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Inferences and Conjectures
The scientific paradigm of collecting and analyzing data has contributed considerably to advances in medicine, biology, and public health. The development of study designs and statistical methods for assessing the effect of a treatment or exposure on an outcome of interest has long been the object of intense research. The gradual increase in complexity of some of these methods has both expanded the potential of research and introduced barriers for non-expert users. The latter have in turn increased the risk of misinterpretation of results. |
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Papers
Bottai M. Lessons in biostatistics: inferences and conjectures about average and conditional treatment effects in randomized trials and observational studies. J Intern Med, 2014, 276(3):229-37. Santacatterina M, Bottai M. Inferences and conjectures in clinical trials: a systematic review of generalizability of study findings. J Intern Med, 2016, 279(1):123-6. |
Presentations
September 7, 2016 Optimal probability weights for inference with constrained precision. International Conference of the Royal Statistical Society, Manchester, UK December 18, 2014 Why and how to separate inferences from conjectures Stockholm Register Summit, Stockholm, Sweden |
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Unit of Biostatistics, Nobels väg 13, Karolinska Institutet, 17177 Stockholm, Sweden |