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The Statistics in Epidemiology (SIE) Section of the American Statistical Association invites you to join a Speed Mentoring Breakfast event at the 2019 JSM in Denver, Colorado! Recognizing that it can be helpful for junior statisticians to gather feedback and advice not only from within an institution but also from outside it, we established a mentoring program in 2016. This was successfully continued last year at JSM in Vancouver and resulted in 16 pairs of mentees and mentors. We are thrilled to continue this event this year. Similar to last year’s format, we will have a speed mentoring event during breakfast hours prior to start of the day’s JSM general ...
(Apologies for cross - posting) Mineola, Long Island, NY. The new NYU Long Island School of Medicine (NYU-LI SoM) and its Research Institute seeks an accomplished, tenure-track biostatistician to direct its Biostatistics program. The School of Medicine has as its primary mission: To train skilled primary care physicians who can also advance the health of populations as leaders in research and the translation of new knowledge into policy and practice . The role of Biostatistics is central to the overall mission of the new Medical School and especially critical for providing methodologic expertise for a wide range of clinical, basic and health services ...
RDD is a technique that originated in the 1960s by Thistlewaite & Campbell and re-invented by Goldberger (1972) and Tallmadge & Horst (1976). There are 2 types of RDD - Sharp RD vs. Fuzzy RDD; similar underlining concepts but here I will focus on Sharp RDD. In Sharp RDD, randomization is generated by a selection variable (running variable) the caused a discontinuity based a pre-determined cut-off score and consequently estimate a causal treatment effect. My discussion/question is: Is this "discontinuity" enough to strongly assume randomization and estimation of causal treatment effect without any bias (selection bias, measurement error, simultaneity, ...