Summer Project Schedule2018-06-24 3 min read study abroad, statistics, To do Data analysis finish by 2018-07-2431 Paper structure confirm by 2018-08-01 Paper draft complete by 2018-08-162018-06-24 Read and try to repeat Rll’s method in R and familarize the dataset ASAP Two papers applying Repeated Measures LCA2018-06-25 Meeting with supervisor and Susanna Confirm the cutoff of carborhydrate consumption Talk with Rll ask about the methodology and dataset2018-06-26 Send the summarised memo of meeting to Supervisor and etc. Read the first part fundamentals of LCA.2018-06-27 London R in UCL Germany lost their game against South Korea, UNBELIEVEABLE2018-06-28 Read the book collins2010latent - Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences (Done until 4.2) Learn how to do LCA in R2018-06-29 Read the book collins2010latent - Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences (Done until 4.3) Data management for NDNS 8 years data (70%) Learn how to do LCA in R Start to analysis the data according to the discussion on 25th(30%) Day1 data analysis results summary2018-07-01 Relax and do nothing Buy some drink to enjoy the night with classmates(HB)2018-07-02/03 Send some preliminary results to co-authors Japan lost the game to Belgium, but they are the glory of Asia–heartbreaking2018-07-04 “consider separating weekdays from weekends if we are not averaging the four days?”2018-07-05 Test and confirm the availability of LCA in SAS Learn how to do LCA in SAS with NDNS data2018-07-06 Learn how to do LCA with random effects in SAS Find whether there is any possibility of conducting the same method in R or STATA (no there is no way)2018-07-07~09 “Maybe we should try with the threshold at 25% only as per the existing guidelines (although those are per meal)?”2018-07-10 ~~Meet with tutor; Start writing about the methodology; Try to start writing about the introduction;2018-07-11 Try to summarise the meeting memo yesterday; Re-analyse the data with new cut-off values (25, 50, 75); Re-analyse the data with new cut-off values (50);2018-07-12~22 Use latent class growth analysis; Use multilevel latent class analysis; Think about the mathmatical theory behind the mixed LCA, write to PROC LCA group if necessary;2018-07-23~25 Learn about the survey package in R Finish writing about the methodology; Write some introduction;2018-07-26 Let’s finish analysis of the classes and health outcomes. Read about the carbo-fibre ratio references.2018-08-15 PM review Finish most of the discussion outlines and 2 pages of them.2018-08-31 Finish revising the report according to comments from LP and SAM; Read RT’s report and send the comments; Confirm the deadline for funding applications; Prepare the abstract for conferences (UK and JP); Start preparing the paper for submit (MLCA part alone); Think about the schedules and plans after leaving London; Finish the post of Scotland trip.LSHTM To do Medical Statistics王 超辰 - Chaochen WangReal World Evidence ScientistAll models are wrong, but some are useful.Please enable JavaScript to view the comments powered by Disqus.comments powered by DisqusRelated對數似然比 Log-likelihood ratio偉大的中心極限定理你買的彩票中獎概率到底有多少?概率論2Matrix Revisions