‘Replicability across laboratories in mouse phenotyping’, Measuring Behaviour, Wageningen (2014).
‘In Hochberg’s Tradition: False Discovery Rate in Clinical Trials’, IMPACT III conference, Carey, NC (2014).
‘Selective inference in high dimensional data analysis’, AIMS on High dimensional data analysis’ Stanford (2015).
‘Tukey’s two cornerstones of replicability’ MCP (2015), Hyderabad and Tukey’s 100th Birthday, Princeton (2015).
‘Significance testing harms replicability only if misused’ (2016) JSM Chicago.
‘Lessons from replication studies about ways to increase replicability. International Biometric society, Victoria (2016).
‘Assessing replicability as a step towards its improvement’ Sackler Colloquium at the National Academy of Science, Washington DC (2017).
’Assessing replicability in single laboratory experiments’ IBANGS, Madrid (2017).
‘Selective inference in hierarchical high dimensional data analysis’ Conference in honour of Prof. Donoho, Stanford (2017).
‘Selective Inference Challenges in High Dimensional Data analysis’ The Pao-Lu Distinguished lecture, Tsinghua, China (2017), Luminy, France(2017), Joint Statistical Meeting, Baltimore (2017) and Wilks Lecture, Princeton (2017).
‘Pitfalls and Challenges in Big Data Research’ Chicago (2018).
‘NEJM new guidelines for
statistical reporting and the p-value controversy’, MCP Taipei Taiwan (2019).
‘Addressing the effect
of selection on inference with the FDR’, CERN Geneva Switzerland (2020).
‘The scientific
challenges that have given rise to FDR methodologies 1990-2020’ The
International Statistical Institute Pearson Prize Lecture web conference (2020).
‘Confidence Intervals
for selected parameters’ Banff web conference (2020).
‘Biostatistics in the
era of Data Science’, EMR web conference (2021).
‘The replicability
problems in Science: It’s not the p-values’ fault’ AAAS Philadelphia (2022).
‘Replicability issues in
medical research: Science, Math and Politics’ Luminy,
France (2022), NCI Bethesda USA (2022), EMR, Izmir Turkey (2023).
“Addressing selective inference: Politics, Math and Science’ Conference in honour of Prof. Sarkar, Philadelphia (2023).
“Addressing selective inference: Policy and Science’ International
Conference on Statistics and Data Science, Lisbon (2023).