*4th PLACE* of our most impactful articles published in @RSeriesa in 2020 according to @altmetric:

Tanner et al: doi.org/10.1111/rssa.1…

🧵👇🏽
*CONTEXT* Dynamic prediction models provide predicted probabilities that can be updated over time as data become available. There is growing interest in the use of #machinelearning 🤖; yet, their use in the context of dynamic survival #prediction has been limited.
2/n
*AIM* Show how #landmarking can be combined with a #machinelearning ensemble to improve prediction performance

*METHOD* Use of discrete time #survivalanalysis techniques to enable the use of #machinelearning algorithms for binary outcomes
3/n
*FINDINGS* The proposed #ML approach showed similar cross‐validated predictive performance to
standard landmarking approaches but greater than joint modelling
4/n

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More from @RSeriesa

18 Jan
*NEW THREAD* This week we’ll be featuring the top 5 most impactful articles published in @RSeriesa in 2020 as captured by @altmetric

We’ll feature one paper per day in reverse order tarting by our 5th place

🧵👇🏽
1/n Image
Top 5th most impactful paper: Ellison et al: doi.org/10.1111/rssa.1…

*CONTEXT* Fertility projections are a key determinant of population forecasts, which are widely used by government policy makers and planners
2/n Image
*AIM* Propose an intuitive and transparent hierarchical #Bayesian model to forecast cohort fertility

*METHOD* Use of hamiltonian Monte Carlo methods and a data set from the human fertility database
3/n Image
Read 4 tweets
15 Jan
*FINAL DAY* Today we featured the top 3 most cited articles published in @RSeriesa in 2020

We’ll do this in separate threads in reverse order & we start here with the 3rd place

🧵starting👇🏽
1/n
3rd most cited paper by Phillippo et al doi.org/10.1111/rssa.1…

*CONTEXT* Standard network meta‐analysis & indirect comparisons combine aggregate data from multiple studies, assuming that any effect modifiers are balanced across pops. & often incurring in aggregation bias
2/n Image
*AIM* Propose a new method extending the standard network meta‐analysis framework

*METHOD* Use of general numerical approach using quasi‐Monte‐Carlo integration
3/n Image
Read 4 tweets
14 Jan
THREAD* We continue featuring the top 10 most cited articles published in @RSeriesa in 2020

Day 3: today we featured articles ranked 4th & 5th on the topics of #shipping 🚢 & #slavery

🧵starting👇🏽
1/n Image
The first article is by Silverman: doi.org/10.1111/rssa.1…

*CONTEXT* Quantifying hidden populations such as victims of modern slavery is challenging; yet, needed to develop strategies leading to legislation, inc. the Modern Slavery Act 2015
2/n Image
*AIM* Investigate the stability and robustness of various multiple‐systems‐estimate methods to measure modern slavery using Kosovo 🇽🇰as case study

*METHOD* Use of multiple‐systems‐estimate methods to develop a new Markov chain Monte Carlo #Bayesian approach
3/n
Read 8 tweets
11 Jan
Hello World! Today we launched our brand new @RSeriesa Twitter account!🥳

We also welcome @Fcorowe who joins our editorial board

Our *AIM*: share all the great work published in our journal 👉🏼 bit.ly/3sfKdiK & all about #stats! Interested? Give us a follow🙏

First🧵👇🏽 Image
We’ll celebrate the launch of this account this week by highlighting the top 10 most cited journals published in JRSSA in 2020 🎉

*DISCLAMER* in reality they will be 13 given that a few of them have the same number of citations = same rank position. A bonus for you!

2/n
We start with the first 3 in reverse order from 10th to 1st

First up! A paper by Fadlalla Elfadaly & Paul Garthwaite: doi.org/10.1111/rssa.1…

*AIM* Establish a prior distribution to represent expert opinion in a multinomial model setting

3/n Image
Read 12 tweets

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