10:11:50 From P***** to Everyone : Hi, signal is patchy. I skip some words, and even went off. Just coming back. 10:11:51 From P***** to Everyone : Can't even see the screen. keeps loading 10:11:51 From P***** to Everyone : Would you be kind to share the presentation after? thanks 10:15:54 From E***** to Everyone : How is PMA integrated in the PHC service delivery level: Antenatal care. malaria treatment, etc. 10:16:37 From Elizabeth Gummerson to Everyone : Yes, we will share presentation afterwards 10:16:58 From P***** to Everyone : thanks 10:21:38 From Nina Brooks to Everyone : Blog website: https://ipums.github.io/pma-data-hub/ 10:23:21 From D***** to Everyone : whats your experience of taking only 2 years calendar data, is it a recall issue if we increase by one more year, what are the advantages and disadvantages of 3 years calender data, I think DHS collect for 5years 10:24:39 From V***** to Everyone : Can we have any measurement for recall bias? 10:35:26 From M***** to Everyone : Will Phase 2 data be collected in every location? What is the anticipated time of release for Phase 2 data? Thank you! 10:36:53 From E***** to Everyone : I see it is research tool and not integrated in service delivery. I thought you were also using it to encourage compliance and FP adherence. . 10:38:57 From Devon Kristiansen to Everyone : https://pma.ipums.org/pma/paa2021_side_event.shtml 10:40:39 From Sally Safi to Everyone : M*****, I will answer your question about anticipated release dates toward the end of the webinar. 10:40:52 From M***** to Everyone : Thank you so much! 10:41:19 From Dana Sarnak to Everyone : @D*****: Correct that the DHS collects about 5 years of calendar data. Data does seem to decline the farther you go back in time, so PMA made a decision to only collect a 2 year calendar. 10:41:52 From Dana Sarnak to Everyone : @E*****: Yes, the contraceptive calendar is a survey tool fo research purposes, not for compliance or adherence with a patient 10:42:48 From Dana Sarnak to Everyone : @V*****: What do you mean for measurement for the recall bias? I encourage you to look at the DHS report that evaluated quality of calendar data in 67 countries: https://dhsprogram.com/publications/publication-mr17-methodological-reports.cfm 10:43:10 From V***** to Everyone : thank you 10:43:53 From R***** to Everyone : Does PMA mark pregnancy abortion in the calendar data? 10:47:49 From Nina Brooks to Everyone : https://pma.ipums.org/pma/paa2021_side_event.shtml 10:51:01 From Dana Sarnak to Everyone : @R***** : we differentiate between live birth (B) and termination (T) but not specifically abortoin 10:51:02 From B***** to Everyone : If we don’t see the options? 10:51:09 From Elizabeth Gummerson to Everyone : R*****- the PMA calendar marks termination of pregnancy, but doesn’t differentiate between stillbirth, abortion, miscarriage 10:51:24 From J***** to Everyone : I don’t see any options anymore. Can I be put in the Stata room, please? Thanks! 10:51:32 From A***** to Everyone : the options 10:51:43 From G***** to Everyone : Yeah the options aren't showing up for me, either 10:52:30 From B***** to Everyone : R please 10:52:31 From G***** to Everyone : I'd like to be put in Stata if possible 10:52:40 From B***** to Everyone : No breakout room chooser has come up 10:52:46 From Y***** to Everyone : Stata for me 10:52:48 From W***** to Everyone : Stata please 10:52:58 From U***** to Everyone : Stata please 10:53:00 From D***** to Everyone : I can’t see options either, can I go to the Stata room? 10:53:14 From G***** to Everyone : stata here 10:53:21 From R***** to Everyone : stata please. 10:53:30 From B***** to Everyone : stata please 10:53:38 From B***** to Everyone : I would like to go to R, but it’s assigned me to Stata. 10:53:41 From C***** to Everyone : Stata please 10:53:42 From K***** to Everyone : Stata please 10:54:59 From N***** to Everyone : Stata 11:01:15 From D***** to Everyone : screen 11:01:16 From O***** to Everyone : Please share your screen. 11:01:46 From O***** to Everyone : Readable. Thanks! 11:01:47 From W***** to Everyone : font ok 11:03:09 From Sally Safi to Everyone : Again, this code is available for download here: https://pma.ipums.org/pma/paa2021_side_event.shtml 11:04:43 From B***** to Everyone : Could you please remind me if we should read it from left to right or vice versa 11:04:59 From Dana Sarnak to Everyone : B*****, you read the data from right to left in its original form 11:05:05 From Dana Sarnak to Everyone : But Devon is now reversing 11:05:29 From Nina Brooks to Everyone : For people more familiar with other programs like stata - this is the same operation as “reshape long” 11:08:27 From B***** to Everyone : great. thanks 11:15:26 From Nina Brooks to Everyone : https://ipums.github.io/pma-data-hub/ 11:18:46 From F***** to Everyone : Are there other modules that have time series data / data that can be used in long format? 11:18:52 From Z***** to Everyone : are there any published material on calendar data from PMA? 11:19:32 From W***** to Everyone : Many thanks for the workshop. However, I like to ask about linking other variables (demographics) and household with the calendar 11:19:46 From I***** to Everyone : Thanks for the workshop. It was informative. 11:19:47 From X***** to Everyone : with the new panel data, can you look at time for changes in marital status or sexual activity and link them to the calendar 11:20:16 From D***** to Everyone : can modern contraceptive prevalence rate from two cross sectional surveys be compared with calendar data. what are the limitations you foresee 11:21:57 From R***** to Everyone : Could you please describe the covid module in PMA? 11:23:44 From V***** to Everyone : Thank you for the workshop. It was very informative. I will try to using IPUMS data. . 11:24:10 From F***** to Everyone : The blog looks great! 11:25:00 From A***** to Everyone : It is interesting and I hope you will share us the recode. Thanks. 11:25:18 From Dana Sarnak to Everyone : @F***** Yes you definitely can! That is how people have tried to evaluate calendar quality in the past. You could compare modern contraceptive prevalence rate created from the calendar with independent current use estimates from PMA or even another survey 11:25:26 From Dana Sarnak to Everyone : The DHS report I put in the chat earlier does this 11:26:24 From Dana Sarnak to Everyone : @Z*****, here are some papers using PMA contraceptive calendar data: https://www.sciencedirect.com/science/article/pii/S2590151620300058 11:26:25 From Dana Sarnak to Everyone : https://read.dukeupress.edu/demography/article/58/1/295/167822/A-Panel-Study-of-Fertility-Preferences-and 11:26:44 From Nina Brooks to Everyone : For today’s Stata and R code: https://pma.ipums.org/pma/paa2021_side_event.shtml 11:27:50 From Nina Brooks to Everyone : For blog posts and coding tutorials using PMA data: https://ipums.github.io/pma-data-hub/ (check back here for some Q&A answered!) 11:28:21 From P***** to Everyone : hi Nina and Dana, can you put this on email, thanks. can i request to share the resources on email. am using a phone that is not so friendly 11:28:54 From Nina Brooks to Everyone : @P*****: absolutely! We’ll also follow up with the recordings 11:29:10 From P***** to Everyone : thanks and thanks 11:30:52 From Elizabeth Gummerson to Everyone : Just to clarify- phase 2 data for Kenya, DRC, Nigeria and Burkina Faso should be starting to be released this summer- 11:31:38 From M***** to Everyone : Thank you! 11:31:46 From S***** to Everyone : Thanks! 11:31:48 From D***** to Everyone : thanks, it was useful session 11:31:51 From Dana Sarnak to Everyone : ***** feel free to email me 11:31:53 From L***** to Everyone : Thank you! 11:31:54 From N***** to Everyone : thank you 11:31:55 From G***** to Everyone : thanks 11:31:58 From Y***** to Everyone : thank you, PMA and IPUMS! 11:31:58 From K***** to Everyone : Thank you so much. 11:31:59 From P***** to Everyone : Thank you 11:32:00 From T***** to Everyone : great, thanks 11:32:00 From R***** to Everyone : Thank you 11:32:04 From Q***** to Everyone : thank you! 11:32:04 From J***** to Everyone : Thank you 11:32:05 From F***** to Everyone : Thank you, this was great!