was very easy to follow and was also very helpful to turn back to for the bi - weekly project.  This comments was left on 5/4/2008 11:07:43 PM.

RootCause

The examples were very helpfu. I would suggest updating the Netic examples since the program that we are now using is a little different from the one used in the example.  This comments was left on 5/4/2008 11:05:38 PM.

BenchmarkingClinicians

Good lecture.  This comments was left on 5/1/2008 4:49:37 PM.

RootCause

Not all the links work correctly, more examples.  This comments was left on 5/1/2008 4:48:21 PM.

DecisionTrees

This was difficult to follow from an online student perspective  This comments was left on 5/1/2008 4:47:53 PM.

ModelingUncertainty

Well organized lecture.  This comments was left on 5/1/2008 4:47:31 PM.

ProbabilityRareEvents

Again, I think more examples would be helpful  This comments was left on 5/1/2008 4:47:11 PM.

Preferences

Okay,more examples would be helpful  This comments was left on 5/1/2008 4:46:44 PM.

IntroductiontoDecisionAnalysis

Good lecture.  This comments was left on 5/1/2008 4:45:57 PM.

BenchmarkingClinicians

I really liked how in depth the lecture was and explained how to benchmark in detail.  This comments was left on 4/29/2008 2:44:30 PM.

BenchmarkingClinicians

I thought this lecture was excellent. It was extremely easy to understand and the topic was explained thoroughly. This lecture provides useful information that can be used in practice. I think that this will become an important tool in determining Medicare payments to physicians in the future, especially as innovative strategies are being considered to reform the current payment system.  This comments was left on 4/27/2008 8:43:15 PM.

BenchmarkingClinicians

I thought the lecture was very clear and gave great points on how to present benchmarking data to physicians. To improve the lecture, the instructor could explain how to develop an event tree using severity data. I was aware of how to break it out for my project but it was not well explained in the lecture.  This comments was left on 4/27/2008 8:18:55 PM.

BenchmarkingClinicians

Everything worked well. The lecture was clear and concise.  This comments was left on 4/27/2008 1:06:17 AM.

RootCause

I found the examples very easy to follow.  This comments was left on 4/21/2008 7:31:46 PM.

RootCause

I found the examples very easy to follow.  This comments was left on 4/21/2008 7:31:27 PM.

RootCause

I found the examples very easy to follow.  This comments was left on 4/21/2008 7:31:17 PM.

RootCause

This was a very straightforward lecture. I enjoyed it.  This comments was left on 4/14/2008 8:52:51 PM.

RootCause

everything worked well  This comments was left on 4/14/2008 8:46:38 PM.

RootCause

In the online survey, are we supposed to see the results of the information we provide? All I see is this as a response: Database Results Wizard Error The operation failed. If this continues, please contact your server administrator.  This comments was left on 4/13/2008 11:43:31 PM.

RootCause

This lecture was easy to understand and provided us with lots of examples. The video was difficult to understand at times, because the slide changed and the narrative was cut of before the statement was finished.  This comments was left on 4/13/2008 9:26:55 PM.

CostEffectiveness

Lecture difficult to watch, because cannot be watched on apple computers. Also, very confusing to me. Not sure if I fully understand sensitivity analysis.  This comments was left on 4/12/2008 9:54:40 PM.

RootCause

I really enjoyed this lecture and found it very useful. Although I have little experience in actually conducting a root cause analysis, I do know of people in my workplace that have engaged in such analysis and discussion. I thought the lecture was easy to follow and well organized. Being able to check the accuracy of root-cause analysis is extremely important and I believe that many health care administrators would greatly benefit from having learned the content in this chapter, especially since there is no formal methods for checking accuracy widely available.  This comments was left on 4/12/2008 7:19:50 PM.

DecisionTrees

I thought the lecture was easy to follow and understandable. Decision trees seem like a very practical application in the workplace and I thought about potential decisions to be made in my workplace that could benefit from a decision tree analysis. However, the sensitivity analysis section was a bit confusing. It seems as if you randomly change the numbers to see how the final outcome is changed. It did not seem obvious if there was a systematic way of choosing which numbers to change and by how much.  This comments was left on 4/11/2008 4:55:11 PM.

RootCause

this was very easy to understand since I have done root cause ananlysis in the past.  This comments was left on 4/10/2008 9:27:18 PM.

DecisionTrees

It would have been helpful to provide an example with this chapter that is not associated with decisions based upon costs. The third bi-weekly project, which I chose, is quite different and completing the analysis was quite a challenge as a result.  This comments was left on 4/7/2008 9:01:35 PM.

CostEffectiveness

everything worked well.  This comments was left on 4/6/2008 4:30:51 PM.

DecisionTrees

I thought the lecture was straightforward and provided excellent examples. However, I am still confused a little regarding the sensitivity analysis. I think a little more detail regarding the analysis would improve the lecture.  This comments was left on 4/6/2008 4:00:08 PM.

GroupUtilities

I thought that the lecture was very interesting and it reminded me of a class that I had prior to this one. It really shows how to work in groups and so on.  This comments was left on 4/5/2008 12:08:00 PM.

DecisionTrees

I thought that this lecture was very easy to follow and to understand. The examples were also very helpful as well.  This comments was left on 4/5/2008 12:05:11 PM.

ModelingUncertainty

I think that all the examples worked really well to help with the Bi-Weekly project.  This comments was left on 4/5/2008 11:53:11 AM.

CostEffectiveness

Clear!  This comments was left on 4/1/2008 11:36:11 PM.

CostEffectiveness

The figures in the lecture and in the hard copy were very helpful and useful when following the lecture. I found the example helpful as well.  This comments was left on 3/31/2008 7:57:28 PM.

DecisionTrees

I found this lecture confusing at first, and found it necessary to listen/reread the lecture a couple times for complete understanding of the lecture. Also, it would be nice to have another example of decision tree analysis instead of just the example using the PPO/bank. It may help with clarification.  This comments was left on 3/25/2008 11:15:06 PM.

DecisionTrees

I thought this was one of the clearest lectures yet with a very easy examples to follow.  This comments was left on 3/24/2008 8:08:32 PM.

CostEffectiveness

I really enjoyed this lecture and am glad I can use this method at work.  This comments was left on 3/24/2008 8:01:36 PM.

DecisionTrees

everything worked well. One suggestion would be to maybe have a scenario for the studnet to read and then have a hands on section where the student can create a decision tree based on that scenario using their mouse. as the tree is being composed there should be a way to let the student know if they are creating the tree correctly. For example, when starting with the decision there should be a multiple choice question asking what the decision is such as buying a car. The student selects buying a car as the decision, if the decision is right the program will go on to the next question, however, if the answer is wrong the program will inform the student and have them try again. I hope that makes sense what i'm trying to say. This way the student who is taking the course online can get a feel for how to construct a decision tree where as those students in class do it in class with the intstructor, but this could also be good practice for all.  This comments was left on 3/24/2008 7:53:35 PM.

ModelingUncertainty

I really enjoyed the lecture for this topic as it answered a few of the questions I had and it was clear and concise and very easy to understand.  This comments was left on 3/24/2008 7:13:41 PM.

DecisionTrees

everything worked well  This comments was left on 3/24/2008 12:28:58 PM.

ModelingUncertainty

I think this was one of the strongest lectures so far. It built on the information in the preceding chapter very well.  This comments was left on 3/19/2008 11:17:16 AM.

ModelingUncertainty

very easy to understand and very thorough.  This comments was left on 3/18/2008 5:59:05 PM.

ModelingUncertainty

This lecture was very straight and to the point which made it easier to comprehend the concepts  This comments was left on 3/4/2008 1:56:48 PM.

ModelingUncertainty

This lecture was very straight and to the point which made it easier to comprehend the concepts  This comments was left on 3/4/2008 1:56:36 PM.

ModelingUncertainty

The lecture was very clear and built on prior lectures, however, I am still not clear on how to develop legitimate scenarios that will truly represent random scenarios. It would be nice if the development of a scenario where described from start to finish. It seems cumbersome and biased.   This comments was left on 3/3/2008 8:13:20 PM.

ModelingUncertainty

The instructor can improve the lecture portion by making the sound more clear. there was too much static and also some of the slides move too fast and the narration for that one slide has not completed.   This comments was left on 3/3/2008 7:02:21 PM.

ModelingUncertainty

The chapter makes the information presented in chapter 3: Measuring Uncertainty, much more valuable and understandable. It provides actual application of the mathematical equations presented in chapter 3. Well organized and easy to read and follow.  This comments was left on 3/3/2008 3:45:58 PM.

ModelingUncertainty

everything worked well  This comments was left on 3/2/2008 11:45:57 PM.

MeasuringUncertainty

This lecture was a little difficult to understand. It might be helpful if more examples were given.   This comments was left on 2/26/2008 9:19:49 PM.

MeasuringUncertainty

The written portion of this lesson was a clear and concise lesson in probability. However, I found that the narrated slides were a little harder to follow for this lesson than in previous sections.  This comments was left on 2/26/2008 4:24:02 PM.

MeasuringUncertainty

I think this was a difficult lesson to absorb but then I have always had a math aversion. I am taking my time with the What Do You Know portion to be sure I fully understand  This comments was left on 2/26/2008 11:57:55 AM.

MeasuringUncertainty

Everything worked well; I like that this lecture was live and more interactive.  This comments was left on 2/26/2008 10:04:54 AM.

MeasuringUncertainty

I thought that the lecture was organized nicely. However, the topic was complicated and I would have liked more "real world" examples to help my understanding.  This comments was left on 2/25/2008 9:46:55 PM.

MeasuringUncertainty

I liked how each step was described in detail.  This comments was left on 2/25/2008 6:12:02 PM.

Preferences

Everything was well done.  This comments was left on 2/24/2008 12:56:17 PM.

MeasuringUncertainty

I thought the questions in the "What do You Know" exercise were helpful in working through each step of the process, however, the lecture and examples on prior odds was not as clear as it could have been. I was also a little confused on the use of the table describing mariginal and joint probabilities.  This comments was left on 2/23/2008 7:47:10 PM.

Preferences

This lecture is interesting, but long and complex. It might be helpful to post the lecture audio in pieces rather than one giant file. I was unable to pause the SWF file as I was viewing it on my Mac, which made it hard to take notes.  This comments was left on 2/17/2008 6:34:08 PM.

Preferences

Overall the lecture was okay. However I would suggest providing consistency. I found myself having to go back and forth to understand certain concepts.  This comments was left on 2/12/2008 4:12:16 PM.

Preferences

Mathematical models and when to use them could be better explained.  This comments was left on 2/11/2008 11:48:21 PM.

Preferences

Mathematical models and when to use them could be better explained.  This comments was left on 2/11/2008 11:43:02 PM.

Preferences

I thought the reading was very interesting. The steps were broken down easily. However the "what do you know section", the questions could be worded differnetly.  This comments was left on 2/11/2008 11:04:04 PM.

Preferences

I thought the reading was very interesting. The steps were broken down easily. However the "what do you know section", the questions could be worded differnetly.  This comments was left on 2/11/2008 11:03:50 PM.

IntroductiontoDecisionAnalysis

I thought this lecture was very thorough and informative  This comments was left on 2/11/2008 1:18:22 PM.

Preferences

I got a little lost with the formulas. Perhaps more examples could have alleviated my confusion (esp regarding the additive model).  This comments was left on 2/10/2008 8:35:17 PM.

IntroductiontoDecisionAnalysis

This lecture had a great flow and did a great job of convincing its viewer of the efficacy of decision analysis (perfect amt. of background). By way of improvement, I would have liked to see more examples that were less clinical oriented and more health policy oriented.   This comments was left on 2/10/2008 8:28:19 PM.

Preferences

The lecture was very interesting and I am eager to apply this model to my own decision making at work. It was a little difficult to follow the aggregation rule and the formula for the additive model at first, however the examples that were provided were helpful. My questions is this: How do the mathematical models hold up against the more subjective process of the human brain when making daily decisions? Is the additive model and the midvalue splitting technique significantly more accurate?  This comments was left on 2/10/2008 8:06:28 PM.

Preferences

The lecture was very interesting  This comments was left on 2/10/2008 8:05:25 PM.

IntroductiontoDecisionAnalysis

More examples in this lecture would have been helpful.  This comments was left on 2/10/2008 4:23:24 PM.

IntroductiontoDecisionAnalysis

I liked how the lecture was clear and concise and how the page is made so that it is easy to navigate and find what one is looking for.  This comments was left on 2/10/2008 3:22:38 PM.

Preferences

everything worked well I liked the use of conversations between expert and analyst  This comments was left on 2/10/2008 3:22:13 PM.

IntroductiontoDecisionAnalysis

Good intro to the subject. I thought that the decision analysis process and the purpose itself were clearly defined.  This comments was left on 2/9/2008 12:32:03 AM.

Preferences

The readings and the narrated powerpoint lecture complemented each other nicely. It was a lot of information and difficult to grasp easily, but many different examples were provided that helped my understanding of the subject matter greatly. I think after completing the first project I will have an even better understanding, as I would have actually used the techniques to model preferences and not just read about them.  This comments was left on 2/9/2008 12:25:49 AM.

IntroductiontoDecisionAnalysis

I think that the examples helped to understand the material better. I would be nice if the lecture followed the text a little better. I was trying to read along but it sometimes moved to a different area.  This comments was left on 2/8/2008 10:36:26 AM.

Preferences

The section that discussed the collection of attributes was very helpful. In addition, the take home message for the lecture helped provide me with the sort of direction I should take on the bi-weekly project.  This comments was left on 2/6/2008 11:07:27 AM.

IntroductiontoDecisionAnalysis

The lecture was well organized and easy to follow. The only question I have is how are the probabilities and values or relative desirabilities of an outcome determined? It was not that clear to me.  This comments was left on 2/5/2008 8:18:59 PM.

IntroductiontoDecisionAnalysis

The lecture was easy to follow, however at times it was difficult to hear/understand. There is no rewind or fast forward option so the only way to replay that part was to replay the entire lecture.   This comments was left on 2/5/2008 12:53:52 PM.

ProgramEvaluation

I like the focus on decision analytic evaluations but would have liked to also see other approaches  This comments was left on 9/13/2007 9:26:59 AM.

Other

it is aleady best  This comments was left on 9/3/2007 2:14:48 AM.

IntroductiontoDecisionAnalysis

I liked that you could read the lecture while listening. The ability to pause and replay is also helpful  This comments was left on 8/26/2007 10:18:49 AM.

DecisionTrees

Interesting concept and ideas  This comments was left on 10/22/2006 10:46:39 PM.

Field Project

Glad to see that there is no exam.   This comments was left on 10/6/2006 12:25:02 PM.

BenchmarkingClinicians

This was pretty straight forward, but I think a good interpretation of results of the calculations needs to be done. A paragraph or two needs to be added to better explain what the numbers mean.   This comments was left on 10/4/2006 12:30:55 AM.

RootCause

Good lecture, good examples. Easy to grasp.  This comments was left on 8/3/2006 5:24:33 PM.

BenchmarkingClinicians

Good lecture - the real world examples of comparing the clinicial to peer providers was helpful.  This comments was left on 8/3/2006 5:21:40 PM.

DecisionTrees

The step by step approach to exlpaining how to construct a decision tree was helpful. Although, I had to read this lecture three times in order to grasp the concepts.  This comments was left on 8/3/2006 5:20:24 PM.

ModelingUncertainty

The example verbal diaglouge between the analyst and the expert helped to illustrate a real world interview regarding gather information from experts.  This comments was left on 8/3/2006 5:18:43 PM.

MeasuringUncertainty

The lecture was good - graphs are helpful.  This comments was left on 8/3/2006 5:16:51 PM.

BenchmarkingClinicians

The introduction and how analysis should be done was very helpful because it gave a solid understanding of the concepts before going into detail with the calculations. The lecture could be improved by citing more complex examples.  This comments was left on 7/26/2006 5:04:38 PM.

RootCause

I like that the instructor showed screen shots of a software program to illustrate some of the calculation for the root cause analysis. As far improving the lecture, more background info on Bayesian Networks would be helpful.  This comments was left on 7/12/2006 12:10:24 PM.

DecisionTrees

Explaining the notations and symbols in the beginning was very helpful. Given all the diagrams and figures - having this lecture in PDF format would make it easier to print out. I feel that this is a lecture someone would want to print out and read - so having an easy format to print from would be helpful.  This comments was left on 6/27/2006 3:22:33 PM.

Preferences

The lecture was very detailed and clear.  This comments was left on 6/19/2006 9:02:08 PM.

ModelingUncertainty

The HMO example really helped in illustrating the concepts. But, I think having two examples instead of one would be even better.   This comments was left on 6/18/2006 3:47:26 PM.

MeasuringUncertainty

The SWF movie file helped a lot in explaining the calculations for likelihood. More animated/voice enabled helped to explain other calculations would be useful.  This comments was left on 6/16/2006 6:02:38 AM.

Preferences

The illustrations of the formulas and calculations really helped. However, i felt that the layout of the chapter was not ideal. All the methods pertaining to a specific assessment could of been together instead of broken up. For example, Single Attribute Value.  This comments was left on 6/1/2006 3:58:28 PM.

RapidPolicyAnalysis

The detail example at the end really helped to explain the concept of relying on subjective data to speedup data collection. As far as what could be improved: An example coud of been given to illustrate section 10, clean the data & generate reports automatically.  This comments was left on 6/1/2006 3:36:20 PM.

RapidPolicyAnalysis

The detal example at the end really helped to explain te=he concept of relying on subjective data to speedup data collection.  This comments was left on 6/1/2006 3:33:01 PM.

Preferences

This lecture was good. The examples of how to weight attributes, such as the hiring grid example, helped explain practical uses for modeling preferences.   This comments was left on 5/30/2006 8:00:41 PM.

IntroductiontoDecisionAnalysis

The real world example (Nursing Home Administration) really helped me understand the decision analysis process. This was helpful.  This comments was left on 5/25/2006 9:30:40 PM.

IntroductiontoDecisionAnalysis

The use of visual diagrams helped with illustrating some of the concepts. I would recommend more diagrams.  This comments was left on 5/25/2006 4:34:32 PM.

BenchmarkingClinicians

Very interesting. I was a bit confused if the benchmarking was based on subjective report from patients or objective data.  This comments was left on 5/1/2006 10:37:34 PM.

RapidPolicyAnalysis

This lecture is self explanatory and gave a better understanding to previous lectures  This comments was left on 4/24/2006 9:49:40 PM.

RapidPolicyAnalysis

It is easier to read this lecture at the beg and then again at the end of lecture  This comments was left on 4/18/2006 10:05:25 AM.

MeasuringUncertainty

it was a bit confusing at times and very wordy at times. Is question number 6 and 7 similar. Enjoyed the examples with actual numbers   This comments was left on 4/18/2006 3:34:36 AM.

RapidPolicyAnalysis

Discussion on using subjective data for developing models and objective data for validating the model's accuracy is hard to comprehend. More concrete examples would help. A visual example also.  This comments was left on 4/18/2006 12:30:54 AM.

RapidPolicyAnalysis

It was very helpful to assign this lecture as to be read in the beginning of the semester. It helped alot in understanding the process for rapid analysis and the other analysis we used after.  This comments was left on 4/14/2006 12:45:57 AM.

BenchmarkingClinicians

Watching the steps in excel are most helpful.   This comments was left on 4/13/2006 10:46:12 AM.

RootCause

Working with us in excel step by step helps us retain the information much better than the lecture alone. Thanks!  This comments was left on 4/13/2006 10:43:42 AM.

BenchmarkingClinicians

interactive and informal  This comments was left on 4/11/2006 7:40:10 PM.

BenchmarkingClinicians

The good example describes in classroom.  This comments was left on 4/11/2006 7:01:49 PM.

BenchmarkingClinicians

the lecture was easy to understand and complimented what we had been taught already in this class  This comments was left on 4/11/2006 6:56:55 PM.

DecisionTrees

It was a bit confusing on how to calculate the second decision tree based on the total cost from the first decision tree.  This comments was left on 4/11/2006 6:53:02 PM.

RootCause

The netica has helped me tremondously. It made it real easy. The classes get easier.  This comments was left on 4/11/2006 6:50:02 PM.

BenchmarkingClinicians

An example for the assignment would have been helpful. Had we not done it in class I would probably had some trouble.  This comments was left on 4/11/2006 6:48:32 PM.

BenchmarkingClinicians

Very interesting and pratical subject for me and my career. Good examples.   This comments was left on 4/11/2006 6:48:23 PM.

RootCause

lecture was easy to understand and interesting  This comments was left on 4/11/2006 3:15:43 PM.

RootCause

Example on med errors was helpful. Seeing atleast 2 examples seems to be the magic number to make it all click. More details on direct versus indirect causes would be good.  This comments was left on 4/11/2006 12:34:29 AM.

RootCause

The slides of the lecture should add narrative together.   This comments was left on 4/10/2006 10:06:23 PM.

BenchmarkingClinicians

Very well organized. It was easy to read and understand.  This comments was left on 4/10/2006 9:20:42 PM.

RootCause

the lecture was good and the steps to conduct a root cause analysis were helpful.  This comments was left on 4/10/2006 7:46:50 PM.

RootCause

Example on med errors was helpful. Seeing atleast 2 examples seems to be the magic number to make it all click. More details on direct versus indirect causes would be good.  This comments was left on 4/10/2006 4:06:11 PM.

CostEffectiveness

This chapter increased my understanding with dicision tree and calculation.   This comments was left on 4/7/2006 1:11:10 AM.

RootCause

The example used in class and applying it using the software (notica), was really helpful in explaining the process. More examples are needed to simplfy the concept of direct cause and root cause.   This comments was left on 4/3/2006 12:44:04 AM.

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  This page is part of the course on Decision Analysis, the section on "Course Evaluations."  It was last edited on 09/29/2008 by Farrokh Alemi, Ph.D.  © Copyright protected.