[Population Modeling] Discussing the Population Modeling panel in SummerSim

Stefan Scholz stefan.scholz at uni-bielefeld.de
Fri Mar 4 02:12:55 PST 2016


Dear all,

could we agree on a mixture of the topics, like "data sources, parameter 
estimation and calibration"? My topic would be on "Social (media) 
network data in models in the absence of survey data: An example of the 
German MSM-population". It would take some creativity to fit that into 
"model calibration" ;-)

I hope this comes not to late!

Thanks,
Stefan

Am 16.02.2016 um 17:44 schrieb Dammann, Olaf:
>
> All:
>
> I like “model calibration” quite a bit.
>
> My paper would be on “Model calibration: Four levels of calibration – 
> A critical appraisal”
>
> Thanks,
>
> Olaf
>
> *From:*Jacob Barhak [mailto:jacob.barhak at gmail.com]
> *Sent:* Tuesday, February 16, 2016 5:36 AM
> *To:* Jeljer Hoekstra
> *Cc:* Stefan Scholz; popmodwkgrpimag-news at simtk.org; Mélanie Prague; 
> Dammann, Olaf
> *Subject:* Re: [Population Modeling] Discussing the Population 
> Modeling panel in SummerSim
>
> Hi Melanie, Hi Jeljer, Hi Stefan, Hi Olaf,
>
> Since the 14-March deadline for paper submission is coming closer, and 
> since we were discussing a panel, I would appreciate it if you can 
> decide on a common prefix for the panel.
>
> So far we had a discussion revolving around estimation, validation, 
> calibration. Please choose a common denominator title to fit all your 
> work that will form a base for the panel and submit it to the list.
>
> So far, here are the titles you suggested as I extracted them from 
> your posts:
>
> Melanie: 'simulation vs. estimation’
>
> Olaf:  "data sources, constraints, validation issues"
>
> Stefan & Jeljer: "model calibration" -
>
> The last topic of "Model Calibration" seems to be a common denominator 
> so far, yet still possible for debate - after all you had some nice 
> discussions and may have a better idea.
>
> Yet if the last topic prefix is comfortable to you all, then I ask 
> that you will submit your paper title to the mailing list to set the 
> expectations from the panel and leave you all sufficient time to write 
> the short paper.
>
> I look forward to see your paper titles.
>
>             Jacob
>
> On Mon, Feb 8, 2016 at 9:29 AM, Jeljer Hoekstra 
> <jeljer.hoekstra at rivm.nl <mailto:jeljer.hoekstra at rivm.nl>> wrote:
>
> Dear Jacob, Stefan and others,
>
> I agree with Jacob that estimation and calibration generate parameter 
> values based on observed data. I never explicitly thought about in 
> those terms but that is what it is.
> I have always used the terms in combination; calibrate a model and 
> estimate a parameter. I don't consider the one an automated search and 
> the other a manual human search per se . Usually if you estimate a 
> parameter the focus is on one parameter and a lot of statistical 
> theory and software exist to do that automatically. Whereas if you 
> calibrate a model the focus is often on all or a group of parameters 
> in the model, which is perhaps somewhat messier and needs more human 
> interference. I am not sure though.
>
> I am interessted in the topic Stefan raised. What if you find 
> parameters in the literature or you have estimated them yourself with 
> some dataset and then you test and adjust those variables (calibrate?) 
> so your model replicates  some other dataset better. How much change 
> in those parameters do you accept, keeping in mind that the parameter 
> may be interpreted slightly different in the calibrated model.
> Furthermore, if you calibrate your model you need some goodness of fit 
> criterium. I wonder if people have experience with weighing output 
> variables including a mixture of categorical variables (e.g. 
> dead/alive, smoking) and continous variables( e.g. BMI, cholesterol 
> levels).
>
> Validation is a related subject. I consider a model validated if it 
> can mimic, to some degree a dataset that was not used to 
> calibrate/estimate it. Obviously also here you will need some goodness 
> of fit criterium to see if the model is validated or not. In my 
> experience we do not often have the luxury of a complete extra dataset 
> for validation. So we end up in the discussion Stefan mentioned, if 
> the model is calibrated how far do we accept parameters to be 
> different from those estimated elsewhere.
>
> @stefan, thanks for poining out GAMLSS we will have a look.
>
> best wishes
> Jeljer
>
>
>
> From: Jacob Barhak <jacob.barhak at gmail.com 
> <mailto:jacob.barhak at gmail.com>>
> To: Stefan Scholz <stefan.scholz at uni-bielefeld.de 
> <mailto:stefan.scholz at uni-bielefeld.de>>,
> Cc: "popmodwkgrpimag-news at simtk.org 
> <mailto:popmodwkgrpimag-news at simtk.org>" 
> <popmodwkgrpimag-news at simtk.org 
> <mailto:popmodwkgrpimag-news at simtk.org>>, Mélanie Prague 
> <melanie.prague at isped.u-bordeaux2.fr 
> <mailto:melanie.prague at isped.u-bordeaux2.fr>>, Jeljer Hoekstra 
> <jeljer.hoekstra at rivm.nl <mailto:jeljer.hoekstra at rivm.nl>>, "Dammann, 
> Olaf" <Olaf.Dammann at tufts.edu <mailto:Olaf.Dammann at tufts.edu>>
> Date: 05/02/2016 00:50
> Subject: Re: [Population Modeling] Discussing the Population Modeling 
> panel in SummerSim
>
> ------------------------------------------------------------------------
>
>
>
>
> So Stefan,
>
> Since this is part of the discussion on your panel topic, you will 
> have to choose the topic and I will try not to intervene much. Yet do 
> allow me to add a note regarding calibration and estimation.
>
> Both calibration and estimation generate model parameters as outputs 
> from observed known data.
>
> Will you agree with me that the term calibration would be more 
> appropriate to human manipulated parameters while estimation is 
> perhaps more general term that includes automated machine algorithm 
> methods?
>
> I have seen the term estimation used for parameter estimation using 
> Delphi style human voting, so I think "estimation" would include 
> "calibration" as a sub category.
>
> Even though there is always some sort of human input to the modeling 
> process, it seems things are becoming more automated these days. What 
> term would you use for heavily machine dependent estimation algorithms 
> as opposed to human tightly controlled calibration? Is there a term 
> for those methods anyone in the list prefers using?
>
> Hopefully this will contribute to the panel discussion.
>
>                  Jacob
>
>
> On Thu, Feb 4, 2016 at 4:28 AM, Stefan Scholz 
> <stefan.scholz at uni-bielefeld.de 
> <mailto:stefan.scholz at uni-bielefeld.de>> wrote:
> Dear all,
>
> I just want to add the issue of "model calibration" which seems to me 
> as being related to estimation and validation. Just to give a short 
> example what I mean by calibration: We use some information of a data 
> set to estimate our model parameters, run the model based on those 
> parameters and see that the results are not externally valid. We the 
> iteratively change some of the input parameters until the model 
> results are externally valid. I would find it very interesting to 
> discuss if calibration should be performed and if so, how far from the 
> originally estimated parameters you would accept your calibrated 
> values to be. [I hope I am not stating the obvious or missed some 
> guidance on this topic already available ;-) ]
>
> @ Jelster: If you use R, maybe the GAMLSS-package developed by Prof. 
> Mikis Stasinopoulos is helpful to you. As far as I understand it, the 
> package was developed from the need of parameter estimation in 
> agent-based modeling. You can estimate all parameters of large list of 
> probability distributions. So let's say you want to estimate the 
> probability of getting diabetes conditional on age, sex, education, 
> etc. You can estimate a general linear model using a beta-distribution 
> and include the resulting coefficients to include them in your model. 
> So, every person in your model can calculate the parameters of the 
> beta-distribution based on their age, sex, education, etc. and you can 
> draw random numbers from that distribution to determine whether a 
> person gets diabetes or not.
>
> Best,
> Stefan
>
>
> Am 03.02.2016 um 01:45 schrieb Jacob Barhak:
>
> Hi Melanie, Hi Jeljer, Hi Olaf, Hi Stefan,
>
> It seems the panel is forming nicely.  I will try to summarize what we 
> had so far and help figure the rest.
>
> 1. The topic seems to revolve around "estimation and validation in 
> population modeling" with some variations. If you are all ok with this 
> general topic, I suggest we stick with it as a base.
>
> 2. It seems there is agreement on separate papers with the same title 
> prefix. So please allocate time on writing a short 3 page paper. Since 
> panelists are not closely affiliated, each will review the papers of 
> another panelist which will contribute to panel cohesion since the 
> panelists will influence each others final paper. Note that the review 
> process is public and non-blind.
>
> 3. Presentations followed by a period of questions to all panelists 
> seems to be the choice. I assume there will be 20-30 minutes per 
> panelist, yet we will have to set timing once we know number of 
> presentations.
>
> Olaf asked about other presenters. Yes, there will be other 
> presentations by non panelists. In fact any one of you can choose to 
> detach from the panel and submit a paper on their own. I will send a 
> CFP to the list following this message.
>
> The difference for panelists would be:
> 1. Panelists will have some discount that SCS promised - I have no 
> exact details yet.  This makes sense since they will have more 
> involvement.
> 2. Panelists will gain extra exposure which you are already getting 
> with these communications.
> 3. If time is available, panelists will get more time for discussion 
> beyond other presenters. I will communicate with organizers to see 
> what is possible beyond that.  Yet for now, assume the panel is part 
> of the BMPM track.
>
> Note that SummerSim is a Multi-conference, so having a panel may 
> attract more people.  From the past, you should expect about 10-20 in 
> the room for the presentation if last years are indicative. I suspect 
> a panel can attract more.
>
> So for panelists still interested, please:
>
> 1. Confirm that you are ok with the topic and format by sending an 
> email to this list. Or continue discussing the topic until consensus 
> is reached. And you can split into two panels with separate topics, or 
> announce you are interested in a paper outside the panel.
>
> 2. Start writing a short 3 page paper to submit to the SCS web site. 
> Recall that the title prefix should be the same for all papers if you 
> are in the panel.
>
> 3. Allocate time to review a paper or two by another panelist. This 
> review will be public.
>
> Hopefully this explains the next steps and I hope more panelists would 
> express interest in the topic forming.
>
>            Jacob
>
>
>
> Dear All,
> I agree with Stefan re 1 and 2.
>
> 1. I like the idea of talking about input-output stuff - data sources, 
> constraints, validation issues.
>
> 2. Fully agree with Stefan.
>
> 3. If we have slides, this should be flash talks, not longish formal 
> presentations. I am still unclear whether we have presentations from 
>  conference participants who are NOT panelists?
>
> My 2 cents
> Olaf
>
>
> -- 
> Olaf Dammann, MD
> Professor of Public Health & Community Medicine
> Tufts University School of Medicine
> Boston, MA 02111
>
>
> On Jan 21, 2016, at 4:00 AM, Stefan Scholz 
> <stefan.scholz at uni-bielefeld.de 
> <mailto:stefan.scholz at uni-bielefeld.de>> wrote:
>
> Hi all,
>
> thanks for all your efforts! Here are my thoughts on the three points:
>
> 1. Topic: I am not quite sure whether the topics really do mean the 
> same thing. I would understand Melanies suggestion as "what are the 
> differences in the results/*outputs* from estimation vs. simulation" 
> whereas I would understand the topic "estimation in population 
> modeling" more as estimation of model *input *parameters. (Please tell 
> me, if I got that wrong!) I think both are interesting topics and 
> maybe we could bring them both together under the general topic of 
> validity (external and internal). (i.e. how do we estimate model input 
> to get externally valid results and how do we assess the latter)
>
> 2. I would vote for separate papers under the same topic, sharing the 
> same prefix.
>
> 3. I would go for option B). Option A) is fine as well, but we should 
> make clear if there are some contrary opinions on this topic. If 
> panelists agree on almost every topic, this might get boring. Also, I 
> would see the number of people in the audience a critical factor for a 
> panel. If we are a small group, sharing the methods used for 
> estimation and discussing it in the group might be more beneficial to 
> all attendees.
>
> Best,
> Stefan
>
> Am 19.01.2016 um 19:42 schrieb Jacob Barhak:
> Hi Melanie, Hi Olaf, Hi Stefan, Hi Carl,
>
> You all expressed interest in appearing in a population modeling panel 
> in SummerSim.
>
> Melanie also suggested a topic:
> "differences and extrapolation concerns around 'simulation vs. 
> estimation’ in bio-medical area"
>
> At this point, I wish interested parties to discuss the following:
>
> 1. The topic - feel free to suggest alternative topics/titles and we 
> can see how having the panel will contribute to the topic. Note that 
> if we end up with different topics, it is also ok since others may 
> join to support the topic you suggested. Hopefully there will be 
> synergy, yet complementary topics or even different opinions are 
> possible. This discussion itself is valuable.
>
> 2. Writing Format. The conference includes a paper. Part of the 
> discussion should be how do you prefer to be published. Do you want a 
> joint paper? Or would you like each to submit a short paper with 
> similar topics? This would probably be tied to the topic you suggest. 
> Yet note that whatever paper format chosen, it will undergo public 
> non-blind review.
>
> 3. Presentation format: How would you like the talk to be? 
> Possibilities include: A) Totally informal discussion where panelists 
> converge amongst themselves, possibly with moderation and questions 
> from he audience. B) Presentations with a projector of each panelist 
> and then a period of questions. C) A combination of both, for example 
> very short introductions with a projector and then a discussion. 
> Assume half an hour per panelist, yet this may change.
>
> As a default starting point for discussion, allow me to suggest the 
> following:
>
> 1. Topic Estimation in population modeling -  its generalization for 
> what Melanie suggested - feel free to reshape it any way comfortable 
> to you.
>
> 2. Writing format: Very short separate papers using the topic as a 
> title prefix. to have a common prefix fro all panelists. Here is an 
> example: Estimation in population Modeling - application in Disease 
> Models.
>
> 3. Presentation format: Short digital introductions of about 15 
> minutes each - with only a few slides and a discussion that will start 
> with expanding prepared topics encountered during discussions and 
> review and then answering questions from the audience.
>
> This default can be changed during discussion.
>
> Please feel free to join this discussion if you are interested in 
> appearing in a population modeling panel in SummerSim - even if you 
> are not personally addressed. This post is initially directed to those 
> who expressed interest on this list, yet we can certainly expand the 
> scope to include more panelists, and I know of interest by others at 
> this point.
>
> I look forward to your opinions.
>
>                  Jacob
>
>
>
>
>
>
>
>
>
>
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>
> -- 
> Stefan Scholz
>
> University of Bielefeld
> Faculty of Public Health
> Department of Health Economics and Health Management
> P.O. Box 10 01 31
> D-33501 Bielefeld, Germany
>
> Phone: +49 0521 | 106-2648
> Mail: stefan.scholz at uni-bielefeld.de 
> <mailto:stefan.scholz at uni-bielefeld.de>
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>
>
> -- 
> Stefan Scholz
>
> University of Bielefeld
> Faculty of Public Health
> Department of Health Economics and Health Management
> P.O. Box 10 01 31
> D-33501 Bielefeld, Germany
>
> Phone: +49 0521 | 106-2648
> Mail: stefan.scholz at uni-bielefeld.de 
> <mailto:stefan.scholz at uni-bielefeld.de>
>
>
>
> Proclaimer RIVM http://www.rivm.nl/Proclaimer 
> <http://www.rivm.nl/Proclaimer>
>

-- 
Stefan Scholz

University of Bielefeld
Faculty of Public Health
Department of Health Economics and Health Management
P.O. Box 10 01 31
D-33501 Bielefeld, Germany

Phone: +49 0521 | 106-2648
Mail: stefan.scholz at uni-bielefeld.de

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